We have received a response from the community and we are currently using it. 20-30 countries are using it. Many countries are using it. The IHC platform for the implementation of their system. And we are currently seeing how to implement innovations in our community. And we are currently sharing the information with you today. Luganda has been using the IHC-2 system for a long time. And we are currently sharing it through mobile messaging and integrating surveillance systems for patients. And we are also using it to provide information. So welcome. The floor is yours. Are you okay now? Okay. Do we have a lot of patience? Thank you very much. Good evening. Good evening to each of us. I am answering questions based on the IHC-2 project. For ISP Luganda. She has been talking about surveillance, and the basis of the IHC-2 project. And the management of the river in Luganda. There is no next. She has been developing on the basis of the IHC-2 project. On the IHC-2 project. The name of the IHC-2 project. We are currently encouraging the use of electronic systems. So our implementation is based on the technical direction. There are diseases that are transmitted. When the patient enters, electronic systems are decided to use the SMS platform, which works with the Asians and the IHC-2. So the integration of the two forms allows us to do a quick relay of the information in terms of the events that are identified in the community. and especially to evaluate the potential risks linked to health and the national and the level of restrictions. Also, the relationship on the level of communities concerns all the events that are in need of a national response. So, in terms of facilities, the relationship is immediate. In other words, we are looking at the data that have been transferred from RASAN to MADER. We use the same platform of messaging, also integrated into the national system of the HLS, which is on this platform. Next slide. The access port to the HMIS system has been configured to receive the alert system with the platform in 607, which allows us to register the users and also send anonymous messages to the system. So, by using the Ministry of Health of Glubanda to inform us of what is happening in their community, this has been configured to give a response to the people who send us alerts, so that we can see it in the positive environment, following people who receive it. Also, the same platform has been set up in the community. The HMIS is a platform that allows us to see a response to the community. Another level of action is that we have a health care system, and an agent that has been trained to send messages with the local system in 707. This has been received by the Public Health Management System, the Ministry of Health, who verified the SMS alert, which also prepares a team of responses that must be able to see the necessary response to the community. At the top, this has been registered for an event in which they also prepare a response at the level of the national health care system. That's also how this can be done at the level of the health care system. This is done in the case that we put in place the national health care system to be able to manage this. This is what I'm trying to do. By using any card that has been registered in Uganda, in a video, so that I can send a message to the community, by saying what they see, by describing what they see, and by saying the location, that is, the district, the district where they are, this has been sent to the system. In the national health care system, there is a management system, the state of the public health care system. We also have a call call to the team, by saying the call call to the person who has been sent. But it happened with the management of a number of numbers. We also tried to see this alert by calling, and before checking, before sending a team, we were going to do an investigation more advanced on the ground. This investigation, once it was checked, and the investigation now is sent, by e-mail, by SMS, to a program that is in charge of the management, of the health care system, to send to the quick response team, at the level of the national health care system, to be able to do investigations, and from there, instead, before the responses, that is, the responses that were sent to the person who sent the message. To make sure that the message was received, there is a team that is working on a particular state of verification, the next step. We are going to try to work on this since 2013. In 2019, we are going to try to avoid the situation we have. I think it's on the sixth step, we don't even know if there is a mistake. Before deciding to see how to engage people, at the level of the district, and to share with the people that we have had, because the messages are sent directly to the ministry, without being engaged, without always being engaged, a team of district officials, who have been sent. Here are some of the questions. There was not a response prompt, because there were a lot of messages coming, so there was not a team always, instead of being able to respond quickly, also the analysis was different, the alertness of the events that were coming, it was not always the same, because there was not an effective number, because as you can see well, I would say that the message was not always well-made when they were sent, so you have to confirm before trying to verify. At some point, there was a late response, and this has demotivated me a lot, I am sure, and recently, we had a small change in the service, there was a little delay in the response. People think that the message was not well-made, where it had to go, it was also a really poor documentation, rumors, people did not record, people did not really know what to record, or record the alerts that had rumors, the ability to analyze the rumors and the events in the end of the account, in the end of the day, people have received a lot of messages, they have been able to connect to the disease, and so on. There is no special mechanism to respond to rumors that come through our social media, we have a lot of our social media, and we hope that some rumors will also come through social media. So, the question of putting in place the solution to meet the needs of the community, the biggest challenge was how can we involve the team in the verification process, how can we manage the conditions in the community before going to a higher level, before going to a higher level, and I do not like the minister, I do not want to be asked questions, what is happening in my community, I want to be more informed, I do not want to deal with these policies. The work implies that they work in terms of health care, and we see clearly messages, clearly the localization, management system, and HIS through the messageries, we use this application, so the management system, the agency receives, it is obtained as a message there, it is transferred to different district, and it is now the district that has to verify these signals, in order to fill in the electronic formula, and under the electronic formula, it is there to explain the different verification processes if they have been verified, if the alert is really verified, or if it is a false alert, and the district team will now put in place a team of investigations to go further into the investigation. Next, next slide. Thank you. Before developing an application, it is put in place, that is, a management application of a message, and this allows us to do an analysis of the given messages, this allows us to know if the message is received, so the message that has been sent to the verification, and status, verification and other, it is also possible to put in place an electronic system that allows us to integrate the program in HMIS, also this electronic system can be managed at the level of district and national level, so if we go into the process of verification, the national team is able to check this at the level of district surveillance. While some activities can take more time than at the level of verification. So we see the board table, we have the total number of received messages, we have the total number of alerts, we also see how the information system looks like that we received the next message. On the basis of districts, we can also transmit notifications at different levels. On the level of districts, we can see the notifications that have been sent and see if it really is a notification on the level of district surveillance. We also have to go to the superior level and make a happy face of the events, that is to say, at the level of verification that they get from the community. So if it is the big ones that use the program, the kind of program that you use to verify, you can also see the status of the message, the site, the date of the follow-up message, you can see the information that has been sent or not. So in this case, there is a recommended update. Next slide. At the end of the day, it has a complete formula. So there is a formula for our electronic price that is set up. So we can be able to determine the status of what is happening in the community, to be able to make a decision. In short, it is necessary to involve the district team in the verification time. We also have to be able to see a response in time. It is not necessary that there is a delay in the distribution of information. We also have to be able to figure out the progress of the verification of the events at the national level, at the district level. We are not able to be able to connect to the alerts and now analyze the different alerts at all levels that have been improved in the system. So this presentation can be done with the application that is outside of the application, with the THS2 tools. So the challenges we had to face during the implementation was that I think that you are still in this dynamic and that there are not the answers that come often in time, at all levels. So we really need to use it. The review of the messages is also an example of how I mentioned it. The messages, the alerts, lack of structure at the moment, lack of people and lack of the revision of the messages. So there are late responses that come and the messages are not related to the ability of the network or the saturation of the network. There is also a lack of documentation that is suitable for the suspicion of cases and signs at the level of the system of health. There has been a lack of documentation. We have not been able to verify at all levels authenticity, accuracy, information, also the limited use of data at all levels, at several levels especially since we are now able to analyze how the events come in time, how it comes from an institutional category. Also, the social media continues to have a problem but with the application we are able to see how we can add alerts that do not necessarily come from messages that can come from other channels when we try to collect all these information. One of the challenges that we have in implementation is also the barrier of language. The people we meet can also speak English but they do not know how to write the language in that context. At the level of Uganda, we have a lot of languages so we do not send messages in their local language so people can not understand the language in their local language. There is also the barrier at the level of the language that can cause a problem. Thank you very much. Thank you very much, Rebecca. Thank you very much for this example of Uganda and I am honored for the technical difficulties that we have. It has been a very good presentation that we can download on the SKEI platform. So I will welcome the next interview that comes from John Hopkins who will talk to us about some projects. I had a very good summary that I found very inspiring when I read it which talks about how did the different partners decide to use the metadata system to make the information available. So here is what they did to be able to fight the bad information and the bad information that people had regarding COVID-19. I hope you can listen to me and see the diapos. Rebecca, you will also help the diapo and see the time for me. So my colleague helped me to set up the system. He is in Côte d'Ivoire. He is in the office of ISP in Côte d'Ivoire. He will present the Francophone team. So now the CCP is working with the Institute of Hopkins, which is for communication programs. Their goal is to help the appropriate partners in communication so that we can help the communities in the world to be able to overcome certain difficulties. So in terms of health, disease, HIV, I have the habit of studying with HIV, but there is also the health problem