<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Exploring electronic health records to estimate the extent of catch-up immunisation and factors associated with under-immunisation among refugees and asylum seekers in south east Queensland."
Abstract:"Background: Australia is one of the leading countries resettling people from refugee-like backgrounds. Catch-up immunisation is a key priority in this cohort. However, few studies have included asylum seek-ers and the adult age group in their study sample. In addition, Electronic Health Records (EHR) has recently been recognised as a vital tool in big data analysis with the capacity to contribute to informed strategic decision making. As such, the main aim of this study is to explore EHR routinely used in a spe-cialised refugee clinic in South East Queensland to estimate the extent of catch-up immunisation and assess the factors associated with under-immunisation among refugees and asylum seekers. Methods: A quantitative study involving a secondary data analysis on a pre-existing dataset was under-taken. Relevant data was extracted from the EHR in the clinic. SPSS was used to perform Statistical data analysis. Results: The majority of clients originated from Papua New Guinea, followed by Iran and Afghanistan. When assessing the uptake of catch-up immunisations among refugees and asylum seekers, MMR (Measles-Mumps-Rubella), Polio and DTP (Diphtheria-Tetanus-Pertussis) had the highest uptake, while HPV (Human Papilloma Virus), Pneumococcal and Hib (Haemophilus influenza type b) immunisations had the lowest uptake. Binary logistic regression revealed that the younger patients, the refugees (com-pared to asylum seekers) and those with a longer residential duration in Australia are at a higher risk of being under-immunised. Conclusion: This study indicates that the broader group of immigrants, and in particular refugees and asy-lum seekers, do not represent a homogenous group in terms of immunisation coverage, and that each cohort should be carefully considered during immunisation interventions and strategies. This will be par-ticularly important during targeted health promotions and future immunisation programs in this cohort. (c) 2021 Elsevier Ltd. All rights reserved.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

Exploring electronic health records to estimate the extent of catch-up immunisation and factors associated with under-immunisation among refugees and asylum seekers in south east Queensland
Background: Australia is one of the leading countries resettling people from refugee-like backgrounds. Catch-up immunisation is a key priority in this cohort. However, few studies have included asylum seek-ers and the adult age group in their study sample. In addition, Electronic Health Records (EHR) has recently been recognised as a vital tool in big data analysis with the capacity to contribute to informed strategic decision making. As such, the main aim of this study is to explore EHR routinely used in a spe-cialised refugee clinic in South East Queensland to estimate the extent of catch-up immunisation and assess the factors associated with under-immunisation among refugees and asylum seekers. Methods: A quantitative study involving a secondary data analysis on a pre-existing dataset was under-taken. Relevant data was extracted from the EHR in the clinic. SPSS was used to perform Statistical data analysis. Results: The majority of clients originated from Papua New Guinea, followed by Iran and Afghanistan. When assessing the uptake of catch-up immunisations among refugees and asylum seekers, MMR (Measles-Mumps-Rubella), Polio and DTP (Diphtheria-Tetanus-Pertussis) had the highest uptake, while HPV (Human Papilloma Virus), Pneumococcal and Hib (Haemophilus influenza type b) immunisations had the lowest uptake. Binary logistic regression revealed that the younger patients, the refugees (com-pared to asylum seekers) and those with a longer residential duration in Australia are at a higher risk of being under-immunised. Conclusion: This study indicates that the broader group of immigrants, and in particular refugees and asy-lum seekers, do not represent a homogenous group in terms of immunisation coverage, and that each cohort should be carefully considered during immunisation interventions and strategies. This will be par-ticularly important during targeted health promotions and future immunisation programs in this cohort. (c) 2021 Elsevier Ltd. All rights reserved.