ArticleScientific reports2016
Monitoring schistosomiasis risk in East China over space and time using a Bayesian hierarchical modeling approach.
Article in Scientific reports, 2016. 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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Who cites it
13 citing papers in PubMed.
- Dynamic changes and early warning of peanuts aflatoxin BNPJ science of food · 2026Article
- Risk factors associated with urogenital schistosomiasis: a multilevel assessment approach using an Oversampling Schistosomiasis Survey (SOS) community-based, Plateaux region, Togo 2022.BMJ public health · 2025Article
- Influence of urbanization on schistosomiasis infection risk in Anhui Province based on sixteen year's longitudinal surveillance data: a spatio-temporal modelling study.Infectious diseases of poverty · 2023Article
- Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China.Pathogens (Basel, Switzerland) · 2022Review
- Wild animal and zoonotic disease risk management and regulation in China: Examining gaps and One Health opportunities in scope, mandates, and monitoring systems.One health (Amsterdam, Netherlands) · 2021Review
- Identification of the high-risk area for schistosomiasis transmission in China based on information value and machine learning: a newly data-driven modeling attempt.Infectious diseases of poverty · 2021Article
- Dynamic evolution of schistosomiasis distribution under different control strategies: Results from surveillance covering 1991-2014 in Guichi, China.PLoS neglected tropical diseases · 2021Article
- Modeling schistosomiasis spatial risk dynamics over time in Rwanda using zero-inflated Poisson regression.Scientific reports · 2020Article
- Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China.BMC public health · 2020Article
- Spatiotemporal pattern analysis of schistosomiasis based on village level in the transmission control stage in lake and marshland areas in China.Parasitology · 2020Article
- Currently Available Monitoring and Surveillance Systems forPathogens (Basel, Switzerland) · 2020Review
- The Spatial-Temporal Trend Analysis of Schistosomiasis from 1997 to 2010 in Anhui Province, Eastern China.The American journal of tropical medicine and hygiene · 2018Article
- Understanding the rapid increase in life expectancy in shanghai, China: a population-based retrospective analysis.BMC public health · 2018Article
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Authors and funding
12 authors.
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Abstract
Schistosomiasis remains a major public health problem and causes substantial economic impact in east China, particularly along the Yangtze River Basin. Disease forecasting and surveillance can assist in the development and implementation of more effective intervention measures to control disease. In this study, we applied a Bayesian hierarchical spatio-temporal model to describe trends in schistosomiasis risk in Anhui Province, China, using annual parasitological and environmental data for the period 1997-2010. A computationally efficient approach-Integrated Nested Laplace Approximation-was used for model inference. A zero-inflated, negative binomial model best described the spatio-temporal dynamics of schistosomiasis risk. It predicted that the disease risk would generally be low and stable except for some specific, local areas during the period 2011-2014. High-risk counties were identified in the forecasting maps: three in which the risk remained high, and two in which risk would become high. The results indicated that schistosomiasis risk has been reduced to consistently low levels throughout much of this region of China; however, some counties were identified in which progress in schistosomiasis control was less than satisfactory. Whilst maintaining overall control, specific interventions in the future should focus on these refractive counties as part of a strategy to eliminate schistosomiasis from this region.
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