<|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:"Perinatal Outcomes Among Venezuelan Immigrants in Colombia: A Cross-Sectional Study."
Abstract:"In the last decade, Venezuela suffers a humanitarian crisis, leading to massive emigration. One of the most vulnerable migrants ' groups is pregnant women. We analyzed the perinatal outcomes of Venezuelan migrants in Colombia and identified if migration was associated with perinatal outcomes. Birth data were obtained from the 2017 Colombian national birth registry (1085 births in migrants and 654,829 in Colombians). Logistic and linear regression models were used to identify the association between the demographic, obstetric and neonatal characteristics with premature birth (PB), low birth weight (LBW), 1-min, and 5-min Apgar score. Venezuelan were more likely to have newborns with LBW, lower Apgar scores at 1-min and 5-min in comparison to Colombians. Furthermore, a difference was observed in the low health insurance coverage and antenatal care visits among Venezuelan in comparison to natives. Access to health care services for the migrants is desirable for the improvement of perinatal health conditions.."
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 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [4,7];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Perinatal Outcomes Among Venezuelan Immigrants in Colombia: A Cross-Sectional Study
In the last decade, Venezuela suffers a humanitarian crisis, leading to massive emigration. One of the most vulnerable migrants ' groups is pregnant women. We analyzed the perinatal outcomes of Venezuelan migrants in Colombia and identified if migration was associated with perinatal outcomes. Birth data were obtained from the 2017 Colombian national birth registry (1085 births in migrants and 654,829 in Colombians). Logistic and linear regression models were used to identify the association between the demographic, obstetric and neonatal characteristics with premature birth (PB), low birth weight (LBW), 1-min, and 5-min Apgar score. Venezuelan were more likely to have newborns with LBW, lower Apgar scores at 1-min and 5-min in comparison to Colombians. Furthermore, a difference was observed in the low health insurance coverage and antenatal care visits among Venezuelan in comparison to natives. Access to health care services for the migrants is desirable for the improvement of perinatal health conditions.