<|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 INCIDENCE AND PREVALENCE OF TREATED PSYCHIATRIC-DISORDERS FROM ROUTINE STATISTICS - THE EXAMPLE OF SCHIZOPHRENIA IN OXFORDSHIRE."
Abstract:"Study objective - To use routine statistical records to estimate the incidence and prevalence of treated schizophrenia. Design and setting - Analysis of linked records in Oxfordshire (population 540000) for all people in contact with specialist psychiatric services from 1975-86. Subjects - Records of 685 people with a diagnosis of schizophrenia as an inpatient and a further 294 people who received specialist psychiatric care for schizophrenia outside hospital without any record of inpatient care. Measurements and main results - The measures most commonly recorded in psychiatric statistics, first admission rates for people in whom schizophrenia was recorded at their first psychiatric admission, were 8.7 per 100000 males and 5.6 per 100000 females. First contact rates for people in whom schizophrenia was recorded at any time in the study period and in any setting were 15.1 per 100000 males and 11.4 per 100000 females. Whichever patient population was analysed, the broad profile of schizophrenia by age, sex, and calendar time was similar. Conclusions - First admission rates for schizophrenia, as identifiable in current routine information systems, are useful indicators of the general pattern of disease but are inadequate absolute indicators of treated incidence. These data are limited to the first ever contact. Reliable information about the treated incidence of disease requires information systems which incorporate information about when and where each diagnosis was first made. Reliable information about treated prevalence requires systems which also incorporate data about death, recovery, and migration into and out of the study population.."
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.

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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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ESTIMATING INCIDENCE AND PREVALENCE OF TREATED PSYCHIATRIC-DISORDERS FROM ROUTINE STATISTICS - THE EXAMPLE OF SCHIZOPHRENIA IN OXFORDSHIRE
Study objective - To use routine statistical records to estimate the incidence and prevalence of treated schizophrenia. Design and setting - Analysis of linked records in Oxfordshire (population 540000) for all people in contact with specialist psychiatric services from 1975-86. Subjects - Records of 685 people with a diagnosis of schizophrenia as an inpatient and a further 294 people who received specialist psychiatric care for schizophrenia outside hospital without any record of inpatient care. Measurements and main results - The measures most commonly recorded in psychiatric statistics, first admission rates for people in whom schizophrenia was recorded at their first psychiatric admission, were 8.7 per 100000 males and 5.6 per 100000 females. First contact rates for people in whom schizophrenia was recorded at any time in the study period and in any setting were 15.1 per 100000 males and 11.4 per 100000 females. Whichever patient population was analysed, the broad profile of schizophrenia by age, sex, and calendar time was similar. Conclusions - First admission rates for schizophrenia, as identifiable in current routine information systems, are useful indicators of the general pattern of disease but are inadequate absolute indicators of treated incidence. These data are limited to the first ever contact. Reliable information about the treated incidence of disease requires information systems which incorporate information about when and where each diagnosis was first made. Reliable information about treated prevalence requires systems which also incorporate data about death, recovery, and migration into and out of the study population.