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A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh
BACKGROUND: A stationary (i.e., constant through time) association between El Niño 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 transmissi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612031/ https://www.ncbi.nlm.nih.gov/pubmed/23555861 http://dx.doi.org/10.1371/journal.pone.0060001 |
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author | Hashizume, Masahiro Chaves, Luis Fernando Faruque, A. S. G. Yunus, Md Streatfield, Kim Moji, Kazuhiko |
author_facet | Hashizume, Masahiro Chaves, Luis Fernando Faruque, A. S. G. Yunus, Md Streatfield, Kim Moji, Kazuhiko |
author_sort | Hashizume, Masahiro |
collection | PubMed |
description | BACKGROUND: A stationary (i.e., constant through time) association between El Niño 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. |
format | Online Article Text |
id | pubmed-3612031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36120312013-04-03 A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh Hashizume, Masahiro Chaves, Luis Fernando Faruque, A. S. G. Yunus, Md Streatfield, Kim Moji, Kazuhiko PLoS One Research Article BACKGROUND: A stationary (i.e., constant through time) association between El Niño 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. Public Library of Science 2013-03-29 /pmc/articles/PMC3612031/ /pubmed/23555861 http://dx.doi.org/10.1371/journal.pone.0060001 Text en © 2013 Hashizume et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Hashizume, Masahiro Chaves, Luis Fernando Faruque, A. S. G. Yunus, Md Streatfield, Kim Moji, Kazuhiko A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh |
title | A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh |
title_full | A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh |
title_fullStr | A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh |
title_full_unstemmed | A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh |
title_short | A Differential Effect of Indian Ocean Dipole and El Niño on Cholera Dynamics in Bangladesh |
title_sort | differential effect of indian ocean dipole and el niño on cholera dynamics in bangladesh |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612031/ https://www.ncbi.nlm.nih.gov/pubmed/23555861 http://dx.doi.org/10.1371/journal.pone.0060001 |
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