<|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:"Sentinel surveillance data from Eritrean migrants in Italy: The theory of Healthy Migrants."
Abstract:"Background: Eritrean migrants accounted for the majority of people who drowned in the Mediterranean this year. Recently, data deficit about international migration has been reported. Methods: One hundred and thirty-three Eritrean migrants, upon their arrival in Italy, were accommodated at the asylum seekers center of Castelnuovo di Porto, together with 25 sanitary workers, and received microbiological surveillance at the Clinical Pathology and Microbiology Unit of the University Campus Bio-Medico of Rome. Results: Gram-negative bacteria, mostly Klebsiella pneumoniae and Klebsiella oxytoca, were frequently recovered in surveillance swabs. Gram-positive bacteria, represented by Streptococcus pneumoniae. Streptococcus pyogenes. Streptococcus dysgalactiae and Staphylococcus aureus, were also isolated in surveillance swabs. In migrants, polymicrobial swabs were recovered at high frequency, and unusual microorganisms, rarely found in our country, were isolated. Conclusion: The polymicrobial colonization and the high prevalence of gram-negative bacteria represent the baseline characteristics of this migrant population from Eritrea. The presence of unusual micro-organisms can be potentially pathogenic to asymptomatic carriers at risk of developing clinical disease if immunosuppressed or subjected to invasive procedures. In conclusion, active microbiological surveillance can represent an advantage for the host country in terms of data collection and by tracing unusual or resistant microorganisms by monitoring migrants' health status. (C) 2017 Elsevier Ltd. All rights reserved.."
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 = [];
Q3 = [2];
Q4 = [];
Q5 = [0];
Q6 = [1].
Sentinel surveillance data from Eritrean migrants in Italy: The theory of Healthy Migrants
Background: Eritrean migrants accounted for the majority of people who drowned in the Mediterranean this year. Recently, data deficit about international migration has been reported. Methods: One hundred and thirty-three Eritrean migrants, upon their arrival in Italy, were accommodated at the asylum seekers center of Castelnuovo di Porto, together with 25 sanitary workers, and received microbiological surveillance at the Clinical Pathology and Microbiology Unit of the University Campus Bio-Medico of Rome. Results: Gram-negative bacteria, mostly Klebsiella pneumoniae and Klebsiella oxytoca, were frequently recovered in surveillance swabs. Gram-positive bacteria, represented by Streptococcus pneumoniae. Streptococcus pyogenes. Streptococcus dysgalactiae and Staphylococcus aureus, were also isolated in surveillance swabs. In migrants, polymicrobial swabs were recovered at high frequency, and unusual microorganisms, rarely found in our country, were isolated. Conclusion: The polymicrobial colonization and the high prevalence of gram-negative bacteria represent the baseline characteristics of this migrant population from Eritrea. The presence of unusual micro-organisms can be potentially pathogenic to asymptomatic carriers at risk of developing clinical disease if immunosuppressed or subjected to invasive procedures. In conclusion, active microbiological surveillance can represent an advantage for the host country in terms of data collection and by tracing unusual or resistant microorganisms by monitoring migrants' health status. (C) 2017 Elsevier Ltd. All rights reserved.