in the world. So the DHSC, as you can see on the screen, works to reinforce the capacity of the states to be able to easily detect and prevent infectious diseases. And it also allows to develop the capacity of appropriate responses to diseases. So as we saw with Ebola, COVID-19, and other cases of disease, the epidemic has become directly uncontrollable. So this is what we are trying to avoid through communication. So the risk communication is very important for evaluation near the WHO. As you can see, there have been approaches that have been integrated in communication with ease communication to be able to update and have appropriate behaviors to be able to respond efficiently to different partners and to discuss with the partners with different channels, to invite communities and to be able to identify the information about the rumors or the spread of disease in areas and to be able to find how to respond in a specific way. That's what I want to say today. So first of all, we will start with the rumors and the bad information. We will talk about rumors. What is the rumor first? When we are discussing here, the rumor is the fact of being able to identify information that is not real and that is not yet proven or when there is too much information. So the most important thing, you know, the man has so much information and several people have heard a lot of things. So it was difficult for the people to know what to do and what to do. So several people shared several information and people developed a certain path towards the others. So there was bad information. So people want to help. That's their objective. It's helping, but because of the rumors and the bad information, we can work in a proper way to solve some of the problems of several people who are also doing the bad information to spread the rumors again to maybe their profit or for their personal gain. So it's a certain person and it's also still to be able to solve the health problems by trying to reduce the rumors and the bad information. So people don't know how to deal with diseases or how to avoid diseases because of rumors. So it happened too when COVID-19 appeared at the end of 2019 and the health authorities were in place to be able to develop how to overcome the rumors and the bad information we have. So there are rumors. It's clear. There have been rumors, for example, that the international centers have been abusing people by bringing COVID-19. So there have been research to be able to put an end to these rumors. So to continue with the management system of the rumors and the system system to make sure that the rumors that arise in communities so that we can be aware of what is happening in real time and follow the situation properly. So there were some systems that were implemented through our organization or our organization. It's that we did everything to be able to better manage the situation of the pandemic with COVID-19. We were motivated to be able to collect the data, to visualize the rumors, to prove how to make the systems work to be able to respond efficiently. So we had to find a way to be able to react efficiently and promptly to then verify the rumors to make sure that if the rumors are founded or not. So some people learn the rumors from secondary sources like other institutions. And so we do more or less we cross the data to make sure of the truth. It's not very easy to cross the different data to be able to determine what is true and what is false. So it's true, it's not that easy but we did everything to be able to advance this data and be able to cross it to determine what is true and what is false. It takes time to analyze it to have the results in a systematic way. So I would like to draw your attention on the principles for digital development which is very important as a technological tool to be able to find situations. It's not just a technology but it's a whole network that allows to help partners to be able to eradicate the bad information and find the means to be able to verify the rumors. So it's not a technology so it's a technology that is easy to access that is easy to use and several countries use it. So our organization doesn't know what is going on in the health ecosystem but we do everything just to be able to serve the public well while helping to remove the different rumors that are happening and the technology that works. So these platforms take into account several platforms whose DHIS2 and we will talk about how this system works with DHIS2 and we will go step by step so let's collect the data to give birth to people who say what they heard as rumors that we put into the application on secondary sources like social networks and we analyze the application to analyze the rumors and here I'm talking about rumors to talk about the bad information or what we hear. So we share these information often in a frequent way and with the government and the different actors and we also offer the technical support to be able to communicate efficiently and for all the actors to be informed of what is going on. There was a colleague of the data on the studies what we listen in the world and the secondary sources even though the contributors are real which brings us the information. So first of all we are based on the contributors in the community to analyze the rumors. There were several partners who contributed to the development of this application. First of all we enter in this development program here and we have a segment where we enter the rumors as we can see and so we enter the date of the rumors later as we can see on the previous Diapo. Now we will see the limits of this system. So we train people to be able to enter the rumors inside and the process to be able to identify and see the interferences with the village leaders for example to see if the rumors are founded it's a very important point because it allows to inform on the communication of the risk. There are other rumors systems where you have to go do research of the events and do reporting, we accept the reports when the pandemic is coming for example but for us this is not the objective of our system. We try to follow the people to be able to evaluate the rumors talking to these people or interacting with these people. We have heard a lot about what is going on with the Covid-19. Several people said