Rotavirus infections and climate variability in Dhaka, Bangladesh: a time-series analysis.


Hashizume, M; Armstrong, B; Wagatsuma, Y; Faruque, AS; Hayashi, T; Sack, DA; (2007) Rotavirus infections and climate variability in Dhaka, Bangladesh: a time-series analysis. Epidemiology and infection, 136 (9). pp. 1281-9. ISSN 0950-2688 DOI: 10.1017/S0950268807009776

[img]
Preview
Text - Published Version
License: Copyright the publishers

Download (234Kb) | Preview

Abstract

Attempts to explain the clear seasonality of rotavirus infections have been made by relating disease incidence to climate factors; however, few studies have disentangled the effects of weather from other factors that might cause seasonality. We investigated the relationships between hospital visits for rotavirus diarrhoea and temperature, humidity and river level, in Dhaka, Bangladesh, using time-series analysis adjusting for other confounding seasonal factors. There was strong evidence for an increase in rotavirus diarrhoea at high temperatures, by 40.2% for each 1 degrees C increase above a threshold (29 degrees C). Relative humidity had a linear inverse relationship with the number of cases of rotavirus diarrhoea. River level, above a threshold (4.8 m), was associated with an increase in cases of rotavirus diarrhoea, by 5.5% per 10-cm river-level rise. Our findings provide evidence that factors associated with high temperature, low humidity and high river-level increase the incidence of rotavirus diarrhoea in Dhaka.

Item Type: Article
Faculty and Department: Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
PubMed ID: 17988426
Web of Science ID: 259332400018
URI: http://researchonline.lshtm.ac.uk/id/eprint/8639

Statistics


Download activity - last 12 months
Downloads since deposit
227Downloads
298Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months
Impact and interest
Additional statistics for this record are available via IRStats2

Actions (login required)

Edit Item Edit Item