ArticlePLoS neglected tropical diseases2024
A regressive analysis of the main environmental risk factors of human echinococcosis in 370 counties in China.
Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Alveolar Echinococcosis in the Early 2020s: A Systematic Review.Pathogens (Basel, Switzerland) · 2026Pooled it
- Spatio-temporal dynamics, trend analysis, and incidence prediction of echinococcosis in Xinjiang, China (2005-2024).BMC public health · 2026Article
- Risk prediction of echinococcosis in China under climate change: a One Health approach.Parasites & vectors · 2026Article
- Disparities in Echinococcosis Control in Xizang, China: An Assessment Based on the Health Resource Density Index.Journal of tropical medicine · 2026Article
- Prioritizing interventions for echinococcosis prevention in China: a population attributable fraction analysis.The Lancet regional health. Western Pacific · 2025Article
- Benefits of public awareness in mitigating cystic echinococcosis risk in Western China: A climate and socio-economic perspective.PLoS neglected tropical diseases · 2025Article
- Rare complex recurrent cystic echinococcosis with multi-organ involvement after inadequate postoperative therapy: a case report.Frontiers in medicine · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundEchinococcosis is a natural focal, highly prevalent disease in China. Factors influencing the spread of echinococcosis are not only related to personal exposure but also closely related to the environment itself. The purpose of this study was to explore the influence of environmental factors on the prevalence of human echinococcosis and to provide a reference for prevention and control of echinococcosis in the future.
methodsData were collected from 370 endemic counties in China in 2018. By downloading Modis, DEM and other remote-sensing images in 2018. Data on environmental factors, i.e., elevation, land surface temperature (LST) and normalized difference vegetation index (NDVI) were collected. Rank correlation analysis was conducted between each environmental factor and the prevalence of echinococcosis at the county level. Negative binomial regression was used to analyze the impact of environmental factors on the prevalence of human echinococcosis at the county level.
resultsAccording to rank correlation analysis, the prevalence of human echinococcosis in each county was positively correlated with elevation, negatively correlated with LST, and negatively correlated with NDVI in May, June and July. Negative binomial regression showed that the prevalence of human echinococcosis was negatively correlated with annual LST and summer NDVI, and positively correlated with average elevation and dog infection rate. The prevalence of human cystic echinococcosis was inversely correlated with the annual average LST, and positively correlated with both the average elevation and the prevalence rate of domestic animals. The prevalence of human alveolar echinococcosis was positively correlated with both NDVI in autumn and average elevation, and negatively correlated with NDVI in winter.
conclusionThe prevalence of echinococcosis in the population is affected by environmental factors. Environmental risk assessment and prediction can be conducted in order to rationally allocate health resources and improve both prevention and control efficiency of echinococcosis.
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