Using health and demographic surveillance for the early detection of cholera outbreaks: analysis of community- and hospital-based data from Matlab, Bangladesh

Using health and demographic surveillance for the early detection of cholera outbreaks: analysis of community- and hospital-based data from Matlab, Bangladesh

Background: Cholera outbreaks are a continuing problem in Bangladesh, and the timely detection of an outbreak is important for reducing morbidity and mortality. In Matlab, the ongoing Health and Demographic Surveillance System (HDSS) data records symptoms of diarrhea in children under the age of 5 y...

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Bibliographic Details
Main Authors: Dell D. Saulnier, Lars-Åke Persson, Peter Kim Streatfield, A. S. G. Faruque, Anisur Rahman
Format: Article
Language:English
Published: Taylor & Francis Group 2016-05-01
Series:Global Health Action
Subjects:
syndromic surveillance
early warning
EARS
Online Access:http://www.globalhealthaction.net/index.php/gha/article/view/30834/pdf_220

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