Cargando…
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...
Autores principales: | Saulnier, Dell D., Persson, Lars-Åke, Streatfield, Peter Kim, Faruque, A. S. G., Rahman, Anisur |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Co-Action Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871895/ https://www.ncbi.nlm.nih.gov/pubmed/27193264 http://dx.doi.org/10.3402/gha.v9.30834 |
Ejemplares similares
-
Familial Aggregation of Vibrio cholerae-associated Infection in Matlab, Bangladesh
por: Rahman, Kazi Mizanur, et al.
Publicado: (2009) -
Distribution of cause of death in rural Bangladesh during 2003–2010: evidence from two rural areas within Matlab Health and Demographic Surveillance site
por: Alam, Nurul, et al.
Publicado: (2014) -
Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014
por: Rahman, Anisur, et al.
Publicado: (2019) -
Cohort Profile: The Maternal and Infant Nutrition Interventions in Matlab (MINIMat) cohort in Bangladesh
por: Arifeen, Shams El, et al.
Publicado: (2018) -
Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh
por: Sohel, Nazmul, et al.
Publicado: (2010)