we are talking to these people to be able to have these information. We are trying to trace these individuals and we have had limits in the matter of information because we do not always have the source the first source of the rumors because there is for example Snapchat that always gives bad information because people just listen to things and they balance this on social networks so it becomes problems to manage. We have developed tools that allow to respond in a way that is quite human. So now we are going to talk about calling there are several steps the step where we use specific themes that are classed according to the degree of emergency and our team to analyze several communications several data and we come after with the expertise starting with the pandemic in Côte d'Ivoire we have heard rumors before the vaccines that it was available you arrive at the hospital and say that there are vaccines but people tell you that you do not have to trust these vaccines and some people say that we need vaccines but we say that the vaccine is not positive. So these rumors we have received all these types of vaccines of rumors sorry that we have integrated in our system that we have synthesized to know what is really we have started to develop to share messages on the vaccine to explain it we need information on just messages that may contain like the vaccine key or the routine vaccination so our idea or what we often hear is that the vaccine was secret and that we were trying to use the babies as cubs so it was what we had to look for and understand if the rumor was founded or not so we tried to see what it was and we tried to solve the problem so we have deductive codes and inductive codes that we have developed after the difficulty with the HIS-2 to look for the rumors that the HIS-2 was first used to develop for the information of health and not track the rumors so to track the community groups community local support it is not very obvious for us because we have then tried to track the roles the communication materials and and several other areas where we are now I have tried to see what it is to be able to investigate the ideas and the rumors that we hear so we have kept an event program and we added a synthesizer to the tracking program we tracked the rumors and other information on the checklist of information that we have to know how we can respond to a rumor and do it efficiently after the optimization of the rumors you know in the areas where there are rumors you had to find the way to find the positive in everything that is true in all these rumors so there were several sources for these rumors the information came online and then the information came from community contributors we have tried to to put everything here on the table but I hope you can see this with these sources we have analyzed and see where we have to do research in terms of rumors you can not manage thousands of rumors very easily with a single management of rumors thousands of millions of rumors so to manage this you have to be well aware we have shared rumors on the board table on the rumors that we often hear and we have shared this rumor that we see even in French it is not a summary but we see very well the way we have organized the rumors that the information is in French so we often hear that it is dangerous, it is not secure that we have made this vaccine for Africans and we have said even sometimes that the disease was not had no influence on Africans and that it is for whites and that the vaccine is to destroy black people among others so we put them on the table now sorry it was not very easy to put together all these information so you have to work with several organizations on site where you develop an adapted response at the end you have to know that we can also find a way to reorient DHS2 to track not only individuals but also communities so that's what we have done here to develop appropriate solutions now in the different countries of CCB we have prepared several documents on the management of metadata by our team and we have also made available to other teams so I develop now more or less ways to use DHS2 to improve its performance in the years I believe that we can continue to do this when we discover something we meet again, we share and then we find the way to get out so I thank everyone I thank my colleagues Natour de Sault among others who helped me and all my other colleagues in the different countries of the world who helped me recover these information to be able to do this presentation Thank you Natalie now it was very fascinating your presentation to see how you managed to adapt to DHS2 to follow the rumors so I am very happy I want to present you from there from Vietnam from the conversational agent who is the chatbot I just from Vietnam from PSI I hope you can see my screen and that the presentation continues normally it's perfect Thank you Rebecca for the introduction and thank you to everyone for participating I am in front of PSI Vietnam and I would like to share with you our experience in the integration of a conversational agent conversational agent with the DHS2 system for the private sector during the COVID-19 pandemic now I will share with you the context in Vietnam IBS based on the events was set up in 2010 by the health ministry and supported by CDC in the United States and others and the OMS we have tried to to start in Vietnam to start where we are going to report the cases the entry points among others and even we are based on the applications to communicate there are also contacts who give information we have collected information and we have remembered the public sector and the health services in private in private the pharmacies helped with the surveillance and it was one of the contact points because people often go to the pharmacy when they feel the symptoms like the cough and the cold so the pharmacies often don't get used to reporting of possible cases the information was limited on how the case was consolidated to analyze and share all the components also in Vietnam we have developed digital solutions and we have started with the conversational agent for the paludism in August 2020 from this conversational agent for the paludism we have developed the same for the pharmacies and companies or private health services in Vietnam we use an