Spatial and Temporal Patterns of Diarrheal Disease in Matlab, Bangladesh

Bibliographic Data

ID4140712
AuthorsMichael Emch (0000-0003-2642-965X, University of Northern Iowa, corresponding author), Mohammad Ali (0000-0003-1410-388X, International Centre for Diarrhoeal Disease Research, corresponding author)
Year2001
Volume33
Issue2
Pages339-350
Publication date2001-02-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a33132
OpenAlexW2064796810
LanguageEN
Citations received5
References cited18

This study analyzes the differences between the spatial and temporal patterns of cholera and noncholera watery diarrhea in rural Bangladesh. Several characteristics were observed in the temporal distribution of 1273 cholera cases and 4984 noncholera watery diarrhea cases, revealing differences between the temporal patterns of the two disease categories. The main cholera peaks were in September and October in each of the three study years. There was an irregular temporal cycle to noncholera watery diarrhea. There were many small, highly dispersed high-risk areas for cholera. In contrast, the high-risk areas for noncholera are clustered in only a few areas. These findings are also consistent with the theory that cholera is a disease for which the spatial distribution is partly controlled by environmental parameters whereas noncholera disease transmission is controlled by other nonenvironmental parameters

Cholera · Diarrhea · Diarrheal disease · Disease · Environmental health · Geography · Pathology · Remote sensing · Spatial distribution · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Vibrio bacteria research studies · Virology

Tools

Open DOISci-Hub