<|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:"More than just aging societies: the demographic change has an impact on actual numbers of patients."
Abstract:"Objective The purpose of this paper is to estimate the number of patients resulting from the aging of the population for selected diseases (colon cancer, myocardial infarction, diabetes mellitus and dementia) in 2012 and 2020 compared to 2002 based on the Federal State of Mecklenburg-West Pomerania as a model for Germany. Data sources The population projection considers fertility, migration and age-specific mortality in Mecklenburg-West Pomerania. The calculation of patient number is based on age-specific incidence or prevalence from population-based epidemiological studies and/or registers. Study design The population for 2012 and 2020 is projected for 1-year gender-specific age-cohorts. The demographic projection is then used for the estimation of age-and genderspecific numbers of patients. Results While the total population will decrease by 10.5% in Mecklenburg-West Pomerania by 2012, both the proportion and the absolute number of people older than 64 years will increase (2002: 294,000; 2012: 349,000; 2020: 382,000). As a consequence, the incident number of patients with colon cancer will increase by 24.4% by 2012 (+ 30.9% in 2020) and with myocardial infarction by 27.5% by 2012 (+ 40.9% in 2020). Conclusion The demographic change will lead to an absolute increase of patients with colon cancer, myocardial infarction, diabetes mellitus and dementia. At the same time the age-spectrum of patients with these diseases will shift towards older ages.."
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].
More than just aging societies: the demographic change has an impact on actual numbers of patients
Objective The purpose of this paper is to estimate the number of patients resulting from the aging of the population for selected diseases (colon cancer, myocardial infarction, diabetes mellitus and dementia) in 2012 and 2020 compared to 2002 based on the Federal State of Mecklenburg-West Pomerania as a model for Germany. Data sources The population projection considers fertility, migration and age-specific mortality in Mecklenburg-West Pomerania. The calculation of patient number is based on age-specific incidence or prevalence from population-based epidemiological studies and/or registers. Study design The population for 2012 and 2020 is projected for 1-year gender-specific age-cohorts. The demographic projection is then used for the estimation of age-and genderspecific numbers of patients. Results While the total population will decrease by 10.5% in Mecklenburg-West Pomerania by 2012, both the proportion and the absolute number of people older than 64 years will increase (2002: 294,000; 2012: 349,000; 2020: 382,000). As a consequence, the incident number of patients with colon cancer will increase by 24.4% by 2012 (+ 30.9% in 2020) and with myocardial infarction by 27.5% by 2012 (+ 40.9% in 2020). Conclusion The demographic change will lead to an absolute increase of patients with colon cancer, myocardial infarction, diabetes mellitus and dementia. At the same time the age-spectrum of patients with these diseases will shift towards older ages.