<|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:"Correlates of late HIV diagnosis: implications for testing policy."
Abstract:"To develop new strategies aimed to reduce the delay in seeking HIV diagnosis, we proposed to identify correlates of late diagnosis of HIV infection in France. Late testing was studied among the 1077 patients diagnosed from 1996 and enrolled in the ANRS-EN12-VESPA, a representative sample of the French HIV-infected population. Patients were defined as 'late testers' if they had presented either clinical AIDS events or CD4 cell count < 200/mm(3) at diagnosis. In all, 33.1% were classified as late testers, among whom 42.6% had discovered their HIV infection at the time of AIDS events. This proportion increased with age and was higher for heterosexual men and migrants. Among the non-migrants heterosexual population, late diagnosis was more frequent among people in longstanding couple, with children and conversely was less likely among individuals with large number of sexual partners. Being on welfare benefit before diagnosis was associated with a lower risk of late diagnosis. Among migrants, lack of recent steady partnership was associated with an increased risk, as being diagnosed during the first year of stay in France. Our results showed low risk factors of infection were risk factors of late testing. Public communication should aim at improving the awareness of HIV risk in longstanding couples with stable employment, both among homosexual and heterosexual populations. Among migrants, HIV testing with informed consent short after entry should be improved, especially towards individuals not in couple.."
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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: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [0];
Q4 = [];
Q5 = [0];
Q6 = [1].
Correlates of late HIV diagnosis: implications for testing policy
To develop new strategies aimed to reduce the delay in seeking HIV diagnosis, we proposed to identify correlates of late diagnosis of HIV infection in France. Late testing was studied among the 1077 patients diagnosed from 1996 and enrolled in the ANRS-EN12-VESPA, a representative sample of the French HIV-infected population. Patients were defined as 'late testers' if they had presented either clinical AIDS events or CD4 cell count < 200/mm(3) at diagnosis. In all, 33.1% were classified as late testers, among whom 42.6% had discovered their HIV infection at the time of AIDS events. This proportion increased with age and was higher for heterosexual men and migrants. Among the non-migrants heterosexual population, late diagnosis was more frequent among people in longstanding couple, with children and conversely was less likely among individuals with large number of sexual partners. Being on welfare benefit before diagnosis was associated with a lower risk of late diagnosis. Among migrants, lack of recent steady partnership was associated with an increased risk, as being diagnosed during the first year of stay in France. Our results showed low risk factors of infection were risk factors of late testing. Public communication should aim at improving the awareness of HIV risk in longstanding couples with stable employment, both among homosexual and heterosexual populations. Among migrants, HIV testing with informed consent short after entry should be improved, especially towards individuals not in couple.