Model-based spatial-temporal mapping of opisthorchiasis in endemic countries of Southeast Asia
- Sun Yat-Sen University, China
- Vietnam Academy of Sciences and Technology, Viet Nam
- Ministry of Health, Lao People's Democratic Republic
- Ministry of Health, Cambodia
- Mahasarakham University, Thailand
- Chinese Center for Disease Control and Prevention; Ministry of Health, China
Abstract
Opisthorchiasis is an overlooked danger to Southeast Asia. High-resolution disease risk maps are critical but haven't been available for Southeast Asia. Georeferenced disease data and potential influencing factor data were collected through a systematic review of literatures and open-access databases, respectively. Bayesian spatial-temporal joint models were developed to analyze both point- and area-level disease data, within a logit regression in combination of potential influencing factors and spatial-temporal random effects. The model-based risk mapping identified areas of low, moderate and high prevalence across the study region. Even though the overall population-adjusted estimated prevalence presented a trend down, a total of 12.39 million (95% BCI: 10.10-15.06) people were estimated infected with O. viverrini in 2018 in four major endemic countries (i.e., Thailand, Laos, Cambodia, and Vietnam), highlighting the public health importance of the disease in the study region. The high-resolution risk maps provide valuable information for spatial targeting of opisthorchiasis control interventions.
Data availability
All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figures 2-7, Figure 2-figure supplement 1, Figure 3-figure supplement 1, Figure 6-figure supplement 1-9.
Article and author information
Author details
Funding
National Natural Science Foundation of China (81703320)
- Ying-Si Lai
National Natural Science Foundation of China (82073665)
- Ying-Si Lai
Natural Science Foundation of Guangdong Province (2017A030313704)
- Ying-Si Lai
China Medical Board (17-274)
- Ying-Si Lai
The Sun Yat-Sen University One Hundred Talent Grant
- Ying-Si Lai
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Human subjects: This work was based on survey data pertaining to the prevalence of opisthorchiasis extracted from open published peer-reviewed literatures. All data were aggregated and did not contain any information at the individual or household levels. Therefore, there were no specific ethical issues warranted special attention.
Copyright
© 2021, Zhao et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Model-based spatial-temporal mapping of opisthorchiasis in endemic countries of Southeast Asia
eLife 10:e59755.
https://doi.org/10.7554/eLife.59755
