Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Comprehensive Risk Assessment of Schistosomiasis Epidemic Based on Precise Identification of Oncomelania hupensis Breeding Grounds—A Case Study of Dongting Lake Area

Bibliographic Data

ID15512512
AuthorsJun Xu (0000-0002-0557-2046, Hunan Normal University), Xiao Ouyang (0000-0001-7909-6022, Hunan University of Finance and Economics, corresponding author), Qingyun He (Hunan Normal University), HE Qing-yun (Hunan Normal University, corresponding author), Guoen Wei (0000-0002-2054-7623, Nanjing University)
Year2021
Volume18
Issue4
Pages1950-1950
Publication date2021-02-17
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18041950
PMID33671375
OpenAlexW3129278047
LanguageEN
References cited28

Spatio-temporal epidemic simulation, assessment, and risk monitoring serve as the core to establishing and improving the national public health emergency management system. In this study, we investigated Oncomelania hupensis breeding grounds and analyzed the locational and environmental preferences of snail breeding in Dongting Lake (DTL), Hunan, China. Using geographic information systems and remote sensing technology, we identified schistosomiasis risk areas and explored the factors affecting the occurrence and transmission of the disease. Several key conclusions were drawn. (1) From 2006 to 2016, the spatial change of potential O. hupensis breeding risk showed a diminishing trend from the eastern and northern regions to southwest DTL. Environmental changes in the eastern DTL region resulted in the lakeside and hydrophilic agglomerations of the O. hupensis populations. The shift in snail breeding grounds from a fragmented to centralized distribution indicates the weakening mobility of the O. hupensis population, the increasing independence of solitary groups, and the growing dependence of the snail population to the local environment. (2) The spatial risk distribution showed a descending gradient from west Dongting area to the east and an overall pattern of high in the periphery of large lakes and low in other areas. The cold-spot areas had their cores in Huarong County and Anxiang County and were scattered throughout the peripheral areas. The hot-spot areas had their center at Jinshi City, Nanxian County, and the southern part of Huarong County. The areas with increased comprehensive risks changed from centralized and large-scale development to fragmented shrinkage with increased partialization in the core area. The risk distribution's center shifted to the northwest. The spatial risk distribution exhibited enhanced concentricity along the major axis and increased dispersion along the minor axis

Biology · Cartography · Distribution (mathematics · Environmental health · Environmental protection · Geographic information system · Geography · Oncomelania · Oncomelania hupensis · Physical geography · Population · Schistosomiasis · Snail · Global Maternal and Child Health · Parasites and Host Interactions · Zoonotic diseases and public health · Ecology

  • Identifying and Predicting the Geographical Distribution Patterns of Oncomelania hupensis

    Open Access•Yingnan Niu, Rendong Li et al.•International Journal of…•2019

  • Geographical Clustering and Environmental Determinants of Schistosomiasis from 2007 to 2012 in Jianghan Plain, China

    Open Access•Yingnan Niu, Rendong Li et al.•International Journal of…•2018

  • The Stakeholders’ Views on Planting Trees to Control Schistosomiasis in China

    Open Access•Jun Yang, Jinxing Zhou et al.•International Journal of…•2020

  • The public health emergency management system in China

    Open Access•Mei Sun, Ningze Xu et al.•BMC Public Health•2018

  • Spatial pattern, water use and risk levels associated with the transmission of schistosomiasis on the north coast of Pernambuco, Brazil

    Open Access•Helen Paredes, Reinaldo Souza-Santos et al.•Cadernos de Saude Publica•2010

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae