This DHR is to trucker use level one academy targets personnel that want to understand the two trucker features and how to enter and analyze a trucker data. There are several other complementary trucker causes that can be taken later for example trucker configuration on rate implementation trucker implementation management. However, current time expect you to that. Now, before I continue, maybe I would like us all to mute our mics. Later on will be giving you a chance to kind of speak or ask some questions so we request you to mute your mics for the time being. Great. So, the course material assumes that we as a facilitators of the academy organizer we assume that we have taken the event fundamental online course, or have similar experience in working with events in DHS to. So this kind of prerequisite for this particular academy. So, for those who are quite new repetition DHS to has a data model or data model is divided into two section aggregate model and a trucker model so for the aggregate model we allow or you can be able to collect your aggregate data. Store them in data sets and let on, you know, I use it to produce some analytical visualization, for example, tables charts and maps and etc. So that has been kind of a niche for the HS to in the beginning, however, the HS was matured has also accommodated the trucker model where you can either register events one time events, but also you can track a profile or a client or a particular trucker item through different stages. There are many examples of these trucker how countries are using the trucker model for example, for the event program. Guys please try to mute your mics. Yeah, thank you. So for the event programs you can have a program for example, death registry where a person you collect the information for the disease info, the disease information for for the cases who are died so that is a one time event which happens when you register that, then of course that can be used to analyze or to produce some analytical information for that particular program, but you could also have another program for example immunization where you want to trap children who immunize through different stages, different visit, then the trucker program is the one which is kind of ideal for your particular case. And of course as I said this particular Academy is focused more on the DHS to model a trucker model for for using this now trucker information. So what are the leaning goals. In the community we want to strengthen or increase the level understanding of the features that are valuable within the DHS to trucker. So that is something which we really want to kind of strengthen within the DHS to community but we also want to strengthen or to increase the ability for the community to enter trucker data within the trucker program but as well as to create and use these analytical outputs which are coming from the trucker model. I think this particular Academy is aiming more on promoting the use of trucker model by, you know, or ending you to the different use cases but as well as giving you ability to see how you can analyze this information from the trucker model. So performance objective one is to explain what DHS to trucker is and I think at the end of this Academy you'll be able to know exactly how to distinguish between the trucker model and the aggregate model. Describe describe different methods of capturing trucker data, but as well as utilize these different data capture methods to enter trucker data. Yes. Hello, can you hear me. Yes, great. That is good. Yes. So. So yes. Yes. Yes, so our learning objective is more on using these latest DHS to trucker features. See how you can use them as well as describing how you can capture this information on the web and on the Android as well. So by the end of this Academy will be able to both being able to interact track track and act on the web but as well as using this information through the tables charts and mouse. So our course overview for the next five days. This is how we'll be starting I think day one will start with opening. Our colleague will take you through different platform which will be using for this particular training. This will be Moodle DHS to and also the slack which you're already being familiar with will take through the different Academy use cases but as well as covering some of the trucker data models. Day two will focus more on the capturing of track information both on web and in Android and then day three will be day three and day four will be more on the analysis and where we'll take or review some of these analytical tools which are valid. Day five, it will be a little bit of introduction to different custom apps are using trucker doctor but we'll be having an exam a one hour exam and then of course, for both who are pass who pass will try to find a certificate for you and then we'll be holding the session. So, overview. Our course will consist with different exercises assignments and also the final exam which will be on the fifth day. We expect for you to pass, you need to achieve at least 70% from your graded assignments and the final exam. So, you need to really work hard to make sure that you attend the session also do the assignments and the final exam as defined the instructors will give you will give you advise you. The evaluation plan, this is the breakdown where you have the attendance we expect you to be joining the five days to listening in, but also from different models we have break down the weight for the marks and of course, the final exam carries the 20%. So, we really like to work in learning by. So this Academy will be more focused on making or giving you more assignments so every day the facilitators will give you a lot of assignments to take or to work on that. So, if you face any problems, please feel free to reach out to the facilitators through different channels and I think one of them being the slot slot channel which we have for the attendance but will be sharing with you the word of the day, every day. So, you'll be having three attempts in case you misplay misplay to kind of enter the correct wording. Each day the facilitator will be giving you this word of the day. So you'll be taking it and popular entering it into the model platform. I'll leave it to my colleague to take you through that in a few moments. But before we continue, if you have any questions please feel free to ask them, but we request you to ask these questions, put those questions into the Slack channel. We have a question Slack channel so feel free to post your questions there. Otherwise, I welcome my colleague, Prospa, from Uganda to take you through. Yeah, as we wait for questions and when telling the questions on the chat or raising hands, we're going to switch into introductions now and we will have three sets or four sets of introductions. We will first of all start with introductions of the facilitators and we have two types of facilitators, actually three types of facilitators. We have facilitators in Darasalaam and we have facilitators in online and we also have facilitators at the University of Oslo in Norway. So to help us go through this, I have a few slides I'm going to share. We're going to use Mentimeter as one of the tools to help us really pick all the registrations and the information about this academy. Yeah, so to start with, let me allow all the participants online to go to the anywhere browser and type ment.com. Everyone get into the web browser. You can even use your phone if you want to follow on the screen but I'm sharing. Just go and type ment.com and it will ask you for the code, the code is 33636218. As we are doing that, I will take the opportunity to introduce the team that we will be facilitating this academy for the next five days. So we will start with the team in the room here at his Tanzania offices. And we will take a round. We are about a good number here. I will start with myself. I'm Prospa Behambeze from East Uganda, DHS to implementation advisor, having worked with DHS to trucker for now over seven years. So I hope I can be able to share my experience with all of you attending today. So I will start again on my left. Don't know if you'll be able to see the faces. Thank you, Prospa. My name is Jean-Paul Atelikmana from East Uganda. Working on capacity building and deployment and specifically focusing on data use. So we're sharing a lot regarding data use. Thank you. Thank you very much, John. Next is our other colleague also from East Rwanda. Okay. Thank you very much. Good afternoon and good morning to everyone. This is Adolf Kamugunga, working for East Rwanda. I'm happy to be here and share with you the experience with DHS to trucker use. Thank you. And we go next to the next person in the room. Hello, everyone. My name is Dr. Wilfred Senyone from East Tanzania. I've been with DHS to community for the more than a decade working at different implementation, both aggregate and also trucker. Welcome again to this DHS to trucker use in Africa. Hello, everyone. I'm Maurice from Uganda. Neonize Maurice from Uganda. We'll share experience regarding to the trucker use. Hello. This is Chuzo from his Tanzania. I've been working with the DHS to platform for quite some numbers from some years. I'm hoping also to share some experience regarding to trucker use. Thank you. Hello, everyone. My name is Daisy Pseema. I work with East Uganda and I have been working with DHS to trucker for about five years now. Look forward to sharing my experiences with you. Hi, everyone. My name is Aliyah Bilaba. I'm working with Christian Lenny. I've been working with DHS to mentor for like five years and looking forward to sharing my experiences with you all. Thank you very much. We are down in the room. There's also another team that is not in the same room with us and I will take it on to Ismail. Thanks, Prospa. Good afternoon, everyone. My name is Ismail Yusuf from the his Tanzania team. I have also been part of the DHS to implementation and community for the past decade. And I've gained a lot of experience through all that time and I hope to also share my experience through this academy and through the community as well. Thank you. Looking forward to the whole week. Thank you very much Ismail. Any other person who is in the house that's not in interviews? Okay, so let's go to our other facilitators online. I will start with the, again, the East Uganda team being selfish. So East Uganda team online, Monica and Emma, go ahead and introduce yourselves. Hello. My name is, good afternoon, everyone. My name is Emma. I work with East Uganda. Thank you, Emma. Monica. Oh, sorry. Go ahead, Emma. No, it's okay. Thank you very much. Good afternoon to you all. Actually, Emma's name is Imatula, she's with East Uganda. And mine is Mouha Monika. I also work with East Uganda. Good to see you all. Thank you. Thank you, Monica and Emma, East Uganda. Let's go on to Hisp Malawi. All right. Good afternoon, everyone. I'm Duong Amanda. So I'm with Hisp Malawi and I also work with the Inverse of Malawi. So also mainly working with DHS2 Trucker, both in health and in other sectors like the agriculture. So we are hoping to share the experiences from there. Thanks. Thank you very much. Let's go on to Hisp Kenya. I think Wesley and Kim are still connecting. We will again be able to introduce them as they come in. Okay, so that's on the Hisp groups that are within the East and Southern Africa that are going to be delivering this academy to you this week. Again, you've had the expertise and the backgrounds of each of them. You connect both on Slack and even online during the sessions and even after. I know the time may not be enough during the academies. So we'll see that the team is available to help you throughout the nights and evenings so that you can be able to achieve your objectives for this academy. So without again wasting time, let's go to the team in the Inverse of Oslo. Hisp, you are home. And I'll start with the... We have Aris there. Aris, I think will come again to be engaged. Mike, you can go ahead. Hello, I'm Mike Frost here with the University of Oslo. I'm the Product Manager for Tracker. I have been working in that role since around 2015. But prior to that have been working in the collection of individual data for a total, I think of 15 years at this point across Africa, Asia, the Middle East. Very excited to have you all in the academy this week. Hello, Mike. We will again get you some properties that talk to the teams that are on. Do we have any other person from the University of Oslo? I'm still going through the list to see. Okay, then we'll have our guest from Dara Salam, Tanzania. But that will be introduced later on. Let's go to the... Okay, we are good, I think. Okay, so we are good to go to now the participants. And for the introduction of the participants, we're going to use Menti. And as I give any of the instructions, I hope everybody has been able to get to Menti and be able to... to log in. We all managed to log in. So if you have logged in, we're going to use this Menti to introduce ourselves, all the participants. The facilitators, please, you may not at this time take all this. So let's go to Menti.com. Just trying to see... Okay, thank you for the introduction. Very good. Yeah, so at this point, if you have been able to log in, let's go to our introductions. So for the first part of the introductions, we want to know which country you work in. Again, please go to Menti.com. And then the code is still there. If you see in my upper screen, the code is still there. And we want to see which country you work in. I know most of you are expatriates. So just to be able to see which countries we have represented in this team. Let's see. And I hope you are able to see on the screen and see the representation. The bigger the size of the word, the more participants we have from that country. Please, let's go quickly on this. We only have 35 people who have been able to join and share. And yet we have over 50 participants in the room.  Where they are working, sorry, not come from. In which country you are working in. Okay, the host country is winning. And of course, by design, I think that was expected. I did a lot of mobilization around here. So we break food for Tanzania and present representation. I think followed by Uganda and Kenya. We see quite a lot also coming from the southern part. One day Swatini. Welcome. Okay. So we are 70 meaning that we are almost getting to our numbers. And it looks like some, some facet of cheating for their countries. Because we have 70 people in the house and all of them are participating. Okay. Thank you very much. Let's go to the next question. The next question is the other way of introducing ourselves is what's your job title. And we have options to choose from. So please move to the next submit and then choose from the options. Okay. Interesting. Quite interesting to see system for us as part of this team in the training. With the image educational management information officers also trying to leave there. Again, these responses will be shared with you so that you can be able to know who to reach out to. In terms of the slack interaction. Okay. So. Yeah. So for the participants who are joining us because I see some people just dropping off and coming back. Because because of the challenges of internet. Please go to mental.com and that's the code. So it's displayed on the screen there. And join us for this exercise of introducing ourselves. Okay. So I'm crossing this and then we go to the next. Introduction question. Okay. Yeah. So for the participants who are joining us because I see some people just dropping off and coming back because because of the challenges of internet. Please go to mental.com and that's the code. Okay. So for the next question. We're looking at gender. What's your sex? So they choose to option that option is from. Okay. So we have the male leading as. The male, the first one to fill the form or. Where the female in the room in the house. Okay. Yeah. So that is by number. It's not the percentage. It's the number of individuals. Okay. So we're coming into the waiting room. We are just joining us. We are in the process of introducing ourselves. Apologies. The other option is female. Not sex. Apologies for that. So please select. The sex. I will change it. Okay. Apologies about that. Ladies. I will. We will change it immediately. Again, this is that analysis and presentation and use that we are going to be all learning this week. So. Don't get worried. So let's move on to the next. Because of time we need to catch up with time. Yeah. So we're looking at your age group. Not for the purposes of grading you by age. But we want to know a little bit about our age distribution in terms of this learning, maybe some of this academy. Good. Let's move on. Again, it's data entry and analysis, which we are here for this week. So we are able to see the skills in terms of being able to enter the data quickly and then be able to analyze it and present it and use it for our purposes of learning. A few numbers to go. A few more entries to go. Please input the data. Again, this is anonymous. Who is young? Who is old? So go ahead and enter your. I think some people opting out on this question. Please. We don't know who is feeling what. So go ahead and give us the age range. And then we'll put good to 60. We can move on if we have 60 on the 57. Okay. Those are opting out. Let's go to the next question. The next question is about what type of organization you're currently working with. So we have options there. The government, ministries, could be any ministry, an NGO, a private sector and others. Best thing to see a good number of colleagues, a good number of colleagues from the NGO world, but very important also to recognize and appreciate our colleagues from the government, ministries of health, education. Okay. Next, we have 54 participants. I hope to see the current presentation. Which is the type of organization? No, we can't see. No, no, no, no, you can't see. What can you see? The previous one on age. On edge. Okay. Let me do this. I hope I don't move anyone. Can you see it now? Still stuck on age. But maybe if you tried to just resharing the entire screen. Okay. Yeah, there now we can. Oh, okay. Okay, so yeah, the organization represented in this academy. So we have our NGO world topping up here, which is very good because I know all of you are supporting all these implementations in the different countries. But again, very delighted and they appreciate the ministries and the governments. So we are 58 and I, let's give it a few minutes and then we can move on to the next last questions. So the next question is about your experience in terms of use to the the DHS to track. Again, these are numbers. They're not percentages. We want to know how many people have used the DHS to track before. And here we are looking at an implementation where you have been able to either participate in the entry, participate in the design, participate in the deployment, implementation, or enter entry. And I see a good number of us already have experience in using the tracker. To our colleagues who are saying no, I hope you are able to do the online track academy. So that would give you some good experience in terms of how the tracker works and what it does. And I hope you are part of us in the webinar where a few use cases were presented out of the many ways that track has been implemented, especially within the eastern southern Africa. Again, as you heard from the team of facilitators, feel free to reach out to them on Slack. They will be there to answer your questions even after the training. Okay, we seem to have lost some people did not get back into the 90 because we already stuck on 59. So let's continue to the next and probably the last, no, the second-last introduction. So just to quickly look at our expectation, how do you feel about this academy in terms of readiness to commit not only the three hours that we will be having during the day, but also after, I think it may also encroach on your time during the night to be able to accomplish some of the exercises and also be able to interact with the facilitators. So how do you feel about your readiness and your preparedness to be able to participate fully in this academy for the next five days? Okay, good. Thank you very much. I think, yeah, we see quite a number of you are ready to move on. So since we are all majority, which is almost 90% ready to move on, let's move on. And then lastly, what are your expectations for this academy? What do you expect to get out of this academy? Again, this is free text. Please share your expectations. And again, we will be able to see if some of them will be met by the delivery of the different sessions that we're going to have this week or we could be able to take the discussions to the Slack and also even have some personal calls to be able to support you meet your expectations because committing for this week time to this, we really need to be able to meet your expectations. Okay, so be able to set up a tracker app for use. If you understand the tracker, learn more about the tracker, you're going to do the knowledge, be able to understand the use of the tracker, access, gain more skills, and get a certificate. Learn how to use a tracker app and analysis data that's going to be well covered. Learn more about the event tracker. Yes, this will be standard on there today. Try to explain the difference between a tracker and an event to get to know the new features of the tracker academy and what is coming. And then also, yeah, that we are going to be handing over to Mike, our product manager for the tracker, also be able to tell us about the tracker and what's coming up. Please hurry up with your expectations. Again, we are going to have this shared with you either through Mudo or Slack so that you can also be able to see who is in this academy, where they are coming from, what their expectations are, and how we can better be able to work together to make sure that the teacher is to track her. Data is used. Yeah, so with this, allow me to now go to the next part. Thank you very much for taking part in this introduction. And now it is to know who we have here in terms of the presentation. And during our training, we will be able to extensively apply different use cases, examples from all these domains that we have. Thank you very much. I will stop here and then we go to the next part of our introductions. And I will ride bike, micro from West of Oslo, give us a few marks and around the DHS to track her. Thank you, Mike. You were able to admit yourself and speak to the participants. Thank you. Thank you. Yes. I'm really glad for you all to be able to attend this academy and super grateful for the his groups and the ministry support for, from my perspective, this is one of the most important topics that in the public health community we can be working on at this point. I think we've seen coming out of the World Health Organization and many of the global health agencies an increased emphasis on being able to collect individual level data, longitudinal data, and for many different purposes. So I was glad to see that we have some people working with education here as well. That's a key priority for us. But we've also seen just very clearly during this global pandemic, the last couple of years, how many countries now are ready to proceed and need this kind of individual level data. And I would just share from the perspective of those of us here at the University of Oslo that are working on the platform, we have a strong belief that the data that are being generated at the lowest level with the patient, with the client, with the student, with that interaction, those are the data that are going to be able to be reused and used for many different purposes. So we know that in the past, many of the health information systems really were only able to get aggregate level data up to the top and do kind of national or regional or district level reporting, reporting to global organizations, global agencies. But that data, the source of that data has always been at the bottom of the chain. It just couldn't travel. Over the last 10 years, we've seen a dramatic increase in the availability of technology to be able to collect that data. And at this point, we have over 80 different countries that are using tracker for collecting that kind of individual level data, which was very helpful when the COVID pandemic hit because many of those countries that were already starting to use individual level data or were ready to move forward quite a lot and being able to collect data around that was necessary for contact tracing for test results. And you also saw many of the different people that needed that data, that it wasn't just at the top level, but also the patient or the client themselves needing to know what their test results were, needing to know when to return for a second dose of the vaccine, needing to be informed if they have been in contact with somebody who had tested positive. So you can see from the patient or client perspective, you could also see from the healthcare provider's perspective, they need to understand which of their client population they need to follow up with, those that are ready for their second dose but haven't returned to the clinic. This is the same across health needs, not just in the COVID space. And so what we would like to do is simplify data collection by collecting this individual level data. The aggregations can happen parallel to this and from this individual level data. But it actually has always been the source of the kind of health statistics. So those are the guiding use cases for us in the tracker platform. We here at the University of Oslo, we're doing two updates every year of the tracker platform. Every six months you see with the release of DHS-2 that there are more and more features and functionality. We work very closely with the countries that we have a relationship with and that we can to understand their users' needs. The HIST groups are very central to that, to be able to contribute to what the requirements are, what the bottlenecks are, what is working well and what isn't. And so if you have been a tracker user over the last couple of years, you've probably seen some fairly dramatic changes in the platform itself, particularly around performance, for example. This was something, again, the timing was perfect when we hit this global scale of needing to collect individual level data for global pandemics. We worked very closely with some of our large tracker implementations to make sure the tracker could handle that level of data. That you could have a national running implementation that was constantly being accessed to show testing results or to provide vaccine certificates. In addition to that, you've seen a lot of changes in the way that we handle the functionality of the data in terms of analytics and what data are presented back. And the person at the client level or the care provider or the teacher for the education system, they need very different kinds of data than those that are managing the national programs or those kinds of data that are being passed on to the global data, global health organizations. So all of these considerations are things that are driving the functional development of tracker. You will see in this coming year a dramatic new look to tracker. We've been working on this now for a couple of years to rewrite kind of the look and feel and make it easier for the person doing data entry. And we realize that for most of the users of tracker, they're actually not people that need to know anything about DHS too. What they need to know is what are they supposed to enter? How are they supposed to use the data? What decisions should they make with that data? And so we're trying very hard to get the software out of the way, but rather to present the data in a way that is useful for decision making. So I'm hopeful that this week you will get a much better understanding of the kinds of functionality that is available, but also as you are designing your programs and as you are thinking about your data users and as you yourself decide what data are needed, that you will recognize the power of that individual data, the ways that it can be combined or aggregated in various different approaches or presented in different ways to drive decisions and to change the way that healthcare is provided or the way that education is provided. So again, very grateful for all of you for participating. We are seeing many, many of these types of academies taking place globally at this point and many, many new users are coming on every week to DHS to tracker as a platform. We take this responsibility very seriously and we'd always love to hear more from you about your needs and what problems or challenges you are facing. So thanks to the HIST groups for facilitating this for the week and excited to see how it goes. So I guess with that Prosper, I'll turn it back to you and happy to answer any questions if they come up in the chat. Yeah, thank you very much, Mike, for really those encouraging and way forward in terms of the tracker development. We really appreciate your time to speak to us and also the participants. Yeah, now we are going to, we have a special guest from the Ministry of Health in Tanzania, United Republic of Tanzania, Mr. Macha, with the director of M&E at the Ministry of Health and also sitting in the big shoes of the permanent secretary for now. We will allow him to give us his remarks as the DHHS tool in the East Africa has been long or used in Tanzania. So you're welcome, Mr. Macha, to speak to the participants and the participants. Mr. Macha, if you're talking, you're muted. Hello, Mr. Macha. We... We're not able to hear you if you're talking. Okay, could be some technical challenges over his side. But just to save all the time and move on, we will be able to get these opening remarks. Let's move on to our next session as we try to connect you with Mr. Macha to be able to deliver the opening remarks. And we're now going to take it to some. For most of you have been looking at our agenda today. We apologize, we are running a little bit late, but we're going to catch up in terms of time. So we are now moving to look at the platforms that are going to be used in this academy. And we do encourage participants to pay keen attention to these presentations so that you can be able to... you can be able to be able to participate and follow the sessions and also be able to know what to find, what and where to be able to ask your questions. Thank you very much. I am passing it on to Tuzo. Yes. Can hear you very well. Great, so I'll be sharing the screen. Can you see my screen? Yes. Okay, great. I'll be sharing the training platform where this session will be using the MULLO and the Instances, the HS2 Instances, where you'll be able to to do those Instances for demonstration, following up with the demonstration and the other one will be used for the exercise. So to start the MULLO, I think you might also have been informed that you need to register yourself. In case if you haven't registered yourself, this is the kind of the procedure where you can easily get to MULLO by just assessing the link over the internet browser where we prefer to use, we recommend you to use IgboCo. You can just type the address back, the link that is in there, trailing.dhs2.org, and then you will be taken to the loading page. So in case if you have already created your own account, you don't need to get it again. You just need to supply the username and the passwords, and then you'll be taken into the MULLO. So in case that you haven't created your own account, this is the simplest procedure to perform. You just click this button, and then the login, the phone will appear and then you will be able to supply your personal information, but to make sure also you set the username and password, taking into consideration that other personal information like the first name, surname, city town, or the country, you don't forget to fill them. And then once you hit that new account, you will be able to send your email to your inbox. So, and then you will be, I thought that your email has been sent to your inbox. So that's to finish the registration and the MULLO, you just need to open your email. Make sure the email that you are opening is the one that you supplied when you are kind of creating an account in the MULLO. And then you will be able to see a link. So that link you are supposed to create, you have to click that link, and then you will be taking it back to MULLO. And being asked now to enroll at the particular course. And the course specifically that we are talking about in this session that will be training the tracker use in Africa. So you need to go to the site home and that MULLO. And then you will see like course categories where we have this level one academies. So within that level one academies, you will be able to see this course having this nice picture here. And then you need to click it to that tracker use level one in Africa. Once clicking it, you will have this like a setting I call that having a current. You need to just click that one and then I will be given a message or a button that I want to enroll to that particular course. So click that you know me in that course. And then you will be taken actually to another page where you will be given a message that you have successfully enrolled to that course. So that's pretty much is to do. So in the case that you have, you have to note this, but that particular course, please do it and then you will be able to kind of continue navigating or having other material training material using the MULLO. So please, if you feel that it's not happening to you, you can just drop a question and hoping all of you have already joined Slack. You can just tell us what is happening. So that's it from MULLO unless if somebody has a particular problem, you can just reach out to me through the Slack and I will be able to be there answering the question showing how to get yourself registered on MULLO. So I will actually use this MULLO assuming that all of you there will be no problem registering for your MULLO. I will just use my account to kind of log in to that MULLO and then try to navigate through the MULLO see how you can access the course and then log in the course and then be able to see other announcements that have been posted in MULLO. So you can just let me know if you can still be able to see my screen. Yes. I'm just assigning it to MULLO. So if you have done already if you have already have an account in MULLO, you just need to log in and then the course that I was talking about is this one called Track Level 1 for Africa to access the course of the contents that are in Track Level 1 Yes. I cannot bring it down to Samirana. Those who are not speaking you can just image yourself. So once you're done, you actually need to access the track course and then you will be able to actually find the content or the closing material that I have in that track. So be reminded that we'll be using MULLO for accessing and downloading all the materials that the facilitator will actually use in this session where we have already arranged those material according to the agenda that my first facilitator just elaborated it to you what will be the content of the day 1, day 2, day 3 and up to day 5. In the case that you missed that presentation you can still go to MULLO and then here you can see the link where you can be able to download your agenda so that you don't mix what was actually thought of the first day and what would be actually being facilitated in the second day and up to the last day. In the case again whatever any reason that you are getting stuck on creating your account in MULLO I will also share this procedure in MULLO so that those who have missed it they can just use those procedure to get to the account in MULLO. Make sure creating account in MULLO you just also need to unlock the particular pose. So if you are not unlocking the particular pose you might be missing some of the material. So make sure you go up to the end after unlocking the particular pose and then you can use the MULLO for Africa. Apart from that I think for MULLO that's it. I will just again thank you to how you can access those GHS2 platforms that we will be using for the for the whole session for this week and the specific for the trucker use so also if you have account in MULLO it's just a simple you don't need to memorize those links you can just come here to pose introduction and then you click this pose introduction link and then you will be taken to okay you will be taken to the page where you can be able to access those platforms and those platforms we have here it's called the MULLO DHS2 on the Slack channel so in case you have forgotten the DHS2 link you just need to come here click it here and then you will be able to see all of the of the instances for the MULLO I think the MULLO is quite simple you just need to click training.ghs2.org and then you have two instances that you will be using for the for the rest of this session and the one you see the DHS2 instance for the demo this will be for you to just follow up what the facilitators will be kind of navigating to you try to elaborate and especially explain what is actually being configured and then you have another link for the exercise so in case you have even an exercise this is the link that you will be supposed to go there and then attempt your question so in order to use the demo again you need to create also your own account for each of the of these two instances for example if I click here I will be taken to DHS2 instance can you still see my screen so you will be given this page where you will be supposed to create your own account make sure you create your own account by clicking this create an account like this one make sure you feel unnecessary information the name first name when the last the user name the password but you also need to be careful the prerequisite for the password requires minimum of 80 characters one digit and the one special character so make sure you get it right you put it for the confirmation in the password make sure also you put your email your phone number, your employer and then you need to check this one to make sure you are not a robot and then you pay your own account so I request all of you to kind navigate through the window before the end of this session and then create your own account so that for the rest of the coming session that you will be able to follow up everything that the facilitator will be demonstrating to you so in case you have any questions please you can just drop it to the Slack channel so that you will be able and happy to assist all of the instance the demo one and the exercise link you make sure that you have your own account in the case of problem please don't hesitate to communicate via Slack channel so before proceeding I think I will give you like 5 minutes or 10 minutes to make sure that you can be able to access the window and also be able to create your own account through those VHS2 platform that I just shared to you thank you let me if you have a problem I will be checking the Slack ok someone is asking how can you see the training instance first you need to to create your account in Mudo make sure you can be able to log in Mudo and then in not the to the specific course so after you are done with that you will be able to kind of be able to see the the training instance because you need to come to this course introduction here and then clicking here to course introduction you will see a link having Mudo, VHS2 and Slack channel so also clicking to this link you will be able to see all of the platform the Mudo and the VHS2 demonstration instance and the VHS2 exercise instance even in the Slack channel in case you don't have don't have a link to Slack channel so you can or maybe you have forgotten the link of the Slack channel so you will be able to get it there one is asking you have to create an account maybe to be specific which account you mean in Mudo account or VHS2 account to be precise in Mudo account actually you need to to access that link if we refer to this for the Mudo account the link has been provided I can just drop it over the Slack channel I just uploaded it to the Slack channel so that you can you can be able to see the link and also the procedure on how to get your account created in Mudo let me know if you still have a problem so I haven't seen any of the issues my assumption is that you are going well with creating an account on both in Mudo and the VHS2 instances for both demo and the exercise so if that's all I can just take you to use case or cause overview which exactly I will be using particularly on this tracker tracker use case so I stop sharing and share my screen again let me know if you can see my screen can you see my screen yes we can thank you and welcome once again I just done with taking you through on how you can create an account on this learning platform that will be used in this session Mudo and the VHS2 platform and you probably know how to and you have been using Slack for quite some time so now it's time that I take you through the use case that will be used particularly in this session so that when you have an account in VHS2 so you can just start using it or experiencing it and how it was being configured and how you can use it on the actually collecting data and use it for the analysis so the learning objective of this use case actually that you understand the COVID-19 digital package that has been created and then it has been used on countries where they are kind of setting up this COVID digital package to capture and analyze COVID related data and they were to find further information so you can just be able for example if you have been getting maybe a stack or don't know how it was being configured I can just give you the information where you can be able to see how those packages were being configured and how maybe some of the troubleshoot if there is a problem but another objective of this is that you understand the VHS2 model that will be used for this academy particularly on this COVID-19 digital package so actually for the COVID-19 VHS2 model specific digital package they were kind of configured to capture both aggregate and the tracker data where for the aggregate we had we had the daily reporting aggregate one and then you have this aligning list for example for those that they don't want to capture an event or to capture an aggregate they can just use an event to capture that one time event for example if a person has been tested or screened for the COVID-19 so they can capture those kind of information or they can be used for the for the ARAT something like that but also there was another package that was specifically configured for the entry screening and the follow up specifically for those who are coming in your country so that they can be screened for this COVID-19 and they probably found that they have a meeting with your standard COVID-19 definition they can be followed up when there are other measures being taken like a sample being taken to the lab for the testing and they can be given a result but also another one for the case-based survivors for those that who have made a standard case definition what is the procedure that they needed to undertake so that they get maybe treated well and get the correct result so that package included on the screening of the COVID-19 suspects also taking a sample providing results but also looking for the output for the outcome that the suspect may be being died or being hospitalized or being taken to ICU and things like that but apart from that because of COVID-19 to the pandemic so they had to kind of do the contact tracing to see if there is a suspect also find the person who they have come across to that suspect so that they stop the spreading of this pandemic disease but recently I think in most of the country they have been practicing vaccination so that's how now they have a package for vaccination registry how you can actually vaccinate using the digital tool starting from taking the personal information and also the vaccination but of course there are a lot of configurations that have been done and probably for those who are taking it for their country they are somehow being required to do some customization to fit there for the country needs but for this specifically we will be actually focusing on the case-based surveillance and the vaccination registry so what does it work in case-based surveillance as I said for example for those suspect cases those that has made a standard case definition actually the first thing is that they are being screened as a COVID-19 suspect so it's just depending on the situation of the patient that that person can be hospitalized or isolated or that might not be hospitalized being maybe required to stay home but also for those that that has been hospitalized or isolated they need to go medical treatment for example like checking out the situation and then taking the sample into the lab to confirm that they are COVID-19 but even if they are being performed as COVID-19 there will be multiple laboratory tests that need to be scaled out to make sure that they convert from positive to negative and then once they are being converted from positive to negative they can be released and then maybe going home or if they are being taken to ICU they can be also taken to the normal room for the daily check so the case-based surveillance just consists of those modules those sample stages that the person need to be screened after being screened they need to be taken a lab and then in this lab they have to be taken in multiple because they will be like checking if the person is positive to be positive and then being treated and then they wait and then they do the same until he or she is converted to negative but also if the person is confirmed to be COVID-19 another thing is just to do a contact tracing to know that the suspect how many people he was contacted to so another thing was to just to do a follow-up of those people that whom they were close to the suspect so that they also get screened and they found it to be positive so they can keep on going going in that way so even the person becomes positive maybe identified as the suspect case we also find another contact person who that person has come across to me so the chain keeps on that way until that chain is somehow not until that case is somehow at the end so after that you can see the detail of each stage for example for the enrollments or for the registration just taking the particular particular information of the person like the sexy, the date of birth the names and whatever and then any assessment or screening we just see if that person has any symptoms or was having any underlying condition that can lead to him maybe or her being hospitalized and then for the stage 2 those are the components testing for the COVID-19 taking the specimen and then requesting for the result so stage 3 once the sample has been taken being tested and then the result has to be feedback so that the suspect can be given any information that may be his COVID-19 positive or negative but again for this stage 3 these are repeatable because each time that they need to test they also need to take the same information so if you see this icon which means these 3 stages these 2 stages are repeatable that person the COVID-19 suspect has to undergo multiple results until he converted from positive to negative the last stage is stage 4 for the health outcome where there are those few options now that the person is recovered if he is not recovered which means the given time is over but the pandemic or the COVID-19 is still there so you need to go some other some other medical treatment also taking of the COVID-19 tests and then if the person is died then that will be the end of the story so if person proved that to be to be positive so that's where you have to contact tracing to know the number of people that was associated with that person who have been identified to have COVID-19 so this package actually was just doing that for the contact tracing actually it is the same thing so if that person found they need also to be screened know that he might be also being infected in the COVID-19 and then depending with the situation or the condition of that person can also be hospitalized or it can also be quarantined somewhere so that these medical attendants can just keep on following him or following her to know the progress of that person or for example in our country we use the mechanism where you just report your status to know if you are developing the COVID-19 symptoms or you are not developing that so that follow-up has to be done regularly and then until that person is being cleared that is not COVID-19 suspect so that's what so this contact tracing has to be linked with the suspect case because first you need to verify the suspect and then you find the associate of that suspect case so that's what we call the contact registration and the and the follow-up for the content of the contact tracing or contact registration the follow-up it has actually two stages after taking the person belonging in particular like date of birth and whatever other requirement that will be defined to suit your country we just need to make some assessment like screening of the contact person to see if that person is developing the COVID-19 case definition so if that is developing the COVID-19 case definition can turn into the case and then he or she will be enrolled to the case-based survivors program and then need to undergo all the procedure as we have seen earlier so for the COVID-19 vaccination package this was the package that was designed to capture information related to the person that is being vaccinated also the vaccination information so there are like one stage that is related to that person but before personally being vaccinated there are a couple of issues that medical attendants or NS that is vaccinating a person needs to check to know if that person has any underlying conditions before being vaccinated or to know if that person was being affected or affected with the COVID-19 within a given period that will be accepted for him not to be given a vaccine so that a medical attendant has also or NS has to check through giving a vaccine to the plant so this package was just a simple it doesn't have a lot of issues we just need to capture the content of the person that needs to be a vaccineist and then learn or check those pre-conditions that before giving a vaccine to the specific to the specific plant but also another issue that was added is to check if if that person maybe after being a vaccineist maybe develop an adverse effect following that immunization and so that can be reported to the package or program that actually capture those adverse effects so as you can see the stage vaccination stage is actually repeatable because we know that we have a couple of vaccines that's most of them which is for two doses except maybe those for the one dose like Jensen but the rest is for the two dose so after a person has been vaccinated the first dose there need to be some schedulers that will schedule that a particular person may be to return to the nearest facility to get another second dose or if found that that particular person need to be given another dose maybe like a booster dose so that schedule has to be there to kind of alert that particular client to come back for the second dose not only the schedule but also the notification you need to kind of alert a particular client that here you have been given the first dose so that maybe the second dose maybe is due or is near so you need to visit the nearest facility for the taking up your second dose so actually the content of this package as I said it's having the current information like the date of onset, the set of symptoms those case attributes is like the case ID, date of birth, the sex and having the date of birth you can generate the age you can also if you you are taking the other information personal information to know like whether is healthy workers or whatever those also can be part of the information and the stages as I said it's repeatable because most of the vaccine is two doses more than two doses so if a person has given the first dose you need also to inform him or to alert him or that the date for the second dose or the second or most of those something like that but in that stage another content that we can see there is that we need to check these underlying conditions if that client that who are coming to be vaccinated have those underlying conditions because I remember for example in your country that was one of the priority groups that those with underlying conditions they need to be vaccinated first and then we can look for other special groups so we need to check if the client that need to be vaccinated has underlying conditions but also the vaccination information like the name of the vaccine that you are giving a parcel and also the date maybe for the schedule for the next so simply these are the package that I will be in this session that we will be looking and most of the of the packages are relying on this package that I just provided a brief on how capturing data and how it was made to be done for the more information for the resources of this COVID-19 package you can actually get them through data link COVID-19 package but also for those who are familiar with the DHS2 community you can be able to go to that website you can be able to get the link that will take you through the COVID-19 package for the survivors for those who want to know how this COVID-19 package works they can just go to YouTube and they try to search and find this COVID-19 package on the DHS2 channel where we will be able to access all the configuration of the video that has been uploaded there including the COVID-19 survivors package how it is being used and how can we use that COVID-19 package to capture your requirements we just need some customization to fill your needs and also the COVID-19 vaccination package so that's it unless if you have a question you can just drop it over the Slack and then I can just provide some few minutes to just go through any questions that you might have asking for clarification okay I think we have a couple of questions on the Slack channel maybe if I could read them to you so that you could respond okay the first question is is it possible for two or more stages to occur at the same time for example stage one followed by two different stages at the same time is it possible for two or more stages to occur at the same time for example stage one stages at the same time like in a really time for example if somebody is being screening at the same time being taken a sample that is the concern because I'm trying to think here maybe close can we can we relate to answer the first question can you can you just say from the asking so that we can okay so the question yes thank you so for example let's say so after enrollment in the first stage for example they're asking for the sentence and then followed by that they ask for the lab request right so while they're sending the person to the lab they're also sending them to another stage such as therapy for example so we have lab request and therapy session for example can these two occur different stages at the same time yes so basically what you're saying the different stages are not really they are linked but they can be they can be created on the same day even multiple on the same day so that can happen as long as but even when it's a beautiful stage you could have unless you put limits on only having one event per day but you could have more events on it on the same day as long as it's repeated but in some cases you'll be talking about program rules that can prevent you from having two similar stages all events on the same day can happen it also looks like you are looking at entry happening by different people could you also write on what exactly do you want somebody to be entering this stage another person to be entering the other stage actually yes thank you you answered that my question was to have two different stages time for one person this person goes and takes lab request and goes to therapy at the same time so they are not they cannot happen unless you have program rules that are preventing some of these things from happening because we will see that some program rules behave in a way that they can prevent that but automatically it happens if you don't put any program rules thank you Prosphal we have another question is it possible for stages to be opened by multiple users at the same time for example two users logging in the same stage at the same time yeah but I'm just thinking what actually they be doing for example if they are entering the data of different people they are exposed yeah maybe just to add a little bit on that so it depends on what you are thinking about so every time you create an event it creates a unique identifier for that event so if Aditya opens on his formula for this particular patient or client she opens that stage and creates a record an event it's going to be created with a different unique identifier so it does the same and I do the same so at the end of the day you will find that this client or patient has three events one created by Aditya and Myseref and then also if it's a repeatable stage but if it's a non-repeatable you will have only one record which will be the last event that will be submitted by all of us so if Aditya went in and entered her data and finished and then Tuzo came and created from another device and this will happen mostly in Android because for the web and the real time synchronization you will find that this will not be allowed but if you are on Android and you are offline it will allow it to be able to create other stages for a single a non-repeatable stage but if you are online you will be able to see what Aditya has as an example but when it comes to the Android offline and you meet the point of synchronization the last report is what is going to be updated to be the the last event from that non-repeatable stage over. Thank you, let's go for the last question is it I mean, trucker program is it something to be used real time point of care while doing consultation in front of a patient or it is something to be used after the consultation complete? Oh yes, yeah, thank you for that question and I think you're looking at trucker being used as an EMR and point of care kind of system yeah so there are different ways you can be able to implement your trucker you can be able to implement it as a data capture tool so meaning that everything will be collected on paper offline and then turned into data entry so that kind of use case is supported but it also supports the flow the workflow as the previous question was shared it supports some kind of workflow that you know I start from the receiving point I go to the medical room for consultation I go to the lab and get my lab tested and so on so if that is online if you sit up that kind of online like everybody is connected real time within that kind of clean environment the person who does the registration and does the bio information collection will save and save online when it comes to the clinician the clinician is such online for that particular client or patient and they will be able to offer their service then they go to the lab so you could be able to set it up in that but you have to be online like the whole clinic has to be connected that you are all syncing to the server real time so that the other person can be able to pick it from the lab. Thank you. Do we have another question? Yes I have additional question to that you are saying that we can do the EMR style if the system is online so if we use Android and offline we cannot do it as a point of care at the same time in parallel You can be able to do it and I think this is an example and experience we had with one of our implementation in Botswana where you go in the field and they have different tablets so one is doing the weighing it's a nutrition program where you monitor the child on a monthly basis so if you happen to be in a situation where we are all going to be using Android devices you can be able to do it and the only catch is that once I have finished doing my work I need to synchronize I may be offline but I need to synchronize so that the other person can synchronize and retrieve the record and be able to add on the information and we are going to see this when we are doing data entry in terms of how the Android does it in terms of pushing the record so that the other person can be able to pick it so it can be the same environment synchronize it to the server and then the other person also have to download it from the server and be able to do it it doesn't take that much time as we are trying to as you hear it it's just small things that we have to be able to ensure that the records are synchronized with the server to be able to retrieve it by the next stage over sorry so if there is no internet connection the next provider won't be able to see the weight encoded by the previous provider it won't be able to see unless you pass on the tablets to him physically that would be the only way he can be able to see it but he is also sharing the records offline we may be able to see that in the Android entry you can be able to synchronize with the QR code between the two tablets so that you can be able to push it from your tablet to the other thing without connecting to the internet over thank you thank you very much for your question and for your response that's the end of this presentation just to pass to my colleague just to proceed what is the agenda thank you and welcome Adilya thank you very much Tuzo I think we can take a 5 minutes break stretch ourselves and come back at 10 10 first so we are running a little bit late but we need to finish the last session in the day just to allow people have a brain break coffee or use the washrooms let's take some time please don't look out just leave it on and just stretch a little bit 5 minutes we are going to be able to start at exactly 10 minutes now 11 minutes now on past 16 hours it's African time so just see you in the next like 4 minutes please go away, stay tuned for the last session of the day yes so it is exactly 16-11 when we promise would be back I hope you have had enough stretching if not you can stand keep standing in the next session so we are going to have two sessions they are really short sessions and if we think we will still have our minister of health official coming just say if you want as we end our day so I will hand it over now to Alija also Alice are you there let's start with Alice's short session do you hear me on Slack so I hope everybody is back please if you are far from your computer please get back to the the room the Zoom room and also your room so that we can be able to continue so we are going to have a session a short session around Slack so Slack is one of the tools and the application we are going to have the use now and even moving forward as we do after training so Alice will do as the the owners of the sharing around Slack so Alice take it over and you can never share your screen and you can see your nice face thank you thank you Frosper hi everyone thank you all here for this Trucker Use Academy it's my pleasure so it's going to be very quick but the first thing that I would like to mention is that I posted in the chat a link to the Slack workspace this is the Slack dedicated to the Trucker Use Academy so if you have not yet joined Slack the only thing that you need to do basically is click on this link and you can join the Academy Slack so here you can see my screen so I wanted to show you briefly what you can expect with the the Academy Slack you will see that here you have different channels you have three channels these are the main channels that we will be using during the Academy if for some reasons you do not see them the only thing that you have to do then is to click here on the dots and then you will be able to browse all the channels included in the in the Slack workspace so and then you will have the opportunity to join all the channels that you want to join but it's only if obviously you do not see them but for this Slack we have three channels the first channel is Announcements channel so this is where you will have all the information related to the Academy for instance as you may have noticed this Academy is recorded so every day two, three hours after the end of the Academy we are posting the recording on the DHIS2 YouTube channel so as soon as it is done we will inform you by writing on the Announcement channel so this is a very important channel the other thing that I would like to add is that you cannot write directly as a participant into the channel but if for instance you see a post you are interested in and you want for instance to have more information what you can do is reply as a thread the only thing that you have to do is go on the post and then click here and you will be able to write directly there but you will not be able to write a message on the Announcement channel directly and then you have the channel introduce yourself to say a few words to all the participants I can see that some of you have already started doing it which is great and then the final channel which is the Questions channel so basically if you have any questions related to the presentations or if you need some help with the exercises or something like that you can write it here so it's really important when it comes to if you want to ask an information related to the content that you write it here instead of for instance reaching out directly to the facilitators by sending a direct message because you never know if you never know the facilitators are very busy so if you want to make sure that you get an answer to your question I would advise that you do not use the direct message option but you can write directly your question here in the Questions channel and you will be you will be sure that you will have someone one of the facilitator who will reply to you so yes I think that's it really yeah that's it thank you for listening thank you very much Aris you're welcome very short and very precise we're going to be able to join today and we can have more interactions even after this training so yeah please take your time and make sure that you have been able to register into the Slack channel because it's going to be very helpful and please as you submit your questions be as expressed as enough and give more examples so that we can be able since we're not able to talk to you and understand your question and you will see most times we will have to repeat the question and say this is how we understand your question and then answer it that way but just be able to be a little bit elaborate and give some examples Aris also shared with you but you can be able to attach some screenshots and pictures and even files so that we can be able to read and give you good information just one thing that I forgot to add is that obviously when you're asking your question into the questions channel and if you want to ask for instance the question to prosper you can tag him by using at and then prosper so that he can get a notification that he has been tagged into the channel questions which is also very useful that's it thank you thank you very much Aris we will see more questions there if we get everybody in so let's take it on to the next session which is going to be led by Hadidya and this basically is going to really give us an introduction of some of the terminologies and the and the DHS of vocabulary along with the DHS of vocabulary that we will be using in this training so it's also very important that we pay extra attention to this because once we move out of the day you will be hearing things like fact, entity, fact instance and all that so Hadidya welcome thank you Prospa hi everyone once again and I hope you can see my screen so as Prospa mentioned this session is going to be specifically looking at the tracker terminologies and the tracker data model itself so the learning objectives first of all we want to understand what does it mean by tracker data model how is it related to DHS2 and of course look at the what are the terms and concepts that are related to DHS2 tracker data models and of course look at the generic flow of information within any of the tracker use case and lastly we're going to look at how are different components within the DHS2 tracker data model linked to one another so if you had listened too so very well at some point he had mentioned of the data model so DHS2 supports two kind of data model one is tracker data model but also we have the aggregate data model so for this session we've been focusing more on data tracker data model and first of all when you speak of the tracker data model this is the part of the DHS2 that is fixed and cannot be modified it's more less of a framework or I could use an example of let's say a house you have designed and built your house that this particular part is going to be the living room and the other part is going to be the kitchen so once you have that set it designed and well structured what comes in in the living room or in the kitchen will depend upon your needs and requirements so this is more less to the tracker model we have a model well structured and organized but how you tailor it to suit your context will depend on your requirements if we could recall back to the the first webinar on the tracker use cases we could see very well that it's the same model tracker data model but was used differently in different sectors we had a look on COVID use case but also had an opportunity to look at the TB and lepros use case as well as a use case in the agriculture part so the key message here is that we have the part of the system that is fixed in terms of the framework but moving forward you could use and restructure it depending on your needs so what comes in to define your use case is what we call as metadata and we have a couple of metadata that comes into that to mold your use case and that could be organization unit that elements indicators or the program entity and many more so how you define your use case or your system to look like will always be looking at how you structure the organization unit the data elements the indicators as well as the programs so when we look specifically to the tracker data model and the tracker metadata itself we have a couple of terminologies that we're going to be using throughout this academy and of course it's very important that we understand exactly what it means by each term that will be mentioned so as the name of the model itself it's tracker data model so basically it's tracking and monitoring something and by tracking and monitoring something first of all you need to identify what exactly what is that thing that you're tracking and once you know that okay I'm tracking this particular thing now it's when you get to define again what are you tracking to that particular item so all these terminologies in conceptualized to fit in the context of tracker in terms of tracked entity we have tracked entity attribute but we also have the tracked entity instance and all these three terminologies are more or less as the part of the tracker program registration so I would start by the first item which is tracked entity what does it mean when I say a tracked entity so a tracked entity it's an object that is being tracked so it could be a person or it could be a commodity or anything that you want to track or even a health facility it depends on what you're wishing to track or monitor around so once you're clear that okay I'm tracking this I'm tracking people then you need to identify those people who are tracking and this is where it comes in the tracked entity attributes so these are what defines the tracked entity or more or less give out the characteristics of the tracked entity so when we look at the tracked entity attributes for instance you're tracking a person it could be a name a date of birth sex so basically it's just to be able to identify the item or the object that you're tracking and when you speak of the tracked entity instance now this is already part of the tracked entity and tracked entity attribute let's say for example we have a COVID case based surveillance program which is tracking all the suspects of COVID so when we're looking at let's say it's Hadidia Hadidia is a name and it's part of the tracked entity attribute but also once you look at the entire program all the people that fall under that particular case based surveillance those are what we call the tracked entity instance so that covers the identification or the registration or less the enrollment part of when we're looking at the tracker data model but once you have all those in place specifically tracking this particular person then what are you now tracking now this is where it comes in the whole concept of program stages events so if we could recap back to the use cases that Tuzo just walked us through at some point he had mentioned of the program case based surveillance program or the immunization program so with tracker first of all the very first thing to be done is to identify the program the program is more less we could term it as a container where you try to mobilize all the information that you'll be looking specifically for that particular let's say tracker system let's say case based surveillance that is a specific COVID-19 case based program that is tracking all the individuals who are COVID-19 suspects once we define the program within the program it's when now you get to identify the individuals that are going to be tracked in that particular program and of course what exactly are you going to track for that program so when it comes to the part of what exactly are you going to track for that particular program this is the concept of program stage so program stage is more less the service related data or the routine data that are used to monitor whatever that you're tracking and we have what we call the event so the event is part of the program stage I understand let's say COVID-19 case based surveillance program we have a program stage on symptoms program stage also on lab requests results and outcome so all those are what we call the program stage but within the program stage we have the event this is more less looking at exactly what particular information came in at what particular time so let's say today you report Hadidya has so and so and so symptoms under the program stage that is looking at the symptoms for the COVID-19 so whatever that is registered under that particular program stage is what is referred as event so it's an information attached to a program stage that is giving you more information about that particular information services or any of information that has been tracked but we also have the data element so the event is a collection of data elements that are used specifically to track or tell you what exactly are you tracking and with tracker data with tracker data we have to make sure that all the data elements are termed as tracker domain why because tracker I mean DHS tool supports two types of data model we have the aggregate part but we have also the tracker part so just by misconception let's say you're working for the tracker model but here to define the data element as aggregate that means the system will understand that this particular data element is specifically for the aggregate model so once when you come to the tracker you won't be able to find that data element so this is something very key especially for those who will be doing the configuration part of the tracker use cases but again we have what we call the option set option set these are not they cannot stand on their own but rather they are attached to either tracked entity attribute or to a data element and they are more used in terms of if you want to present predefined answers whatever information that you're tracking let's say I'm tracking sex but under sex I want people to respond to either feeling female or male so you can be able to define that in the system and once people are feeling in the information then don't be presented to those options the connection of those options is what is called the option set I mean the options so if you have sex it's more less of an option set but female and male those are the options to the option set so in summary I would say all the tracked entity tracked entity attributes as well as tracked entity instance those are the tracker registration part of the tracker use cases and the program and the rest are part of the information that are collected in terms of services or any of the routine data so I think I've spoken a lot about this tracked entity attributes is what is used for registration on the profile part to specifically identify or characterize what are you tracking and tracked entity it's more less of an object that is being tracked as I said it could be a person a commodity or a village or a lab sample whatever it depends and tracked entity instance refers to a single tracked entity that has been registered in the system as I said if you look at a list of people who are being immunized for COVID-19 all that list of people is what is behind us the tracked entity instance but I also spoke of the program smaller could be measured as a sequence of events that an entity can go through or a frame as I said or a container where within it is when you get to structure and customize the information that you're looking for to track as well as the program stage and speaking of the program stage it could be a repeatable stage or non-repeatable stage so by speaking of repeatable stage that means it's something that it can happen over and over and over again but when you're speaking of a non-repeatable that means it's a one of one sort of event it won't be able to happen in multiple times so the events again these are the program stages consist of one or more events as I said for instance if it's a repeatable program stage that means you're able to have more than one event for instance maybe if you could take an example of this academy if we were to sort of track the participation to the academy that means we're monitoring Hadidia for all the five days of the academy if at all she has attended all the five days so today would have been our first event on 15th of November then tomorrow would have been the second event all the way to the final day of the academy so some other terminologies that could also be used we have something called as incident date this is the date that triggers the first event for example COVID-19 symptoms I've been COVID-19 case based surveillance program we have a program stage on COVID-19 symptoms so the date that one was registered to have any symptoms that is what is referred to as the incident date but we also have the enrollment date if we can recall any track-up program one must be enrolled to the program one must be included to that container that is used to track something so the process of including someone or a commodity that is being tracked to that particular container is the enrollment or the registration part then the moment that person has been registered the system itself captures the enrollment date the date that person was registered to the program so we also looked at the data element with the domain types remember we said since we are dealing with trucker the domain type should always be trucker and not aggregate because once you happen to tell the system that this data element is aggregate then that means the system will understand that this particular data element is supposed to be using aggregate data model not the trucker data program and of course the options said as I said these are specifically used to sort of give predefined answer options whatever that you are tracking and they could be attached to a tracked entity attribute or to a data element so we can see here that we have smallest of a summary where we have the tracked entity instance registered it has the attributes and whatever these tracked entity instance and their attributes can be attached now or enrolled to a certain program and once they are part of the program then it's when you are able now to monitor the information for each specific program since you could have enrolled people to the maternal health program but moving forward you could be tracking the A and C the delivery or the post-natal part of it as well so before I proceed I would like us to go to the DHS2 instance and see how the use case that we will be using throughout this academy has been structured and see all this concept of tracked entity attribute as well as the program stages so remember we said before you start tracking anything that has to be tracked it has to be defined in a specific container for it to be tracked that is what is called the program so every program with respect to DHS2 fundamental or basic concepts has to also be attached to a very specific geographical or administrative hierarchy with the essence that once you are looking for a particular person you have to know that this particular person is coming from which location so I won't focus much on how to go about all this because this is going to be covered tomorrow on how to capture tracker data I will just go right away to show you under the COVID-19 case based surveillance program what are the entity attributes what are the entity instances and of course which are the program stages and events so under this location once I have selected the COVID-19 case based surveillance program you could see a very long list of individuals so all these are the members of people that have been enrolled to the COVID-19 case based surveillance program so to be able to visualize all these tracked entity attributes and program stages we need to specifically go to one person let's say I'll open up Matthew remember we said tracked entity attributes and all the tracked entity instance they are part of the registration or the enrollment to the program so once you open up a specific person or a specific tracked entity instance within it you'll find a couple of items we have the enrollment part we have the profile part but we also have this other part here so all the tracked entity attributes are part of the profile of the registration or the enrollment and we could see we have a couple of them like name surname date of birth, age, sex and so many others so all these are what we call the tracked entity attributes and they are specifically used to define the tracked entity instance so once this profile is being filled and you submit then automatically the system will pick up and show you what is the registration location for this particular person which is Matthew but also the enrollment date so from this you could see that this person was enrolled to the program on the 30th of September 2021 but what happens what comes next now the fact that we have Matthew in the program so what comes is that now we need to track down Matthew in terms of what are the symptoms and diagnosis done to him in terms of COVID but also we are looking at the lab requests that exactly was captured under that but also the lab results and all the way to the health outcome so all these written information are what we address them as program stages but once I open up these program stages let's say I'm opening up the first stage which is on clinical examination and diagnosis what will appear here this is the event now to a particular clinical examination and diagnosis and you could tell right away that this event was done on this particular date but under the program stages we say this is where now we track exactly what is happening with that particular person so with reference to this COVID-19 case-based surveillance for clinical examination and diagnosis that means we are looking at all the symptoms all the reported symptoms that might have occurred or reported by Matthew so yeah we have so many information here and this is it's a read so once this information has been submitted then this is what we call the event but we also saw on the option I mean before we get in the option we also saw the data elements so data elements are what build up the program stage so we are tracking the clinical examination and diagnosis information but under it we are specifically looking on signs and symptoms present so whatever that is capturing the signs and symptoms present this is what we refer to as data element but again on these symptoms I mean the program has also given you the specific predefined answers to this particular symptoms or signs present and those are what we call the options which is yes, no or unknown so from the entry part you will not be able to see the option set but rather the options just the proposed answer to that particular data element but if you go to the data elements this is where you will be able to see the option set because it gets to be assigned to a data element remember it's not just a data element it can also be assigned to a trapped entity attribute because the purpose of using the option set is to just give proposed answer options to the user so that that person cannot be able to enter whatever he or she wants to enter so it's more or less to restrict what are the expected answers to a particular information so yeah this is where you can see this option set but as I