Literature DB >> 33671375

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

Jun Xu1, Xiao Ouyang2, Qingyun He1, Guoen Wei3.   

Abstract

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.

Entities:  

Keywords:  breeding grounds; comprehensive risk of epidemic; disease geography; schistosomiasis; spatio-temporal evolution

Mesh:

Year:  2021        PMID: 33671375      PMCID: PMC7923101          DOI: 10.3390/ijerph18041950

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  35 in total

1.  [Maximum entropy model versus remote sensing-based methods for extracting Oncomelania hupensis snail habitats].

Authors:  Xia Cong-Cong; Lu Cheng-Fang; Li Si; Zhang Tie-Jun; Lin Sui-Heng; Hu Yi; Liu Ying; Zhang Zhi-Jie
Journal:  Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi       Date:  2016-12-02

2.  [Surface water change characteristics of Taihu Lake from 1984-2018 based on Google Earth Engine].

Authors:  Yao-Yi Liu; Tian Tian; Peng Zeng; Xin-Yu Zhang; Yue Che
Journal:  Ying Yong Sheng Tai Xue Bao       Date:  2020-09-15

3.  [Ecological surveillance on breeding ground for Oncomelania hupensis snails in the areas prevalent with islet-type schistosomiasis using remote sensing technology].

Authors:  Shi-Qing Zhang; Qing-Wu Jiang; Tian-Ping Wang; Gen-Ming Zhao; Ji-Hua Ge
Journal:  Zhonghua Yu Fang Yi Xue Za Zhi       Date:  2003-09

4.  Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques.

Authors:  Ricardo J P S Guimarães; Corina C Freitas; Luciano V Dutra; Ana C M Moura; Ronaldo S Amaral; Sandra C Drummond; Ronaldo G C Scholte; Omar S Carvalho
Journal:  Acta Trop       Date:  2008-07-22       Impact factor: 3.112

5.  The new national integrated strategy emphasizing infection sources control for schistosomiasis control in China has made remarkable achievements.

Authors:  Rong Liu; Hui-Fen Dong; Ming-Sen Jiang
Journal:  Parasitol Res       Date:  2013-01-26       Impact factor: 2.289

6.  Impact and cost-effectiveness of snail control to achieve disease control targets for schistosomiasis.

Authors:  Nathan C Lo; David Gurarie; Nara Yoon; Jean T Coulibaly; Eran Bendavid; Jason R Andrews; Charles H King
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-04       Impact factor: 11.205

7.  The human-snail transmission environment shapes long term schistosomiasis control outcomes: Implications for improving the accuracy of predictive modeling.

Authors:  David Gurarie; Nathan C Lo; Martial L Ndeffo-Mbah; David P Durham; Charles H King
Journal:  PLoS Negl Trop Dis       Date:  2018-05-21

8.  Assessing the effect of an integrated control strategy for schistosomiasis japonica emphasizing bovines in a marshland area of Hubei Province, China: a cluster randomized trial.

Authors:  Xi-Cheng Hong; Xing-Jian Xu; Xi Chen; Yue-Sheng Li; Chuan-Hua Yu; Yi Yuan; Yan-Yan Chen; Ren-Dong Li; Juan Qiu; Zong-Chuan Liu; Ping Yi; Guang-Hui Ren; Hong-Bin He
Journal:  PLoS Negl Trop Dis       Date:  2013-03-14

9.  Risk analysis for occurrences of schistosomiasis in the coastal area of Porto de Galinhas, Pernambuco, Brazil.

Authors:  Elainne Christine de Souza Gomes; Onicio Batista Leal-Neto; Fernando José Moreira de Oliveira; Julyana Viegas Campos; Reinaldo Souza-Santos; Constança Simões Barbosa
Journal:  BMC Infect Dis       Date:  2014-02-23       Impact factor: 3.090

Review 10.  The Effect of Climate Change and the Snail-Schistosome Cycle in Transmission and Bio-Control of Schistosomiasis in Sub-Saharan Africa.

Authors:  Tayo Alex Adekiya; Raphael Taiwo Aruleba; Babatunji Emmanuel Oyinloye; Kazeem Oare Okosun; Abidemi Paul Kappo
Journal:  Int J Environ Res Public Health       Date:  2019-12-26       Impact factor: 3.390

View more
  1 in total

Review 1.  Development of New Technologies for Risk Identification of Schistosomiasis Transmission in China.

Authors:  Liang Shi; Jian-Feng Zhang; Wei Li; Kun Yang
Journal:  Pathogens       Date:  2022-02-08
  1 in total

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