<|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:"Disaster Medicine Education for Israeli Medical Response Teams to the Ukrainian Refugee Crisis."
Abstract:"Introduction:Disaster Medicine (DM) requires skills, knowledge, and prior experience that are rarely put to test by health care providers. Pediatric DM presents unique challenges in terms of both knowledge and practice. Methods:An anonymous survey consisting of demographic and five-point Likert scale questions was administered to physicians, nurses, and other medical personnel from Israel's major medical emergency teams who were deployed to respond to the refugee crisis in Ukraine. This included teams from the Hadassah and Tel Aviv Sourasky Medical Centers and the Israel Ministry of Health. Results:Of the 171 members of the medical teams deployed on the Ukraine border, a total of 105 responses were obtained (61.4%) from 61 physicians, 50 nurses, and 12 other health care providers. The teams were composed of pediatricians (31.6%), internal medicine physicians (21.6%), Emergency Medicine and intensive care physicians (18.0%), and 31.0% other specialties.For 60% of the participants, this was their first deployment, and 78% had received no training in DM. Members rated the need for DM training at 4/5 (IQR 3-5). Forty-nine (49) members (46.6%) were not briefed on situational awareness and 97 members (89.5%) were not trained in the recognition of acute stress reactions. The responders also rated their concerns about providing medical aid to children at 2/5 (IQR 1-3). A medical clown was part of the teams 42.8% of the time; the presence of clowns was rated at a median of 4/5 (IQR 4-5). The team members underscored the need for more targeted training in DM at 5/5 (IQR 3-5). Conclusion:The findings highlight the need for the formulation of a disaster education model that includes pediatric DM.."
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 = [4,5];
Q3 = [];
Q4 = [0];
Q5 = [0];
Q6 = [1].
Disaster Medicine Education for Israeli Medical Response Teams to the Ukrainian Refugee Crisis
Introduction:Disaster Medicine (DM) requires skills, knowledge, and prior experience that are rarely put to test by health care providers. Pediatric DM presents unique challenges in terms of both knowledge and practice. Methods:An anonymous survey consisting of demographic and five-point Likert scale questions was administered to physicians, nurses, and other medical personnel from Israel's major medical emergency teams who were deployed to respond to the refugee crisis in Ukraine. This included teams from the Hadassah and Tel Aviv Sourasky Medical Centers and the Israel Ministry of Health. Results:Of the 171 members of the medical teams deployed on the Ukraine border, a total of 105 responses were obtained (61.4%) from 61 physicians, 50 nurses, and 12 other health care providers. The teams were composed of pediatricians (31.6%), internal medicine physicians (21.6%), Emergency Medicine and intensive care physicians (18.0%), and 31.0% other specialties.For 60% of the participants, this was their first deployment, and 78% had received no training in DM. Members rated the need for DM training at 4/5 (IQR 3-5). Forty-nine (49) members (46.6%) were not briefed on situational awareness and 97 members (89.5%) were not trained in the recognition of acute stress reactions. The responders also rated their concerns about providing medical aid to children at 2/5 (IQR 1-3). A medical clown was part of the teams 42.8% of the time; the presence of clowns was rated at a median of 4/5 (IQR 4-5). The team members underscored the need for more targeted training in DM at 5/5 (IQR 3-5). Conclusion:The findings highlight the need for the formulation of a disaster education model that includes pediatric DM.