Environmental signatures associated with cholera epidemics

被引:201
作者
de Magny, Guillaume Constantin [1 ]
Murtugudde, Raghu [2 ]
Sapiano, Mathew R. P. [2 ]
Nizam, Azhar [4 ]
Brown, Christopher W. [2 ,5 ]
Busalacchi, Antonio J. [2 ]
Yunus, Mohammad [6 ]
Nair, G. Balakrish [7 ]
Gil, Ana I. [8 ]
Lanata, Claudio F. [8 ,9 ]
Calkins, John [10 ]
Manna, Byomkesh [7 ]
Rajendran, Krishnan [7 ]
Bhattacharya, Mihir Kumar [7 ]
Huq, Anwar [3 ]
Sack, R. Bradley [11 ]
Colwell, Rita R. [1 ,3 ,12 ]
机构
[1] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA
[2] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
[3] Univ Maryland, Maryland Pathogen Res Inst, Coll Chem & Life Sci, College Pk, MD 20742 USA
[4] Emory Univ, Rollins Sch Publ Hlth, Dept Biostat, Atlanta, GA 30329 USA
[5] Natl Ocean & Atmospher Adm, Satellite Climate Studies Branch, College Pk, MD 20742 USA
[6] Int Ctr Diarrhoeal Dis Res, Dhaka 1000, Bangladesh
[7] Natl Inst Cholera & Enter Dis, Kolkata 700010, India
[8] Inst Invest Nutr, Lima 12, Peru
[9] Univ Peruana Ciencias Aplicadas, Sch Med, Lima 12, Peru
[10] Environm Syst Res Inst Inc, Vienna, VA 22182 USA
[11] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD 21205 USA
[12] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Environm Hlth, Baltimore, MD 21205 USA
基金
美国海洋和大气管理局; 美国国家卫生研究院;
关键词
ecology; epidemiology; microbiology; remote sensing;
D O I
10.1073/pnas.0809654105
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 19982006 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.
引用
收藏
页码:17676 / 17681
页数:6
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