Schistosoma japonicum infected sentinel mice surveillance and spatial point pattern analysis in Hubei province, China, 2010-2018 Yan-Yan Chen Hubei Provincial Center for Disease Control and Prevention Si Liu Hubei Provincial Center for Disease Control and Prevention Xiao-Wei Shan Hubei Provincial Center for Disease Control and Prevention Hui Wang Hubei Provincial Center for Disease Control and Prevention Bo Li Hubei Provincial Center for Disease Control and Prevention Jun-Jing Yang Hubei Provincial Center for Disease Control and Prevention Ling-Feng Dai Hubei Provincial Center for Disease Control and Prevention Jian-Bing Liu Hubei Provincial Center for Disease Control and Prevention Guo Li (
[email protected] ) Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Research Article Keywords: Schistosomiasis, Sentinel mice surveillance, Geographic information system, Spatial clustering, Point pattern, Ripley's K-function, Kernel density estimation Posted Date: May 6th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-22516/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published at International Journal of Infectious Diseases on October 1st, 2020. See the published version at https://doi.org/10.1016/j.ijid.2020.07.048. Page 1/11 Abstract Background Progress in national schistosomiasis control in China has successfully reduced disease transmission in many districts. However, a low transmission rate hinders conventional snail surveys in identifying areas at risk. In this study, Schistosoma japonicum infected sentinel mice surveillance was conducted to identify high risk areas of schistosomiasis transmission in Hubei province, China.