Optimization of echinococcosis control measures based on system dynamics

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Pubblicato in:PLoS Computational Biology vol. 21, no. 9 (Sep 2025), p. e1013186-e1013203
Autore principale: Ma, Jinrui
Altri autori: Liu, Xingyu, He, Zengwen, Zhang, Haohao, Ma, Yonghui, Fan, Ziqiu, Zhao, Xuehui, Ji Zhi, Cao, Qing, Xue, Huiwen, Gou, Huitian
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024 7 |a 10.1371/journal.pcbi.1013186  |2 doi 
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045 2 |b d20250901  |b d20250930 
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100 1 |a Ma, Jinrui 
245 1 |a Optimization of echinococcosis control measures based on system dynamics 
260 |b Public Library of Science  |c Sep 2025 
513 |a Journal Article 
520 3 |a This study aimed to provide strategies to optimize the prevention and control measures of echinococcosis in Gansu Province. Based on the transmission mechanism of echinococcosis, a System Dynamics (SD) model of echinococcosis in Gansu Province was established using Vensim software. Through this model, parameters such as vaccination coverage, domestic dog deworming coverage, slaughter management level, and health education level were adjusted to predict the changing trends in the number of human cases and infected sheep. The results showed that the number of human cases was most sensitive to the adjustment of health education level, followed by changes to vaccination coverage. The number of infected sheep was most sensitive to the adjustment of vaccination coverage, followed by the adjustment of slaughter management level. Based on these simulation results, the prevention and control measures for echinococcosis in Gansu Province were further optimized. The results showed that if the health education level and the vaccination coverage were increased by 50% and 40%, respectively, based on the current prevention and control levels, the number of human cases would approach zero by approximately 2026. When the vaccination coverage and slaughter management level increased by 60% and 45%, respectively, based on current prevention and control levels, the number of infected sheep would approach zero by approximately 2027. This study applied the SD method to the prevention and control of echinococcosis for the first time, and the results can provide key decision-making recommendations to optimize the prevention and control measures of echinococcosis in Gansu province. 
651 4 |a Gansu China 
651 4 |a China 
653 |a Infections 
653 |a Software 
653 |a Livestock 
653 |a Animals 
653 |a Mortality 
653 |a Cysts 
653 |a Optimization 
653 |a Sheep 
653 |a Disease prevention 
653 |a Prevention 
653 |a Feedback 
653 |a Immunization 
653 |a Dogs 
653 |a Small intestine 
653 |a Cattle 
653 |a Farming 
653 |a Slaughter 
653 |a Education 
653 |a Echinococcosis 
653 |a Public health 
653 |a System dynamics 
653 |a Eggs 
653 |a Worms 
653 |a Vaccination 
653 |a Domestic animals 
653 |a Decision making 
653 |a Disease transmission 
653 |a Environmental 
700 1 |a Liu, Xingyu 
700 1 |a He, Zengwen 
700 1 |a Zhang, Haohao 
700 1 |a Ma, Yonghui 
700 1 |a Fan, Ziqiu 
700 1 |a Zhao, Xuehui 
700 1 |a Ji Zhi 
700 1 |a Cao, Qing 
700 1 |a Xue, Huiwen 
700 1 |a Gou, Huitian 
773 0 |t PLoS Computational Biology  |g vol. 21, no. 9 (Sep 2025), p. e1013186-e1013203 
786 0 |d ProQuest  |t Health & Medical Collection 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3270867349/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3270867349/fulltext/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3270867349/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch