Publication:
Assessing Weather Effects on Dengue Disease in Malaysia

dc.contributor.authorYoon Cheong
dc.contributor.authorKatrin Burkart
dc.contributor.authorPedro Leitão
dc.contributor.authorTobia Lakes
dc.date.accessioned2025-01-22T01:32:42Z
dc.date.available2025-01-22T01:32:42Z
dc.date.issued2013
dc.description.abstractThe number of dengue cases has been increasing on a global level in recent years, and particularly so in Malaysia, yet little is known about the effects of weather for identifying the short-term risk of dengue for the population. The aim of this paper is to estimate the weather effects on dengue disease accounting for non-linear temporal effects in Selangor, Kuala Lumpur and Putrajaya, Malaysia, from 2008 to 2010. We selected the weather parameters with a Poisson generalized additive model, and then assessed the effects of minimum temperature, bi-weekly accumulated rainfall and wind speed on dengue cases using a distributed non-linear lag model while adjusting for trend, day-of-week and week of the year. We found that the relative risk of dengue cases is positively associated with increased minimum temperature at a cumulative percentage change of 11.92% (95% CI: 4.41–32.19), from 25.4 °C to 26.5 °C, with the highest effect delayed by 51 days. Increasing bi-weekly accumulated rainfall had a positively strong effect on dengue cases at a cumulative percentage change of 21.45% (95% CI: 8.96, 51.37), from 215 mm to 302 mm, with the highest effect delayed by 26–28 days. The wind speed is negatively associated with dengue cases. The estimated lagged effects can be adapted in the dengue early warning system to assist in vector control and prevention plan.
dc.identifier.doihttp://dx.doi.org/10.3390/ijerph10126319
dc.identifier.urihttps://repository.nih.gov.my/handle/123456789/1382
dc.language.isoen
dc.relation.ispartofInternational Journal of Environmental Research and Public Health
dc.relation.issn1660-4601
dc.relation.journalInternational Journal of Environmental Research and Public Health
dc.subjectDengue risk
dc.subjectWeather effects
dc.subjectTime-lag effects
dc.subjectGeneralized additive model (GAM)
dc.subjectDistributed non-linear lag model (DLNM)
dc.subjectTime series analysis
dc.titleAssessing Weather Effects on Dengue Disease in Malaysia
dc.typejournal-article
dspace.entity.typePublication
oaire.citation.endPage6334
oaire.citation.issue12
oaire.citation.startPage6319
oaire.citation.volume10
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
IMR00258_Full.pdf
Size:
868.17 KB
Format:
Adobe Portable Document Format
Description:
Loading...
Thumbnail Image
Name:
IMR00258_Preview.pdf
Size:
121.47 KB
Format:
Adobe Portable Document Format
Description: