ArticlePloS one2015
Spatial analysis of Schistosomiasis in Hubei Province, China: a GIS-based analysis of Schistosomiasis from 2009 to 2013.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Peer-led versus routine health education for schistosomiasis knowledge improvement among primary school students in Wuhan, China.PLoS neglected tropical diseases · 2026Trial
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- Measurement and characteristics of the temporal-spatial evolution of China's healthcare services efficiency.Archives of public health = Archives belges de sante publique · 2023Article
- Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China.PLoS neglected tropical diseases · 2023Article
- A study of primary health care service efficiency and its spatial correlation in China.BMC health services research · 2023Article
- Spatial Distribution of Dicrocoelium in the Himalayan Ranges: Potential Impacts of Ecological Niches and Climatic Variables.Acta parasitologica · 2023Article
- Spatial Analysis of Schistosomiasis in Hunan and Jiangxi Provinces in the People's Republic of China.Diseases (Basel, Switzerland) · 2022Article
- Impact of the coronavirus disease 2019 lockdown on Schistosoma host Oncomelania hupensis density in Wuhan.Acta tropica · 2022Article
- Predictive Risk Mapping of Schistosomiasis in Madagascar Using Ecological Niche Modeling and Precision Mapping.Tropical medicine and infectious disease · 2022Article
- Research on Urban Medical and Health Services Efficiency and Its Spatial Correlation in China: Based on Panel Data of 13 Cities in Jiangsu Province.Healthcare (Basel, Switzerland) · 2021Article
- Application of GIS Spatial Analysis and Scanning Statistics in the Gynecological Cancer Clustering Pattern and Risk Screening: A Case Study in Northern Jiangxi Province, China.Risk management and healthcare policy · 2020Article
- Epidemiological Trend of Typhoid and Paratyphoid Fevers in Zhejiang Province, China from 1953 to 2014.International journal of environmental research and public health · 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
- Spatial distribution of 12 class B notifiable infectious diseases in China: A retrospective study.PloS one · 2018Article
- Village-based spatio-temporal cluster analysis of the schistosomiasis risk in the Poyang Lake Region, China.Parasites & vectors · 2017Article
- A spatial analysis of human Schistosoma japonicum infections in Hubei, China, during 2009-2014.Parasites & vectors · 2016Article
- Relative importance of meteorological and geographical factors in the distribution of Fasciola hepatica infestation in farmed sheep in Qinghai province, China.Parasite (Paris, France) · 2016Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSchistosomiasis remains a major public health problem in China. The major endemic areas are located in the lake and marshland regions of southern China, particularly in areas along the middle and low reach of the Yangtze River. Spatial analytical techniques are often used in epidemiology to identify spatial clusters in disease regions. This study assesses the spatial distribution of schistosomiasis and explores high-risk regions in Hubei Province, China to provide guidance on schistosomiasis control in marshland regions.
methodsIn this study, spatial autocorrelation methodologies, including global Moran's I and local Getis-Ord statistics, were utilized to describe and map spatial clusters and areas where human Schistosoma japonicum infection is prevalent at the county level in Hubei province. In addition, linear logistic regression model was used to determine the characteristics of spatial autocorrelation with time.
resultsThe infection rates of S. japonicum decreased from 2009 to 2013. The global autocorrelation analysis results on the infection rate of S. japonicum for five years showed statistical significance (Moran's I > 0, P < 0.01), which suggested that spatial clusters were present in the distribution of S. japonicum infection from 2009 to 2013. Local autocorrelation analysis results showed that the number of highly aggregated areas ranged from eight to eleven within the five-year analysis period. The highly aggregated areas were mainly distributed in eight counties.
conclusionsThe spatial distribution of human S. japonicum infections did not exhibit a temporal change at the county level in Hubei Province. The risk factors that influence human S. japonicum transmission may not have changed after achieving the national criterion of infection control. The findings indicated that spatial-temporal surveillance of S. japonicum transmission plays a significant role on schistosomiasis control. Timely and integrated prevention should be continued, especially in the Yangtze River Basin of Jianghan Plain area.
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