A Differential Effect of Indian Ocean Dipole and El Nino on Cholera Dynamics in Bangladesh

被引:17
作者
Hashizume, Masahiro [1 ,2 ]
Fernando Chaves, Luis [1 ,2 ,3 ]
Faruque, A. S. G. [4 ]
Yunus, Md [4 ]
Streatfield, Kim [4 ]
Moji, Kazuhiko [5 ]
机构
[1] Nagasaki Univ, Inst Trop Med NEKKEN, Nagasaki 852, Japan
[2] Nagasaki Univ, Global Ctr Excellence Program, Nagasaki 852, Japan
[3] Univ Nacl, Programa Invest Enfermedades Trop, Escuela Med Vet, Heredia, Costa Rica
[4] Int Ctr Diarrhoeal Dis Res, Dhaka 1000, Bangladesh
[5] Res Inst Humanity & Nat, Kyoto, Japan
基金
日本学术振兴会;
关键词
VIBRIO-CHOLERAE; INFECTIOUS-DISEASE; CLIMATE-VARIABILITY; MALARIA EPIDEMICS; WAVELET ANALYSIS; ENDEMIC CHOLERA; GLOBAL CLIMATE; ENSO; RAINFALL; MODE;
D O I
10.1371/journal.pone.0060001
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
Background: A stationary (i.e., constant through time) association between El Nino Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD) and epidemics of cholera in Bangladesh has been widely assumed. However, whether or not elements of the local climate that are relevant for cholera transmission have stationary signatures of the IOD on their dynamics over different time scales is still not clear. Here we report results on the time-varying relationships between the various remote and local environmental drivers and cholera incidence in Bangladesh. Methodology/Principal Findings: We performed a cross wavelet coherency analysis to examine patterns of association between monthly cholera cases in the hospitals in Dhaka and Matlab (1983-2008) and indices for both IOD and ENSO. Our results showed that the strength of both the IOD and ENSO associations with cholera hospitalizations changed across time scales during the study period. In Dhaka, 4-year long coherent cycles were observed between cholera and the index of IOD in 1988-1997. In Matlab, the effect of ENSO was more dominant while there was no evidence for an IOD effect on cholera hospitalizations. Conclusions/Significance: Our results call for the consideration of non-stationary, possibly non-linear, patterns of association between cholera hospitalizations and climatic factors in cholera epidemic early warning systems.
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页数:11
相关论文
共 60 条
[1]   Response to malaria epidemics in Africa [J].
Abeku, Tarekegn A. .
EMERGING INFECTIOUS DISEASES, 2007, 13 (05) :681-686
[2]   Indian Ocean Dipole modulates the number of extreme rainfall events over India in a warming environment [J].
Ajayamohan, R. S. ;
Rao, Suryachandra A. .
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2008, 86 (01) :245-252
[3]   Hydroclimatic influences on seasonal and spatial cholera transmission cycles: Implications for public health intervention in the Bengal Delta [J].
Akanda, Ali Shafqat ;
Jutla, Antarpreet S. ;
Alam, Munirul ;
de Magny, Guillaume Constantin ;
Siddique, A. Kasem ;
Sack, R. Bradley ;
Huq, Anwar ;
Colwell, Rita R. ;
Islam, Shafiqul .
WATER RESOURCES RESEARCH, 2011, 47
[4]   Dual peak cholera transmission in Bengal Delta: A hydroclimatological explanation [J].
Akanda, Ali Shafqat ;
Jutla, Antarpreet Singh ;
Islam, Shafiqul .
GEOPHYSICAL RESEARCH LETTERS, 2009, 36
[5]   Coupled dynamics over the Indian Ocean: spring initiation of the Zonal Mode [J].
Annamalai, H ;
Murtugudde, R ;
Potemra, J ;
Xie, SP ;
Liu, P ;
Wang, B .
DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 2003, 50 (12-13) :2305-2330
[6]  
[Anonymous], 2005, US CLIM PRED INF DIS
[7]  
[Anonymous], 2020, emdbook: Ecological Models and Data in R, DOI DOI 10.2307/J.CTVCM4G37.7
[8]  
Ashok K, 2004, J CLIMATE, V17, P3141, DOI 10.1175/1520-0442(2004)017<3141:IACIOE>2.0.CO
[9]  
2
[10]   Impact of the Indian Ocean Dipole on the relationship between the Indian monsoon rainfall and ENSO [J].
Ashok, K ;
Guan, ZY ;
Yamagata, T .
GEOPHYSICAL RESEARCH LETTERS, 2001, 28 (23) :4499-4502