<|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:"Estimating and Explaining the Prevalence of Tuberculosis for Asylum Seekers Upon Their Arrival in Germany."
Abstract:"Up until recently incidences of tuberculosis (TB) had been declining for many years in Germany. The rise in TB cases coincided with a large increase in the number of people applying for asylum. We combine data from various sources to estimate the at-entry prevalence of TB for asylum seekers from 18 countries of origin and rely on survey data to explain the varying risk of suffering from TB. Our results reveal that asylum seekers from Eastern Africa show a much higher risk of suffering from TB than asylum seekers from Afghanistan, Syria, or Iraq. The survey data suggests that asylum seekers from Africa were by far more underprivileged in their respective countries of origin and experienced a higher risk of contracting TB on their way to Germany. Information about the socio-economic situation and the circumstances of the journey to Germany may help to improve TB surveillance.."
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:

Estimating and Explaining the Prevalence of Tuberculosis for Asylum Seekers Upon Their Arrival in Germany
Up until recently incidences of tuberculosis (TB) had been declining for many years in Germany. The rise in TB cases coincided with a large increase in the number of people applying for asylum. We combine data from various sources to estimate the at-entry prevalence of TB for asylum seekers from 18 countries of origin and rely on survey data to explain the varying risk of suffering from TB. Our results reveal that asylum seekers from Eastern Africa show a much higher risk of suffering from TB than asylum seekers from Afghanistan, Syria, or Iraq. The survey data suggests that asylum seekers from Africa were by far more underprivileged in their respective countries of origin and experienced a higher risk of contracting TB on their way to Germany. Information about the socio-economic situation and the circumstances of the journey to Germany may help to improve TB surveillance.