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Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study
BACKGROUND: While floods can potentially increase the transmission of dengue, only few studies have reported the association of dengue epidemics with flooding. We estimated the effects of river levels and rainfall on the hospital admissions for dengue fever at 11 major hospitals in Dhaka, Bangladesh...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3528427/ https://www.ncbi.nlm.nih.gov/pubmed/22530873 http://dx.doi.org/10.1186/1471-2334-12-98 |
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author | Hashizume, Masahiro Dewan, Ashraf M Sunahara, Toshihiko Rahman, M Ziaur Yamamoto, Taro |
author_facet | Hashizume, Masahiro Dewan, Ashraf M Sunahara, Toshihiko Rahman, M Ziaur Yamamoto, Taro |
author_sort | Hashizume, Masahiro |
collection | PubMed |
description | BACKGROUND: While floods can potentially increase the transmission of dengue, only few studies have reported the association of dengue epidemics with flooding. We estimated the effects of river levels and rainfall on the hospital admissions for dengue fever at 11 major hospitals in Dhaka, Bangladesh. METHODS: We examined time-series of the number of hospital admissions of dengue fever in relation to river levels from 2005 to 2009 using generalized linear Poisson regression models adjusting for seasonal, between-year variation, public holidays and temperature. RESULTS: There was strong evidence for an increase in dengue fever at high river levels. Hospitalisations increased by 6.9% (95% CI: 3.2, 10.7) for each 0.1 metre increase above a threshold (3.9 metres) for the average river level over lags of 0–5 weeks. Conversely, the number of hospitalisations increased by 29.6% (95% CI: 19.8, 40.2) for a 0.1 metre decrease below the same threshold of the average river level over lags of 0–19 weeks. CONCLUSIONS: Our findings provide evidence that factors associated with both high and low river levels increase the hospitalisations of dengue fever cases in Dhaka. |
format | Online Article Text |
id | pubmed-3528427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35284272013-01-03 Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study Hashizume, Masahiro Dewan, Ashraf M Sunahara, Toshihiko Rahman, M Ziaur Yamamoto, Taro BMC Infect Dis Research Article BACKGROUND: While floods can potentially increase the transmission of dengue, only few studies have reported the association of dengue epidemics with flooding. We estimated the effects of river levels and rainfall on the hospital admissions for dengue fever at 11 major hospitals in Dhaka, Bangladesh. METHODS: We examined time-series of the number of hospital admissions of dengue fever in relation to river levels from 2005 to 2009 using generalized linear Poisson regression models adjusting for seasonal, between-year variation, public holidays and temperature. RESULTS: There was strong evidence for an increase in dengue fever at high river levels. Hospitalisations increased by 6.9% (95% CI: 3.2, 10.7) for each 0.1 metre increase above a threshold (3.9 metres) for the average river level over lags of 0–5 weeks. Conversely, the number of hospitalisations increased by 29.6% (95% CI: 19.8, 40.2) for a 0.1 metre decrease below the same threshold of the average river level over lags of 0–19 weeks. CONCLUSIONS: Our findings provide evidence that factors associated with both high and low river levels increase the hospitalisations of dengue fever cases in Dhaka. BioMed Central 2012-04-24 /pmc/articles/PMC3528427/ /pubmed/22530873 http://dx.doi.org/10.1186/1471-2334-12-98 Text en Copyright ©2012 Hashizume et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hashizume, Masahiro Dewan, Ashraf M Sunahara, Toshihiko Rahman, M Ziaur Yamamoto, Taro Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study |
title | Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study |
title_full | Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study |
title_fullStr | Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study |
title_full_unstemmed | Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study |
title_short | Hydroclimatological variability and dengue transmission in Dhaka, Bangladesh: a time-series study |
title_sort | hydroclimatological variability and dengue transmission in dhaka, bangladesh: a time-series study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3528427/ https://www.ncbi.nlm.nih.gov/pubmed/22530873 http://dx.doi.org/10.1186/1471-2334-12-98 |
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