<|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:"Recent changes in the geography of social disparities in premature mortality in Quebec."
Abstract:"Most recent research reveals that social inequalities in premature mortality are widening. Such findings mainly apply to countries as a whole. In this study, we model recent changes in the association between premature mortality and a deprivation index (a small area-based index) in four geographic settings in Quebec, namely the Montreal metropolitan area, other Quebec metropolitan areas, mid-size cities, and small towns and rural areas. Deaths from all-cause and specific causes of mortality among people under age 75 are considered for the periods 1989-1993 and 1999-2003. Mortality rates are modeled using negative binomial regressions. Models are fitted for the overall population and for men and women, separately, in every geographic setting. Three measures of inequalities are used: mortality rates for different population groups, rate ratios and rate differences. Results show that social inequalities in premature mortality increase everywhere in Quebec except in the Montreal metropolitan area. Presently, the highest mortality rates among deprived groups are found in mid-size cities, small towns and rural areas; the highest rate ratios in the Montreal metropolitan area and other metropolitan areas of Quebec; and the highest rate differences in the Montreal metropolitan area, other metropolitan areas of Quebec and mid-size cities. These results are discussed with reference to possible explanatory factors, namely relative deprivation, smoking, immigration and internal migration. Indications on future research and policy implications are provided. Crown Copyright (C) 2008 Published by Elsevier Ltd. All rights reserved.."
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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.

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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Recent changes in the geography of social disparities in premature mortality in Quebec
Most recent research reveals that social inequalities in premature mortality are widening. Such findings mainly apply to countries as a whole. In this study, we model recent changes in the association between premature mortality and a deprivation index (a small area-based index) in four geographic settings in Quebec, namely the Montreal metropolitan area, other Quebec metropolitan areas, mid-size cities, and small towns and rural areas. Deaths from all-cause and specific causes of mortality among people under age 75 are considered for the periods 1989-1993 and 1999-2003. Mortality rates are modeled using negative binomial regressions. Models are fitted for the overall population and for men and women, separately, in every geographic setting. Three measures of inequalities are used: mortality rates for different population groups, rate ratios and rate differences. Results show that social inequalities in premature mortality increase everywhere in Quebec except in the Montreal metropolitan area. Presently, the highest mortality rates among deprived groups are found in mid-size cities, small towns and rural areas; the highest rate ratios in the Montreal metropolitan area and other metropolitan areas of Quebec; and the highest rate differences in the Montreal metropolitan area, other metropolitan areas of Quebec and mid-size cities. These results are discussed with reference to possible explanatory factors, namely relative deprivation, smoking, immigration and internal migration. Indications on future research and policy implications are provided. Crown Copyright (C) 2008 Published by Elsevier Ltd. All rights reserved.