Author ORCID Identifier
N/A
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https://orcid.org/0000-0002-5136-9364
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https://orcid.org/0000-0003-1766-2820
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Document Type
Article
Publication Date
2018
College/Unit
Davis College of Agriculture, Natural Resources and Design
Department/Program/Center
Geology and Geography
Abstract
Hand, foot, and mouth disease (HFMD) is a worldwide infectious disease, prominent in China. China’s HFMD data are sparse with a large number of observed zeros across locations and over time. However, no previous studies have considered such a zero-inflated problem on HFMD’s spatiotemporal risk analysis and mapping, not to mention for the entire Mainland China at county level. Monthly county-level HFMD cases data combined with related climate and socioeconomic variables were collected. We developed four models, including spatiotemporal Poisson, negative binomial, zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) models under the Bayesian hierarchical modeling framework to explore disease spatiotemporal patterns. The results showed that the spatiotemporal ZINB model performed best. Both climate and socioeconomic variables were identified as significant risk factors for increasing HFMD incidence. The relative risk (RR) of HFMD at the local scale showed nonlinear temporal trends and was considerably spatially clustered in Mainland China. The first complete county-level spatiotemporal relative risk maps of HFMD were generated by this study. The new findings provide great potential for national county-level HFMD prevention and control, and the improved spatiotemporal zero-inflated model offers new insights for epidemic data with the zero-inflated problem in environmental epidemiology and public health.
Digital Commons Citation
Song, Chao; He, Yaqian; Bo, Yanchen; Wang, Jinfeng; Ren, Zhoupeng; and Yang, Huibin, "Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models" (2018). Faculty & Staff Scholarship. 1481.
https://researchrepository.wvu.edu/faculty_publications/1481
Source Citation
Song, C., He, Y., Bo, Y., Wang, J., Ren, Z., & Yang, H. (2018). Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models. International Journal of Environmental Research and Public Health, 15(7), 1476. https://doi.org/10.3390/ijerph15071476
Comments
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).