<|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:"Employment by HIV status, mode of HIV transmission and migrant status: a nation-wide population-based study."
Abstract:"Objective: To compare employment in people by HIV status, mode of HIV transmission and migrant status. Design: Nation-wide population-based register data from 1996 to 2016. Methods: All people born between 1940 and 2000 (n = 8587 629) were identified from the Swedish Total Population Register and linked to the Swedish National HIV Register (n = 9492) and Longitudinal Integration Database for Health Insurance and Labour Market Studies. Adjusted prevalence ratios (adjPR) of employment were calculated using Poisson regression. Trends in employment were illustrated in scatterplots with overlaid prediction plots. Results: People with HIV were less likely employed than HIV-negative but with decreasing difference over time [adjPR 0.57, 95% confidence interval (CI) 0.54-0.60 in 1996, adjPR 0.84, 95% CI 0.83-0.86 in 2016]. Female migrants with HIV had the highest increase of employment over time and were more likely employed than HIV-negative female migrants by end of follow-up (adjPR 1.12, 95% CI 1.08-1.16). Swedish-born with present/former intravenous drug use had the lowest employment rates. Individuals with undetectable HIV-RNA viral levels showed higher employment rates (adjPR 1.29, 95% CI 1.20-1.38) compared with those with detectable viral levels. Conclusion: Employment in people living with HIV (PLWH) increased over time but remained lower than for HIV-negative people. HIV was not associated with lower employment in migrants by end of follow-up, indicating that HIV is not a barrier for employment among migrants in Sweden. The heterogeneity of PLWH needs to be taken into account in interventions, and future studies, focusing on access to the labour market in PLWH.."
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: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [2];
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Q5 = [];
Q6 = [1].
Employment by HIV status, mode of HIV transmission and migrant status: a nation-wide population-based study
Objective: To compare employment in people by HIV status, mode of HIV transmission and migrant status. Design: Nation-wide population-based register data from 1996 to 2016. Methods: All people born between 1940 and 2000 (n = 8587 629) were identified from the Swedish Total Population Register and linked to the Swedish National HIV Register (n = 9492) and Longitudinal Integration Database for Health Insurance and Labour Market Studies. Adjusted prevalence ratios (adjPR) of employment were calculated using Poisson regression. Trends in employment were illustrated in scatterplots with overlaid prediction plots. Results: People with HIV were less likely employed than HIV-negative but with decreasing difference over time [adjPR 0.57, 95% confidence interval (CI) 0.54-0.60 in 1996, adjPR 0.84, 95% CI 0.83-0.86 in 2016]. Female migrants with HIV had the highest increase of employment over time and were more likely employed than HIV-negative female migrants by end of follow-up (adjPR 1.12, 95% CI 1.08-1.16). Swedish-born with present/former intravenous drug use had the lowest employment rates. Individuals with undetectable HIV-RNA viral levels showed higher employment rates (adjPR 1.29, 95% CI 1.20-1.38) compared with those with detectable viral levels. Conclusion: Employment in people living with HIV (PLWH) increased over time but remained lower than for HIV-negative people. HIV was not associated with lower employment in migrants by end of follow-up, indicating that HIV is not a barrier for employment among migrants in Sweden. The heterogeneity of PLWH needs to be taken into account in interventions, and future studies, focusing on access to the labour market in PLWH.