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Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study
BACKGROUND: Hepatitis E, an acute zoonotic disease caused by the hepatitis E virus (HEV), has a relatively high burden in developing countries. The current research model on hepatitis E mainly uses experimental animal models (such as pigs, chickens, and rabbits) to explain the transmission of HEV. F...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240442/ https://www.ncbi.nlm.nih.gov/pubmed/34187566 http://dx.doi.org/10.1186/s40249-021-00873-w |
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author | Yang, Meng Cheng, Xiao-Qing Zhao, Ze-Yu Li, Pei-Hua Rui, Jia Lin, Sheng-Nan Xu, Jing-Wen Zhu, Yuan-Zhao Wang, Yao Liu, Xing-Chun Luo, Li Deng, Bin Liu, Chan Huang, Jie-Feng Yang, Tian-Long Li, Zhuo-Yang Liu, Wei-Kang Liu, Wen-Dong Zhao, Ben-Hua He, Yue Yin, Qi Mao, Si-Ying Su, Yan-Hua Zhang, Xue-Feng Chen, Tian-Mu |
author_facet | