ArticleParasites & vectors2022
The impact of environmental factors on human echinococcosis epidemics: spatial modelling and risk prediction.
Article in Parasites & vectors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 33 citations in OpenAlex.
- Risk prediction of echinococcosis in China under climate change: a One Health approach.Parasites & vectors · 2026Article
- Synergistic effects of multifactor interactions on the transmission of Echinococcus spp. on the Qinghai-Tibet Plateau.PLoS neglected tropical diseases · 2026Article
- Article
- Spatiotemporal distribution and control of echinococcosis in Xinjiang, 2005-2023.PLoS neglected tropical diseases · 2025Article
- Prevalence and Spatial distribution characteristics of human echinococcosis in Ningxia Hui Autonomous Region, 2011-2023.BMC public health · 2025Article
- Settlement characteristics and transmission of echinococcosis: a cross-sectional study in nomadic communities on the Qinghai-Tibet Plateau, China.Infectious diseases of poverty · 2025Article
- Trends in the disease burden of cystic echinococcosis in China, 1990-2044 analysis and forecasting study.Scientific reports · 2025Article
- Dynamical variations, impact factors, and prediction of echinoco-ccosis in Xinjiang by ARIMA-Random Forest Hybrid Model.PloS one · 2025Article
- A regressive analysis of the main environmental risk factors of human echinococcosis in 370 counties in China.PLoS neglected tropical diseases · 2024Article
- Article
- Changes in the global epidemiological characteristics of cystic echinococcosis over the past 30 years and projections for the next decade: Findings from the Global Burden of Disease Study 2019.Journal of global health · 2024Article
- Epidemiological characteristics and risk factors for cystic and alveolar echinococcosis in China: an analysis of a national population-based field survey.Parasites & vectors · 2023Article
- The Impact of Environmental and Host Factors on Human Cystic Echinococcosis: A County-Level Modeling Study in Western China.GeoHealth · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundHuman echinococcosis is affected by natural environmental factors, and its prevalence shows a distinct geographical distribution. Western China has the highest endemicity of human echinococcosis worldwide, but the spatial pattern and environmental determinants of echinococcosis are still unclear.
methodsHot/cold spot analysis was used to investigate the spatial distribution of human echinococcosis prevalence. Geodetector was used to identify key natural factors, and a structured additive regression model was used to analyse the relationship between natural factors and human echinococcosis prevalence and spatially predict echinococcosis epidemics.
resultsHot spots for human echinococcosis prevalence include western and southeastern parts of Tibet Autonomous Region (henceforth Tibet) and the border areas between Tibet and the provinces of Qinghai and Sichuan. Spatial effects are crucial when modelling epidemics, and relative humidity, altitude and grassland area ratio were found to have the most evident effects on echinococcosis epidemics. The relationship between these three factors and echinococcosis prevalence was non-linear, and echinococcosis risk was higher in areas with high relative humidity, high altitude, and a high ratio of grassland to other land use types. The prevalence that was predicted from the investigated environmental factors was generally higher than the actual prevalence, and more epidemic hot spots were predicted for the Qinghai-Tibet Plateau, Inner Mongolia Autonomous Region, and the provinces of Yunnan and Sichuan than the rest of western China. These results indicate that prevention and control measures may effectively reduce echinococcosis prevalence.
conclusionsWe suggest that the prevention and control of human echinococcosis should be prioritized in the hot spots identified here, through the rational allocation of limited medical resources to where they are most needed. Furthermore, the spatial epidemiological modelling methods used in this study can be employed in future studies on echinococcosis and similar diseases.
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