ArticleInfectious diseases of poverty2017
Assessing environmental factors associated with regional schistosomiasis prevalence in Anhui Province, Peoples' Republic of China using a geographical detector method.
Article in Infectious diseases of poverty, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 31 citations in OpenAlex.
- Epidemiology and Current Challenges of Human Schistosomiasis Along the Shabelle River, Somali Regional State, Eastern Ethiopia.Acta parasitologica · 2025Article
- Schistosomiasis transmission in Zimbabwe: Modelling based on machine learning.Infectious Disease Modelling · 2024Article
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- Open-source environmental data as an alternative to snail surveys to assess schistosomiasis risk in areas approaching elimination.International journal of health geographics · 2023Article
- Open-source environmental data as an alternative to snail surveys to assess schistosomiasis risk in areas approaching elimination.Research square · 2023Article
- Climate Change and Vector-Borne Diseases in China: A Review of Evidence and Implications for Risk Management.Biology · 2022Review
- Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping.Tropical medicine and infectious disease · 2022Article
- Effectiveness of mass treatment of Schistosoma mansoni infection in socially vulnerable areas of a state in northeastern Brazil, 2011-2014.Archives of public health = Archives belges de sante publique · 2021Article
- Obtaining elevation of Oncomelania Hupensis habitat based on Google Earth and it's accuracy evaluation: an example from the Poyang lake region, China.Scientific reports · 2020Article
- Role of ecological approaches to eliminating schistosomiasis in Eryuan County evaluated by system modelling.Infectious diseases of poverty · 2018Article
- Integrating ecological approaches to interrupt schistosomiasis transmission: opportunities and challenges.Infectious diseases of poverty · 2018Article
- Modelling local areas of exposure to Schistosoma japonicum in a limited survey data environment.Parasites & vectors · 2018Article
- Geographical Clustering and Environmental Determinants of Schistosomiasis from 2007 to 2012 in Jianghan Plain, China.International journal of environmental research and public health · 2018Article
- Elimination of schistosomiasis: the tools required.Infectious diseases of poverty · 2017Article
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Authors and funding
9 authors at 6 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSchistosomiasis is a water-borne disease caused by trematode worms belonging to genus Schistosoma, which is prevalent most of the developing world. Transmission of the disease is usually associated with multiple biological characteristics and social factors but also factors can play a role. Few studies have assessed the exact and interactive influence of each factor promoting schistosomiasis transmission.
methodsWe used a series of different detectors (i.e., specific detector, risk detector, ecological detector and interaction detector) to evaluate separate and interactive effects of the environmental factors on schistosomiasis prevalence. Specifically, (i) specific detector quantifies the impact of a risk factor on an observed spatial disease pattern, which were ranked statistically by a value of Power of Determinate (PD) calculation; (ii) risk detector detects high risk areas of a disease on the condition that the study area is stratified by a potential risk factor; (iii) ecological detector explores whether a risk factor is more significant than another in controlling the spatial pattern of a disease; (iv) interaction detector probes whether two risk factors when taken together weaken or enhance one another, or whether they are independent in developing a disease. Infection data of schistosomiasis based on conventional surveys were obtained at the county level from the health authorities in Anhui Province, China and used in combination with information from Chinese weather stations and internationally available environmental data.
resultsThe specific detector identified various factors of potential importance as follows: Proximity to Yangtze River (0.322) > Land cover (0.285) > sunshine hours (0.256) > population density (0.109) > altitude (0.090) > the normalized different vegetation index (NDVI) (0.077) > land surface temperature at daytime (LST
conclusionProximity to Yangtze River had the strongest effect on schistosomiasis prevalence followed by land cover and sunshine hours, while the remaining factors had only weak influence. Interaction between factors played an even more important role in influencing schistosomiasis prevalence than each factor on its own. High risk regions influenced by strong interactions need to be targeted for disease control intervention.
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