The impact of environmental and climatic variation on the spatiotemporal trends of hospitalized pediatric diarrhea in Ho Chi Minh City, Vietnam

  • It is predicted that the integration of climate-based early warning systems into existing action plans will facilitate the timely provision of interventions to diarrheal disease epidemics in resource-poor settings. Diarrhea remains a considerable public health problem in Ho Chi Minh City (HCMC), Vietnam and we aimed to quantify variation in the impact of environmental conditions on diarrheal disease risk across the city. Using all inpatient diarrheal admissions data from three large hospitals within HCMC, we developed a mixed effects regression model to differentiate district-level variation in risk due to environmental conditions from the overarching seasonality of diarrheal disease hospitalization in HCMC. We identified considerable spatial heterogeneity in the risk of all-cause diarrhea across districts of HCMC with low elevation and differential responses to flooding, air temperature, and humidity driving further spatial heterogeneity in diarrheal disease risk. The incorporation of these results into predictive forecastingIt is predicted that the integration of climate-based early warning systems into existing action plans will facilitate the timely provision of interventions to diarrheal disease epidemics in resource-poor settings. Diarrhea remains a considerable public health problem in Ho Chi Minh City (HCMC), Vietnam and we aimed to quantify variation in the impact of environmental conditions on diarrheal disease risk across the city. Using all inpatient diarrheal admissions data from three large hospitals within HCMC, we developed a mixed effects regression model to differentiate district-level variation in risk due to environmental conditions from the overarching seasonality of diarrheal disease hospitalization in HCMC. We identified considerable spatial heterogeneity in the risk of all-cause diarrhea across districts of HCMC with low elevation and differential responses to flooding, air temperature, and humidity driving further spatial heterogeneity in diarrheal disease risk. The incorporation of these results into predictive forecasting algorithms will provide a powerful resource to aid diarrheal disease prevention and control practices in HCMC and other similar settings.show moreshow less

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author: Corinne N. Thompson, Jonathan L. Zelner, Tran Do Hoang Nhu, Vu Tra My Phan, Hoang Le Phuc, Nguyen Thanh Hung, Vu Thuy Duong, Minh Nguyen Ngoc, Ha Manh Tuan, Van Hoang Minh Tu, Lu Lan Vi, Nguyen Van Vinh Chau, Tran Tinh Hien, Emmiliese von Clemm, Harry Storch, Guy Thwaites, Bryan T. Grenfell, Stephen Baker
URL:http://www.sciencedirect.com/science/article/pii/S1353829215001094
DOI:https://doi.org/10.1016/j.healthplace.2015.08.001
ISSN:1353-8292
Title of the source (English):Health & Place
Document Type:Scientific journal article peer-reviewed
Language:English
Year of publication:2015
Issue number:35
First Page:147
Last Page:154
Faculty/Chair:Fakultät 2 Umwelt und Naturwissenschaften / FG Umweltplanung
Institution name at the time of publication:Fakultät für Umweltwissenschaften und Verfahrenstechnik (eBTU) / LS Umweltplanung
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.