application of messenger which is a platform which helps in several languages this conversational agent or its users allows to have questions that we send and the health agents of the state easily respond to the concern of one of the others we have tried to integrate it in DHIS2 and give its price by this conversational agent which is analyzed and presented on different board tables as you will see on the last Diapo of course here is a map of the places where there are cases and then there are users conversational agents who are trained on the field to know how to use it we had to encourage health establishments to be able to submit their report and build a network a network for reporting and encourage to collect and analyze the metadata to be able to do tracking then we hope that health authorities can take the necessary positions to solve the different difficulties after a few months of implementation I think the results are promising about 3000 more than 3000 conversational agents are available everywhere there are projections for the provinces with our density we have tried to join industrial zones several cases are recorded for some for COVID-19 it's the fever or respiratory difficulty and there was 61% of these cases 61% of health establishments that revealed these symptoms most of these symptoms reported were fever, cough and respiratory difficulty 4.6% of these cases could be suspected of COVID-19 which means that they have symptoms of COVID like cough, fever and respiratory difficulty so when we can visualize DHS2 has allowed us to visualize on maps and different graphics we can know if there is a cluster a group of cases in a particular area it helps the authorities to be able to follow these areas in terms of health and to take appropriate positions and now I'm going to ask my colleague to talk about our collaboration with the health authorities in the country do you listen to me ? ok thank you to pass the word next diapos please as the president told the IBS system is in several countries and it followed the decision of our minister in 2018 it allowed us to have the maps of the areas where there are cases and then analyze the data to take the positions that are needed firstly there is the data collection to verify what happens in the area that was the responsibility of the medical personnel it allowed us to collaborate with the CICI to take the available in the affected areas the system allowed us to integrate information in DHS2 and then we evaluated the information and the CICI came to direct the operations and give their approval on each event as you can see on the right it's information on the clusters the group of cases that are integrated in DHS2 and on the left you see the number of cases and the health authorities can see the numbers and then decide to conduct it then to be able to evaluate the sustainability of the conversational agent next it was that the user was ready to report each suspect as you can see 49.4% have decided that they have to use the conversational agent even after the COVID-19 and 2.2% say no and 16.5% say they will think again before taking their place so it was that the user saw that the report conversational agent is better and more practical to declare the health situation in Vietnam after 9 months of implementation we have learned a lot as my colleague said the private sector was not used to submit reports to maintain the EBS to be able to maintain the EBS to encourage the private sector to be able to take part of the EBS based on events so they can share information with the private sector by inviting them to various training sessions or by sending emails to give them certifications for example at the end of the activity also the CDC in Vietnam and the health districts are responsible for the verification of the information of the investigation of the response and of the control so speaking of the technical aspect the conversational agent system will help reporting sometimes we don't have the time to have the next question or the next problem so it's possible to forget even to integrate this information in the platform so that's what limited certain actions now to give it to DG there were also limits because the analysis is much more limited comparatively to the event that takes care of the data in a traditional way and as a perspective health authorities play an important role already in the management and development of the EBS system and to reinforce the capacity of the network of the private sector to give them the training and the workshops to use the surveillance system with the use of the conversational agent we can have real-time information and reliable information to detect and record future events in the future we can apply the conversational agent on other platforms as a messenger to always inform the health authorities to learn the availability of the conversational agent to communicate with these different authorities and make their district and to apply this conversational agent to learn the information about the health authorities and other diseases we have seen what is happening at home there is a lot to say but what we can say because of time constraints so if there are other questions you can put them in the practical community thank you for your kind attention thank you the announcer who presented it since the Vietnam I encourage everyone to visit the information available in the practical community there are several activities but unfortunately we don't have time for the question-and-answer session which will be closed soon by saying that the practical community brings us together to discuss the use of DHIS2 and inform us in a daily way we also see how these cases are focused on understanding the flow of data and it allows us to understand the data in a daily way and in a consistent way and this allows us to learn the available and the actions to be able to respond effectively to the difficulties encountered the only thing I can say is also the inability to use this system because it is very different compared to what was done traditionally in all countries so we had to find how to integrate the data in DHIS2 and then help with the training so thank you to our orators today we can continue on the practical community now I think we can finish I don't know if Max has other questions thank you very much