ArticlePLoS neglected tropical diseases2021
Geographical Detector-based influence factors analysis for Echinococcosis prevalence in Tibet, China.
Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Alveolar Echinococcosis in the Early 2020s: A Systematic Review.Pathogens (Basel, Switzerland) · 2026Pooled it
- Synergistic effects of multifactor interactions on the transmission of Echinococcus spp. on the Qinghai-Tibet Plateau.PLoS neglected tropical diseases · 2026Article
- Disparities in Echinococcosis Control in Xizang, China: An Assessment Based on the Health Resource Density Index.Journal of tropical medicine · 2026Article
- Comparative analysis of cystic echinococcosis burden trends: a systematic evaluation of global and Chinese regional patterns using global burden of disease study 2021 data.Parasites & vectors · 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
- Developing a geographical-meteorological indicator system and evaluating prediction models for alveolar echinococcosis in China.Journal of exposure science & environmental epidemiology · 2025Article
- Exploring the influencing factors of scrub typhus in Gannan region, China, based on spatial regression modelling and geographical detector.Infectious Disease Modelling · 2025Article
- Spatial co-distribution of tuberculosis prevalence and low BCG vaccination coverage in Ethiopia.Scientific reports · 2024Article
- Retrospective multidisciplinary analysis of human alveolar echinococcosis in Hungary using spatial epidemiology approaches.Scientific reports · 2024Article
- Pictorial review of hepatic echinococcosis: Ultrasound imaging and differential diagnosis.World journal of gastroenterology · 2024Review
- Rapid Discriminative Identification of the Two Predominant Echinococcus Species from Canine Fecal Samples in the Tibetan Region of China by Loop-Mediated Isothermal Amplification-Lateral Flow Dipstick Assay.Tropical medicine and infectious disease · 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
- Update on the genetic diversity and population structure of Echinococcus granulosus in Gansu Province, Tibet Autonomous Region, and Xinjiang Uygur Autonomous Region, Western China, inferred from mitochondrial cox1, nad1, and nad5 sequences.Parasitology research · 2023Article
- Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China.Infectious diseases of poverty · 2022Article
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Echinococcosis, caused by genus Echinococcus, is the most pathogenic zoonotic parasitic disease in the world. In Tibet of the People's Republic of China, echinococcosis refers principally to two types of severe zoonosis, cystic echinococcosis (CE) and alveolar echinococcosis (AE), which place a serious burden on public health and economy in the local community. However, research on the spatial epidemiology of echinococcosis remains inadequate in Tibet, China. Based on the recorded human echinococcosis data, maps of the spatial distribution of human CE and AE prevalence in Tibet were produced at city level and county level respectively, which show that the prevalence of echinococcosis in northern and western Tibet was much higher than that in other regions. We employ a geographical detector to explore the influencing factors for causing CE and AE while sorting information on the maps of disease prevalence and environment factors (e.g. terrain, population, and yak population). The results of our analysis showed that biological factors have the most impact on the prevalence of echinococcosis, of which the yak population contributes the most for CE, while the dog population contributes the most for AE. In addition, the interaction between various factors, as we found out, might further explain the disease prevalence, which indicated that the echinococcosis prevalence is not simply affected by one single factor, but by multiple factors that are correlated with each other complicatedly. Our results will provide an important reference for the evaluation of the echinococcosis risk, control projects, and prevention programs in Tibet.
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