<|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:"Factors associated with risk behavior in travelers to tropical and subtropical regions."
Abstract:"Background: Recent decades have seen a rise in population movements and, therefore, the spread of tropical diseases and changes in the epidemiology of global disease patterns. Only 50% of travelers to tropical areas receive pre-travel advice and most of them present risk behaviors for acquiring infections. The aim of this study was to describe the clinical and epidemiological characteristics of travelers and identify factors associated with risk behaviors. Methods: We made a retrospective, descriptive and analytical study of 772 travelers consulting a tropical medicine clinic in Barcelona in 2010. Data on demographic and clinical variables, travel characteristics and risk behaviors were collected. Results: Among all travelers studied, 65.8% (466/708) received pre-travel advice and 30.7% (209/680) took malaria prophylaxis. At least one risk behavior was reported by 82.6% (587/711) of travelers. People traveling for 1-6 months had a 3-fold higher likelihood of experiencing risk behaviors than people traveling for,1 month (95% CI 1.54-5.81, p = 0.001), and those traveling for >6 months had a 13-fold higher likelihood (95% CI 3.11-56.14, p<0.001) compared with the same group. Increasing age was associated with presenting less risk behaviors. Conclusions: Younger travelers and those making longer trips have a higher number of risk behaviors. Strategies emphasizing advice on risk behavior should focus on these groups.."
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 = [1];
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Q6 = [1].
Factors associated with risk behavior in travelers to tropical and subtropical regions
Background: Recent decades have seen a rise in population movements and, therefore, the spread of tropical diseases and changes in the epidemiology of global disease patterns. Only 50% of travelers to tropical areas receive pre-travel advice and most of them present risk behaviors for acquiring infections. The aim of this study was to describe the clinical and epidemiological characteristics of travelers and identify factors associated with risk behaviors. Methods: We made a retrospective, descriptive and analytical study of 772 travelers consulting a tropical medicine clinic in Barcelona in 2010. Data on demographic and clinical variables, travel characteristics and risk behaviors were collected. Results: Among all travelers studied, 65.8% (466/708) received pre-travel advice and 30.7% (209/680) took malaria prophylaxis. At least one risk behavior was reported by 82.6% (587/711) of travelers. People traveling for 1-6 months had a 3-fold higher likelihood of experiencing risk behaviors than people traveling for,1 month (95% CI 1.54-5.81, p = 0.001), and those traveling for >6 months had a 13-fold higher likelihood (95% CI 3.11-56.14, p<0.001) compared with the same group. Increasing age was associated with presenting less risk behaviors. Conclusions: Younger travelers and those making longer trips have a higher number of risk behaviors. Strategies emphasizing advice on risk behavior should focus on these groups.