Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103884
Title: Statistical modeling reveals the effect of absolute humidity on dengue in Singapore
Authors: Xu, Hai-Yan
Fu, Xiuju
Lee, Lionel Kim Hock
Ma, Stefan
Goh, Kee Tai
Wong, Jiancheng
Habibullah, Mohamed Salahuddin
Lee, Gary Kee Khoon
Lim, Tian Kuay
Tambyah, Paul Anantharajah
Lim, Chin Leong
Ng, Lee Ching
Keywords: DRNTU::Science::Medicine
Issue Date: 2014
Source: Xu, H. Y., Fu, X., Lee, L. K. H., Ma, S., Goh, K. T., Wong, J., Habibullah, M. S., Lee, G. K. K., Lim, T. K., Tambyah, P. A., Lim, C. L.,& Ng, L. C. (2014). Statistical Modeling Reveals the Effect of Absolute Humidity on Dengue in Singapore. PLoS Neglected Tropical Diseases, 8(5), e2805-.
Series/Report no.: PLoS neglected tropical diseases
Abstract: Weather factors are widely studied for their effects on indicating dengue incidence trends. However, these studies have been limited due to the complex epidemiology of dengue, which involves dynamic interplay of multiple factors such as herd immunity within a population, distinct serotypes of the virus, environmental factors and intervention programs. In this study, we investigate the impact of weather factors on dengue in Singapore, considering the disease epidemiology and profile of virus serotypes. A Poisson regression combined with Distributed Lag Non-linear Model (DLNM) was used to evaluate and compare the impact of weekly Absolute Humidity (AH) and other weather factors (mean temperature, minimum temperature, maximum temperature, rainfall, relative humidity and wind speed) on dengue incidence from 2001 to 2009. The same analysis was also performed on three sub-periods, defined by predominant circulating serotypes. The performance of DLNM regression models were then evaluated through the Akaike's Information Criterion. From the correlation and DLNM regression modeling analyses of the studied period, AH was found to be a better predictor for modeling dengue incidence than the other unique weather variables. Whilst mean temperature (MeanT) also showed significant correlation with dengue incidence, the relationship between AH or MeanT and dengue incidence, however, varied in the three sub-periods. Our results showed that AH had a more stable impact on dengue incidence than temperature when virological factors were taken into consideration. AH appeared to be the most consistent factor in modeling dengue incidence in Singapore. Considering the changes in dominant serotypes, the improvements in vector control programs and the inconsistent weather patterns observed in the sub-periods, the impact of weather on dengue is modulated by these other factors. Future studies on the impact of climate change on dengue need to take all the other contributing factors into consideration in order to make meaningful public policy recommendations.
URI: https://hdl.handle.net/10356/103884
http://hdl.handle.net/10220/19348
ISSN: 1935-2735
DOI: http://dx.doi.org/10.1371/journal.pntd.0002805
Rights: © 2014 Xu et al. 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 credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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