<|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:"Love in the Time of War: Identifying Neighborhood-level Predictors of Intimate Partner Violence from a Longitudinal Study in Refugee-hosting Communities."
Abstract:"A high prevalence of intimate partner violence (IPV) has been documented among women living in conflict-affected and refugee-hosting areas, but why this occurs is not well understood. Conflict and displacement deteriorate communities' social cohesion and community connectedness; these neighborhood social environments may influence individual IPV outcomes. We explored neighborhood-level social disorganization and cohesion as predictors of recent IPV in refugee-hosting communities in northern Ecuador by conducting multi-level logistic regression on a longitudinal sample of 1,312 women. Neighborhood social disorganization was marginally positively associated with emotional IPV (AOR: 1.17, 95% CI: .99, 1.38) and physical and/or sexual IPV (AOR: 1.20, 95% CI: .96, 1.51). This was partially mediated by neighborhood-level civic engagement in the case of emotional IPV. At the household level, perceived discrimination and experience of psychosocial stressors were risk factors for both types of IPV, whereas social support was protective. To our knowledge, this is one of the first studies to examine how neighborhood social factors influence IPV outcomes in refugee-hosting communities or in South America. As the world grapples with the largest number of displaced people in history, this research can inform prevention and response programming and reinforces the critical importance of promoting acceptance of refugees and immigrants and positively engaging all community members in civic life in refugee-hosting settings.."
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 = [1];
Q6 = [1].
Love in the Time of War: Identifying Neighborhood-level Predictors of Intimate Partner Violence from a Longitudinal Study in Refugee-hosting Communities
A high prevalence of intimate partner violence (IPV) has been documented among women living in conflict-affected and refugee-hosting areas, but why this occurs is not well understood. Conflict and displacement deteriorate communities' social cohesion and community connectedness; these neighborhood social environments may influence individual IPV outcomes. We explored neighborhood-level social disorganization and cohesion as predictors of recent IPV in refugee-hosting communities in northern Ecuador by conducting multi-level logistic regression on a longitudinal sample of 1,312 women. Neighborhood social disorganization was marginally positively associated with emotional IPV (AOR: 1.17, 95% CI: .99, 1.38) and physical and/or sexual IPV (AOR: 1.20, 95% CI: .96, 1.51). This was partially mediated by neighborhood-level civic engagement in the case of emotional IPV. At the household level, perceived discrimination and experience of psychosocial stressors were risk factors for both types of IPV, whereas social support was protective. To our knowledge, this is one of the first studies to examine how neighborhood social factors influence IPV outcomes in refugee-hosting communities or in South America. As the world grapples with the largest number of displaced people in history, this research can inform prevention and response programming and reinforces the critical importance of promoting acceptance of refugees and immigrants and positively engaging all community members in civic life in refugee-hosting settings.