Project Collection "A Million Person Household Survey: Understanding the Burden of Injuries in Bangladesh"
A project collection of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This project collection belongs to the section "Global Health".
Papers displayed on this page all arise from the same project. Editorial decisions were made independently of project staff and handled by the Editor-in-Chief or qualified Editorial Board members.
A printed edition of this Special Issue is available here.
The Johns Hopkins International Injury Research Unit (JH-IIRU) at the Johns Hopkins Bloomberg School of Public Health is initiating a Project Collection on the epidemiology of fatal and non-fatal injuries in Bangladesh, based on a survey of 1.2 million people.
With support from the Bloomberg Philanthropies, JH-IIRU, in collaboration with two partners in Bangladesh—the Center for Injury Prevention and Research and the International Center for Diarrheal Disease Research—is conducting a large-scale, child-injuries prevention project called “Saving of Lives from Drowning” (SoLiD) in Bangladesh. The study involves active injury and demographic surveillance for about 1.2 million people, and the implementation of two childhood drowning prevention interventions (playpens and crèches). The SoLiD project also includes a baseline survey that was conducted in 2013 in seven rural sub-districts of Bangladesh to collect demographic and epidemiological data on all injury and non-injury outcomes (both fatal and non-fatal) for the 1.2 million people under surveillance.
The baseline survey is one of the largest injury surveys in the world and provides unique knowledge on the burden, epidemiology, and consequences of different mechanisms of injury in Bangladesh across all demographic profiles. The project collection will present various descriptive epidemiologies and burden analyses on different types of injuries using the rich survey data. Unlike similar studies that have looked at injuries through health facility-based data, the use of extensive population-based data is likely to yield accurate estimates and capture other injury outcomes that do not necessarily present at the health facility level. This body of work will contribute to efforts to accurately estimate the global burden of diseases and will contribute to injury prevention across all demographic profiles in low- and middle-income countries.
The project collaborators are exclusively contributing the Project Collection.
Prof. Dr. Adnan A. Hyder
Dr. Olakunle Alonge
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- road traffic injuries
- cost effectiveness
- cognitive assessment
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