TY - JOUR
T1 - Environmental signatures associated with cholera epidemics
AU - De Magny, Guillaume Constantin
AU - Murtugudde, Raghu
AU - Sapiano, Mathew R.P.
AU - Nizam, Azhar
AU - Brown, Christopher W.
AU - Busalacchi, Antonio J.
AU - Yunus, Mohammad
AU - Nair, G. Balakrish
AU - Gil, Ana I.
AU - Lanata, Claudio F.
AU - Calkins, John
AU - Manna, Byomkesh
AU - Rajendran, Krishnan
AU - Bhattacharya, Mihir Kumar
AU - Huq, Anwar
AU - Sack, R. Bradley
AU - Colwell, Rita R.
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2008/11/18
Y1 - 2008/11/18
N2 - The causative agent of cholera, Vibrio cholerae, has been shown to be autochthonous to riverine, estuarine, and coastal waters along with its host, the copepod, a significant member of the zooplankton community. Temperature, salinity, rainfall and plankton have proven to be important factors in the ecology of V. cholerae, influencing the transmission of the disease in those regions of the world where the human population relies on untreated water as a source of drinking water. In this study, the pattern of cholera outbreaks during 1998-2006 in Kolkata, India, and Matlab, Bangladesh, and the earth observation data were analyzed with the objective of developing a prediction model for cholera. Satellite sensors were used to measure chlorophyll a concentration (CHL) and sea surface temperature (SST). In addition, rainfall data were obtained from both satellite and in situ gauge measurements. From the analyses, a statistically significant relationship between the time series for cholera in Kolkata, India, and CHL and rainfall anomalies was determined. A statistically significant one month lag was observed between CHL anomaly and number of cholera cases in Matlab, Bangladesh. From the results of the study, it is concluded that ocean and climate patterns are useful predictors of cholera epidemics, with the dynamics of endemic cholera being related to climate and/or changes in the aquatic ecosystem. When the ecology of V. cholerae is considered in predictive models, a robust early warning system for cholera in endemic regions of the world can be developed for public health planning and decision making.
AB - The causative agent of cholera, Vibrio cholerae, has been shown to be autochthonous to riverine, estuarine, and coastal waters along with its host, the copepod, a significant member of the zooplankton community. Temperature, salinity, rainfall and plankton have proven to be important factors in the ecology of V. cholerae, influencing the transmission of the disease in those regions of the world where the human population relies on untreated water as a source of drinking water. In this study, the pattern of cholera outbreaks during 1998-2006 in Kolkata, India, and Matlab, Bangladesh, and the earth observation data were analyzed with the objective of developing a prediction model for cholera. Satellite sensors were used to measure chlorophyll a concentration (CHL) and sea surface temperature (SST). In addition, rainfall data were obtained from both satellite and in situ gauge measurements. From the analyses, a statistically significant relationship between the time series for cholera in Kolkata, India, and CHL and rainfall anomalies was determined. A statistically significant one month lag was observed between CHL anomaly and number of cholera cases in Matlab, Bangladesh. From the results of the study, it is concluded that ocean and climate patterns are useful predictors of cholera epidemics, with the dynamics of endemic cholera being related to climate and/or changes in the aquatic ecosystem. When the ecology of V. cholerae is considered in predictive models, a robust early warning system for cholera in endemic regions of the world can be developed for public health planning and decision making.
KW - Ecology
KW - Epidemiology
KW - Microbiology
KW - Remote sensing
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UR - http://www.scopus.com/inward/citedby.url?scp=56649103838&partnerID=8YFLogxK
U2 - 10.1073/pnas.0809654105
DO - 10.1073/pnas.0809654105
M3 - Article
C2 - 19001267
AN - SCOPUS:56649103838
VL - 105
SP - 17676
EP - 17681
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 46
ER -