said on the entry part you'll only be able to visualize the options rather than the option sets so in summary I would like us to look at this simple diagram just to see what goes where with reference to COVID-19 case bed surveillance program so we spoke of the trapped entity attributes and those are what defines and those are what defines the characteristics of the trapped entity instance so under the trapped entity attributes there goes in names of course gender and so many other but just for summary here we have first name, last name and of course sets we looked at the trapped entity which we say now this is the exact object that is being trapped and this time around it's a person but also the enrollment this is the registration part of making sure that this particular person is registered into the COVID-19 case bed surveillance program and the program itself is here COVID-19 surveillance program and under this program we are we are actually tracking the clinical examination where we are looking at the symptoms and signs but also the lab requests where we take all the samples and sending them to the lab but also we have the lab results where we are specifically looking at what are the outcomes of the lab requests that were requested and lastly the outcome as a program stage where it's monitoring now the results of that particular COVID-19 suspect so whether that person whatever that came out where it could be he died or recovered so it depends and all that information is enabled under the event so once you have the program stage then what comes in is the event where you get to track the exact information that is supposed to be tracked under each program stage so we say the event is a collection of data elements so all the data elements that we have collectively make up a certain event which is also again linked back to program stage and all these data elements could be attached to option sets as we saw and the purpose of having these option sets is to enhance the predefined answers to that particular data element like here we have type of tests the options on what type of tests can be conducted for COVID-19 which could be PCR NART or serial which the last part could be the tracker programs some of other tracker programs that are possible to be useful for instance you could track a pregnant woman and under that particular program you could be looking throughout the antinatal care the delivery all the way to postnatal care but also you could also be tracking a child once the child was born and you could be tracking that particular child in case of the immunization services that are supposed to be provided to that particular child but also you could have another program which could be looking at the patients HIV patients in terms of receiving their ART treatment as well as TB patients since they are diagnosed for TB receiving their treatment all the way to the outcome if at all the keyword or not as well as disease surveillance and malaria case investigation so that marks the end of this session if there are any questions drop them in the Slack channel you see we have we remain with 9 minutes so we have 9 minutes before we start the questions I would like to share a word of the day so that we can fill out the attendance so that's the word of the day so I assume we have all been able to register into Mudo so go to attendance under the attendance part open up the attendance for day 1 and submit this as the word of the day I've also shared it on the chat box excuse me for this attendance so we just click mark as done or where do I type one minute I'll demonstrate how you can submit the word of the day okay so once you're logged into Mudo make sure you have selected the truck I used the one online Africa then we have a tab for attendance once you click that it will open up and make sure that you select day 1 so open day 1 so you find a place written attempt quiz so click that button attempt quiz then word of the day submit the word of the day once you're done click finish attempt


What's going on everybody, welcome back to another video. Today, we are gonna be taking a look at the IBM Data Analyst Professional Certificate on Coursera. Now this course is one that I get asked about a lot. Is it worth taking, how much does it cost? Is it something that will help me land an entry level job and should I be putting this certificate on my resume? All of these questions will be answered throughout the video and let's not waste any more time. Let's jump over to my screen and start looking at the course. So this is what the course will look like on your screen and if you notice at the very top, I was able to beg and plead and get 25% off your first month's purchase. It only lasts until 2.15 of 2021. So as of today when this is airing, it'll last for about two and a half more weeks. So if you want to redeem that, there is a link in the description. I tried to get it for free but apparently that's not good business. So I did what I could. So I hope that if you really wanted to take this, you can take it and get a little bit of a discount and that's just me trying to help you guys out. Within this professional certificate, there are actually eight courses and so I'm gonna run through those very quickly and then afterwards I'm gonna go into a few of these courses and show you how you actually learn within them. The first course is introduction to data analytics and that's just gonna give you a high level overview of what a data analyst does and some of the tools that they use. The second course is Excel Basics for Data Analysis. The next course is data visualization and dashboards with Excel and Cognos. The next course is Python for Data Science and AI. Next course is databases and SQL for Data Science. The next one is data analysis with Python. The next one is data visualization with Python and then the very last one is IBM Data Analyst Capstone Project. I'm gonna take us back up to the second course which is the Excel Basics for Data Analysis. We're gonna open this course up and see some of the things that you learn as well as how they structure the learning within this course. So when you come to this page it's its own individual course. So now we can click go to course and it's gonna take us to the actual work. So when you open up your course this is what you will see and so you have weeks one through five that's all the work that we will be doing to finish this course. Then we have our grades, notes and discussion forums and then there's messages and course info which you probably really won't use. So if we scroll down we can actually see what we're gonna be doing within each week. This very first week we're gonna be doing introduction to data analysis using spreadsheets and right here is gonna show us how we're actually gonna be learning this topic. The first 26 minutes is videos. There's 10 minutes of reading, 10 minutes of practice exercises and 15 minutes of other. At the very end you also have a quiz. So let's pull up this quiz really quick and see kind of what a quiz looks like. So we do need to make a 70% or higher to pass this quiz and you get three attempts every eight hours. So it's basically unlimited attempts. So let's look at what this quiz looks like. It looks like it's only three questions and I'm sure that these questions are related to some of the readings or videos that were earlier on when we actually were doing the studying. And then at the end you have to sign that you weren't cheating and then you can submit your work. And that's basically how each week is gonna work. You're gonna go through the videos, you're gonna go through the reading or anything else that they have and at the very end take the quizzes and if you pass the quizzes you move on to the next week. Now at the very end of each course you have a peer graded assignment. And a peer graded assignment is exactly what it sounds like. They're gonna give you an assignment. They're gonna give you specific instructions.  So this is what it looks like when I open up the assignment and it's actually part one of two. And so this first one is cleaning and preparing the data. The second one is actually analyzing the data. So in this first one it looks like right here I need to download this data set and then down here it gives me very specific instructions on what I need to do with the data set that I download. In part two of this assignment it really just looks like we are using pivot tables. And so it gives you again very specific instructions on how to create these pivot tables and what you're looking for. I have actually submitted this assignment for peer review and I did this because I wanted to kind of test and see if people actually took this peer review seriously. So I submitted basically blank documents. I'm gonna show them right now. This is what the first Excel that I submitted had and this is what the other Excel had. And in my review I basically got three out of 28 points and failed miserably and I felt a lot more comfortable that people were actually taking the time to look through your work and make sure that you had done what you were supposed to do. Now there are lots of courses that we could go more in depth into like databases and SQL for data science as well as data analysis with Python. But I feel like you can kind of get a general sense of what you're gonna learn in those courses. I wanna go to one that I think a lot of people have questions on which is the capstone project at the very end. The capstone project has six weeks total going through data collection, data wrangling, exploratory data analysis, data visualization, building a dashboard and then you have your final assignment. Now all those weeks leading up to five and six are not actually your capstone project. They're mostly just quizzes to make sure that you know the information and then five and six are the actual project itself. And for the actual capstone project I thought it was gonna be a little bit bigger involving a little bit more Python and SQL and creating dashboards. But really all you're gonna be doing is building a dashboard and then creating a PowerPoint presentation and that's really it. And so if you were worried that this capstone project was gonna be too difficult for you I assure you that you can handle it. There are a lot of really good courses in this professional certificate and I feel like they hit a lot of the big skills that you need to know like SQL, Python and Excel. I don't think any of these courses go super advanced. And so if you were just a beginner and you want to learn and start understanding a lot of these skills this is a really good course or professional certificate to start out with. Now how much does this cost? The cost is $40 per month. And so however long it takes you to complete this professional certificate is how much it's gonna cost. So if it takes you five months that's about $200. Now speaking for myself and myself only I have been known to just fly through courses. I do all the reading, all the videos and just do hours and hours on end to complete these as fast as I possibly can so that I save money. And so I think that if you really focus you could probably complete this in two months especially if you have a lot of time on your hands. Do I think that this professional certificate is worth getting? Yes I do. I think it hits on a lot of the really good topics and skills that a lot of data analysts need to know. And I do think that you can add this to your resume specifically for people who are trying to get internships or right out of college or people who are trying to change careers to get a job in data analytics. I think that this is something that I would add to my resume. This type of professional certificate is a good way to show that you are investing your time into learning the skills required to become a data analyst. So I do think that if you don't have any experience that certifications and certificates are a good thing to put on your resume. I do hope that this was a good overview and that it helped you decide whether you wanted to take it or not. Thank you guys so much for watching. I really appreciate it. If you wanna support the channel be sure to like and subscribe below and I'll see you in the next video. Thank you.