<|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:"Does it matter how you slice it? The relationship between population ageing and use of hospital and posthospital care in the United States."
Abstract:"In the context of demographic transition, one would expect public health planners to allocate resources according to changing needs. This paper explores the effects that definitions of population ageing have on the images of, and subsequent responses to, demographic transition in the United States. Data are drawn from the 1988 U.S. Census and from a 20-per cent national random sample of Medicare patients during the same period (n = 1.9 million). Main findings are that supply and use of acute services do differ according to definitions and the way in which population ageing has occurred; that, regardless of definition, older people in high-ageing states make far greater use of posthospital home health care than in low-ageing states; and that, although individual-level clinical factors appear central to rehabilitative decisions, all states seem to use very old age (85-plus) as a proxy to determine who goes where, with low-ageing states also affected by structural constraints at the hospital and market levels.."
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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
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Q6 = [1].
Does it matter how you slice it? The relationship between population ageing and use of hospital and posthospital care in the United States
In the context of demographic transition, one would expect public health planners to allocate resources according to changing needs. This paper explores the effects that definitions of population ageing have on the images of, and subsequent responses to, demographic transition in the United States. Data are drawn from the 1988 U.S. Census and from a 20-per cent national random sample of Medicare patients during the same period (n = 1.9 million). Main findings are that supply and use of acute services do differ according to definitions and the way in which population ageing has occurred; that, regardless of definition, older people in high-ageing states make far greater use of posthospital home health care than in low-ageing states; and that, although individual-level clinical factors appear central to rehabilitative decisions, all states seem to use very old age (85-plus) as a proxy to determine who goes where, with low-ageing states also affected by structural constraints at the hospital and market levels.