<|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:"The impact of parental migration on injuries among left behind young people aged 10 years to 24 years in Botswana."
Abstract:"There has been little evidence of the relationship between children and absence of parents in Botswana literature; and it is still the case that absence of parents increases the risk of injuries to their children. The aim of this study is to investigate the impact of parental migration among left behind young people aged 10 years to 24 years in Botswana and examine patterns of injuries from immigrant families. This is a population-based cross-section from which a dataset was created by compiling data from two different sources for the period of 2010 to 2015. All the variables were transformed into natural logarithms so as to avoid outliers and normalize the variables. All statistical modeling was carried out using Statistical Analysis System version 6.1. Left behind young people were associated with higher risk of injuries especially in motor vehicle accidents 391(40%), fire 264 (27%), and burns 162 (16%) except for drowning, machinery and poisoning. Parental migration is the most important issue in the total number of injuries. Correlation coefficient shows that non-left behind, the greater the chance to be classified under the poisoning cases (r = 0.888) and is lower compared to the left behind (r = 0.471). This study shows clearly that injuries take an insufficiently high toll on children's health and on society. Additionally, if parental migration trends continue, Botswana's burden of injuries are expected to rise in the next 10 years.."
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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.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
The impact of parental migration on injuries among left behind young people aged 10 years to 24 years in Botswana
There has been little evidence of the relationship between children and absence of parents in Botswana literature; and it is still the case that absence of parents increases the risk of injuries to their children. The aim of this study is to investigate the impact of parental migration among left behind young people aged 10 years to 24 years in Botswana and examine patterns of injuries from immigrant families. This is a population-based cross-section from which a dataset was created by compiling data from two different sources for the period of 2010 to 2015. All the variables were transformed into natural logarithms so as to avoid outliers and normalize the variables. All statistical modeling was carried out using Statistical Analysis System version 6.1. Left behind young people were associated with higher risk of injuries especially in motor vehicle accidents 391(40%), fire 264 (27%), and burns 162 (16%) except for drowning, machinery and poisoning. Parental migration is the most important issue in the total number of injuries. Correlation coefficient shows that non-left behind, the greater the chance to be classified under the poisoning cases (r = 0.888) and is lower compared to the left behind (r = 0.471). This study shows clearly that injuries take an insufficiently high toll on children's health and on society. Additionally, if parental migration trends continue, Botswana's burden of injuries are expected to rise in the next 10 years.