<|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 PREVALENCE OF HUMAN MELIOIDOSIS IN NORTHERN QUEENSLAND."
Abstract:"Sera from 9047 individuals from northern Queensland [Australia] were examined for the presence of hemagglutinating antibodies to Pseudomonas pseudomallei, the causative agent of melioidosis, and 512 (5.7%) were found to have titers of 1:40 or greater. The distribution of positive reactors in various groups was uneven, and significantly higher prevalence of positive antibody titers were found in the sera from Aborigines (7.9-10.6%), Torres Strait Islanders (7.8%), Vietnamese refugees (29%) and from persons with certain medical conditions including chronic alcoholism (15%), chronic infections (14.8%), diabetes mellitus (8.6%) and liver disease (12.9%). There were significantly fewer positive reactors (1.4%) among the armed forces stationed in northern Queensland. At present, the boundaries of the major endemic region of Australia extend north from Rockhampton along the coast to Darwin and inland, west from Rockhampton to Tennant Creek in central Australia. Townsville was found to have the highest prevalence (5.2%) of positive reactors of all urban populations of northern Queensland. The extent of the disease is such that it can no longer be considered a rare infection in northern Queensland.."
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 = [0];
Q2 = [];
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Q5 = [];
Q6 = [1].
THE PREVALENCE OF HUMAN MELIOIDOSIS IN NORTHERN QUEENSLAND
Sera from 9047 individuals from northern Queensland [Australia] were examined for the presence of hemagglutinating antibodies to Pseudomonas pseudomallei, the causative agent of melioidosis, and 512 (5.7%) were found to have titers of 1:40 or greater. The distribution of positive reactors in various groups was uneven, and significantly higher prevalence of positive antibody titers were found in the sera from Aborigines (7.9-10.6%), Torres Strait Islanders (7.8%), Vietnamese refugees (29%) and from persons with certain medical conditions including chronic alcoholism (15%), chronic infections (14.8%), diabetes mellitus (8.6%) and liver disease (12.9%). There were significantly fewer positive reactors (1.4%) among the armed forces stationed in northern Queensland. At present, the boundaries of the major endemic region of Australia extend north from Rockhampton along the coast to Darwin and inland, west from Rockhampton to Tennant Creek in central Australia. Townsville was found to have the highest prevalence (5.2%) of positive reactors of all urban populations of northern Queensland. The extent of the disease is such that it can no longer be considered a rare infection in northern Queensland.