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1.
Am J Epidemiol ; 2024 Jul 19.
Article in English | MEDLINE | ID: mdl-39038796

ABSTRACT

Mental health effects are frequently reported following natural disasters. However, little is known about effects of living in a hazard-prone region on mental health. We analyzed data from 9,312 Gulf Long-term Follow-up Study participants who completed standardized mental health questionnaires including the Patient Health Questionnaire-9 (depression=score≥10), Generalized Anxiety Disorder Questionnaire-7 (anxiety=score≥10), and Primary Care PTSD Screen (PTSD=score≥3). Geocoded residential addresses were linked to census-tract level natural hazard risk scores estimated using the National Risk Index (NRI). We considered an overall risk score representing 18 natural hazards, and individual scores for hurricanes, heatwaves, coastal flooding and riverine flooding. Log binomial regression estimated prevalence ratios (PR) and 95% confidence intervals (CI) for associations between risk scores (quartiles) and mental health outcomes. Increasing hurricane and coastal flooding scores were associated with all mental health outcomes in a suggestive exposure-response manner. Associations were strongest for PTSD, with PRs for the highest vs. lowest quartile of hurricane and coastal flooding risks of 2.29(1.74-3.01) and 1.59(1.23-2.05), respectively. High heatwave risk was associated with anxiety (PR=1.25(1.12-1.38)) and depression (PR=1.19(1.04-1.36)) and suggestively with PTSD (PR=1.20(0.94-1.52)). Results suggest that living in areas prone to natural disasters is one factor associated with poor mental health status.

2.
J Expo Sci Environ Epidemiol ; 31(5): 842-851, 2021 09.
Article in English | MEDLINE | ID: mdl-33603095

ABSTRACT

BACKGROUND: Individuals affected by disasters are at risk for adverse mental health sequelae. Individuals living in the US Gulf Coast have experienced many recent major disasters, but few studies have explored the cumulative burden of experiencing multiple disasters on mental health. OBJECTIVE: The objective of this study was to evaluate the relationship between disaster burden and mental health. METHODS: We used data from 9278 Gulf Long-term Follow-up Study participants who completed questionnaires on perceived stress, anxiety, depression, and post-traumatic stress disorder (PTSD) in 2011-2013. We linked 2005-2010 county-level data from the Spatial Hazard Events and Losses Database for the United States, a database of loss-causing events, to participant's home address. Exposure measures included total count of loss events as well as severity quantified as property/crop losses per capita from all hazards. We used multilevel modeling to estimate odds ratios (OR) and 95% confidence intervals (CI) for each exposure-outcome relationship. RESULTS: Total count of loss events was positively associated with perceived stress (ORQ4:1.40, 95% CI:1.21-1.61) and was inversely associated with PTSD (ORQ4:0.66, 95% CI:0.45-0.96). Total duration of exposure was also associated with stress (ORQ4:1.16, 95% CI:1.01-1.33) but not with other outcomes. Severity based on cumulative fatalities/injuries was associated with anxiety (ORQ4:1.31, 95% CI:1.05-1.63) and stress (ORQ4:1.34, 95% CI:1.15-1.57), and severity based on cumulative property/crop losses was associated with anxiety (ORQ4:1.42, 95% CI:1.12-1.81), depression (ORQ4:1.22, 95% CI:0.95-1.57) and PTSD (ORQ4:1.99, 95% CI:1.44-2.76).


Subject(s)
Disasters , Stress Disorders, Post-Traumatic , Anxiety Disorders , Follow-Up Studies , Humans , Mental Health , Stress Disorders, Post-Traumatic/epidemiology , United States/epidemiology
3.
J Appl Anim Welf Sci ; 15(3): 236-53, 2012.
Article in English | MEDLINE | ID: mdl-22742200

ABSTRACT

This article reports the first known study on dogs in Port-au-Prince. Interviews with 1,290 residents provided information on 1,804 dogs. More than 57.7% of homes kept dogs. Not all the dogs received vaccinations for rabies (41.6%), even though 28.2% of households had had a household member bitten by a dog. Although the "owned" dog population had decreased as a result of the earthquake in January 2010, the number of roaming dogs appeared to have been uninfluenced by the disaster. Given that 64.8% of dogs probably had access to the street and only 6.0% of the females were spayed, to humanely contain the dog population will require both confinement and neutering. Although roaming dogs were considered a nuisance by 63.3% of respondents, 42.6% of households fed dogs they did not own.


Subject(s)
Animal Welfare , Dogs , Pets , Animal Welfare/statistics & numerical data , Animals , Attitude , Bites and Stings/epidemiology , Data Collection , Disasters , Earthquakes , Female , Haiti , Male , Rabies/prevention & control , Rabies/veterinary
4.
Disasters ; 28(1): 82-97, 2004 Mar.
Article in English | MEDLINE | ID: mdl-15016107

ABSTRACT

This paper, through spatial-analysis techniques, examines the accessibility of emergency shelters for vulnerable populations, and outlines the benefits of an extended and permanently established shelter network in central Mozambique. The raster-based modelling approach considers data on land cover, locations of accommodation centres in 2000, settlements and infrastructure. The shelter analysis is a two-step process determining access for vulnerable communities first, followed by a suitability analysis for additional emergency shelter sites. The results indicate the need for both retrofitting existing infrastructure (schools, health posts) to function as shelters during an emergency, and constructing new facilities - at best multi-purpose facilities that can serve as social infrastructure and shelter. Besides assessing the current situation in terms of availability and accessibility of emergency shelters, this paper provides an example of evaluating the effectiveness of humanitarian assistance without conventional mechanisms like food tonnage and number of beneficiaries.


Subject(s)
Decision Support Techniques , Disasters , Emergencies , Housing , Community Networks , Geographic Information Systems , Health Services Accessibility , Housing/classification , Housing/statistics & numerical data , Humans , Mozambique , Poverty , Relief Work , Rural Population
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