Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea

The numbers of patients with cholera and Aeromonas-positive diarrhoea show similar bimodal seasonality in Dhaka, Bangladesh. Considering the association between these two pathogens, our previous finding that the number of cholera cases increased following the period of high rainfall led us to invest...

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Main Authors: Hashizume, M., Faruque, A., Dewan, Ashraf
Other Authors: Ashraf Dewan
Format: Book Chapter
Published: Springer Geography 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/30880
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author Hashizume, M.
Faruque, A.
Dewan, Ashraf
author2 Ashraf Dewan
author_facet Ashraf Dewan
Hashizume, M.
Faruque, A.
Dewan, Ashraf
author_sort Hashizume, M.
building Curtin Institutional Repository
collection Online Access
description The numbers of patients with cholera and Aeromonas-positive diarrhoea show similar bimodal seasonality in Dhaka, Bangladesh. Considering the association between these two pathogens, our previous finding that the number of cholera cases increased following the period of high rainfall led us to investigate the potential role of rainfall on the transmission of Aeromonas-positive diarrhoea. This study quantifies the impact of rainfall on the number of cases of Aeromonas-positive diarrhoea, to gain a deeper insight into the mechanisms of the seasonality of the disease. We examined a time series of the number of hospital visits due to Aeromonas-positive diarrhoea per week in relation to weekly rainfall from 1996 to 2000, using Poisson regression models and adjusting for seasonal and between-year variation, public holidays and temperature. The weekly number of cholera cases increased by 20.7 % (95 % confidence interval, 10.6–31.6) for a 10-mm increase in average rainfall over lags of 0–16 weeks. There was no clear relationship between the number of cases and river level or temperature.
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spelling curtin-20.500.11937-308802023-02-13T08:01:33Z Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea Hashizume, M. Faruque, A. Dewan, Ashraf Ashraf Dewan Robert Corner Diarrhoea Aeromonas Rainfall Climate Time-series analysis The numbers of patients with cholera and Aeromonas-positive diarrhoea show similar bimodal seasonality in Dhaka, Bangladesh. Considering the association between these two pathogens, our previous finding that the number of cholera cases increased following the period of high rainfall led us to investigate the potential role of rainfall on the transmission of Aeromonas-positive diarrhoea. This study quantifies the impact of rainfall on the number of cases of Aeromonas-positive diarrhoea, to gain a deeper insight into the mechanisms of the seasonality of the disease. We examined a time series of the number of hospital visits due to Aeromonas-positive diarrhoea per week in relation to weekly rainfall from 1996 to 2000, using Poisson regression models and adjusting for seasonal and between-year variation, public holidays and temperature. The weekly number of cholera cases increased by 20.7 % (95 % confidence interval, 10.6–31.6) for a 10-mm increase in average rainfall over lags of 0–16 weeks. There was no clear relationship between the number of cases and river level or temperature. 2013 Book Chapter http://hdl.handle.net/20.500.11937/30880 10.1007/978-94-007-6735-5_18 Springer Geography restricted
spellingShingle Diarrhoea
Aeromonas
Rainfall
Climate
Time-series analysis
Hashizume, M.
Faruque, A.
Dewan, Ashraf
Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea
title Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea
title_full Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea
title_fullStr Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea
title_full_unstemmed Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea
title_short Rainfall Dependence of Hospital Visits of Aeromonas-Positive Diarrhoea
title_sort rainfall dependence of hospital visits of aeromonas-positive diarrhoea
topic Diarrhoea
Aeromonas
Rainfall
Climate
Time-series analysis
url http://hdl.handle.net/20.500.11937/30880