<|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:"An explanation of the persistent doctor-mortality association."
Abstract:"Study objective-The aim of the study is to explain the persistent but puzzling positive correlation of physicians per capita and mortality rates, when income is controlled, which has been reported many times since it was first observed in 1978. The explanation that is proposed and tested is that expanding urban-industrial regions attract an oversupply of doctors. Also, but independently, rural people migrate to urban-industrial areas where they suffer from the stress of adapting to urban-industrial life. Consequently, their death rates rise. Source material-Using data from the 47 Japanese prefectures, the 3000+ counties of the USA and a set of 29 mostly European countries, the explanation was examined by adding the appropriate test variable to a basic equation linking physicians per capita to mortality, net of income. Results-The test variables dissolved or reduced the original correlation in two of the three samples, but the signs did not change from positive to negative, as would be expected on the basis of conventional biomedical theory. The available test variable (refugees) did not reduce the correlation for the 29 countries but a particular subset of countries was identified that did. Conclusion-The conceptual and empirical analysis exposed the positive correlation as spurious, but the availability of medical specialists had little impact on mortality rates in competition with the social and economic variables that were used as controls.."
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 = [];
Q3 = [0];
Q4 = [0];
Q5 = [];
Q6 = [1].
An explanation of the persistent doctor-mortality association
Study objective-The aim of the study is to explain the persistent but puzzling positive correlation of physicians per capita and mortality rates, when income is controlled, which has been reported many times since it was first observed in 1978. The explanation that is proposed and tested is that expanding urban-industrial regions attract an oversupply of doctors. Also, but independently, rural people migrate to urban-industrial areas where they suffer from the stress of adapting to urban-industrial life. Consequently, their death rates rise. Source material-Using data from the 47 Japanese prefectures, the 3000+ counties of the USA and a set of 29 mostly European countries, the explanation was examined by adding the appropriate test variable to a basic equation linking physicians per capita to mortality, net of income. Results-The test variables dissolved or reduced the original correlation in two of the three samples, but the signs did not change from positive to negative, as would be expected on the basis of conventional biomedical theory. The available test variable (refugees) did not reduce the correlation for the 29 countries but a particular subset of countries was identified that did. Conclusion-The conceptual and empirical analysis exposed the positive correlation as spurious, but the availability of medical specialists had little impact on mortality rates in competition with the social and economic variables that were used as controls.