Examining the Effect of the Environment and Commuting Flow from/to Epidemic Areas on the Spread of Dengue Fever

Zhou, Shuli; Zhou, Suhong; Liu, Lin; Zhang, Meng; Kang, Min; Xiao, Jianpeng; Song, Tie

doi:10.3390/ijerph16245013

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Examining the Effect of the Environment and Commuting Flow from/to Epidemic Areas on the Spread of Dengue Fever

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School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China

Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou 510275, China

Center of Geo-Informatics for Public Security, School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China

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Department of Geography, University of Cincinnati, Cincinnati, OH 45221-0131, USA

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Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China

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Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China

Authors to whom correspondence should be addressed.

Int. J. Environ. Res. Public Health 2019, 16(24), 5013; https://doi.org/10.3390/ijerph16245013

Received: 19 November 2019 / Revised: 5 December 2019 / Accepted: 6 December 2019 / Published: 10 December 2019

(This article belongs to the Section Environmental Health)

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Abstract

Environment and human mobility have been considered as two important factors that drive the outbreak and transmission of dengue fever (DF). Most studies focus on the local environment while neglecting environment of the places, especially epidemic areas that people came from or traveled to. Commuting is a major form of interactions between places. Therefore, this research generates commuting flows from mobile phone tracked data. Geographically weighted Poisson regression (GWPR) and analysis of variance (ANOVA) are used to examine the effect of commuting flows, especially those from/to epidemic areas, on DF in 2014 at the Jiedao level in Guangzhou. The results suggest that (1) commuting flows from/to epidemic areas affect the transmission of DF; (2) such effects vary in space; and (3) the spatial variation of the effects can be explained by the environment of the epidemic areas that commuters commuted from/to. These findings have important policy implications for making effective intervention strategies, especially when resources are limited. View Full-Text

Keywords: dengue fever; environment; commuting flow from/to epidemic areas; geographically weighted Poisson regression (GWPR)

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MDPI and ACS Style

Zhou, S.; Zhou, S.; Liu, L.; Zhang, M.; Kang, M.; Xiao, J.; Song, T. Examining the Effect of the Environment and Commuting Flow from/to Epidemic Areas on the Spread of Dengue Fever. Int. J. Environ. Res. Public Health 2019, 16, 5013. https://doi.org/10.3390/ijerph16245013

AMA Style

Zhou S, Zhou S, Liu L, Zhang M, Kang M, Xiao J, Song T. Examining the Effect of the Environment and Commuting Flow from/to Epidemic Areas on the Spread of Dengue Fever. International Journal of Environmental Research and Public Health. 2019; 16(24):5013. https://doi.org/10.3390/ijerph16245013

Chicago/Turabian Style

Zhou, Shuli, Suhong Zhou, Lin Liu, Meng Zhang, Min Kang, Jianpeng Xiao, and Tie Song. 2019. "Examining the Effect of the Environment and Commuting Flow from/to Epidemic Areas on the Spread of Dengue Fever" International Journal of Environmental Research and Public Health 16, no. 24: 5013. https://doi.org/10.3390/ijerph16245013

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Examining the Effect of the Environment and Commuting Flow from/to Epidemic Areas on the Spread of Dengue Fever

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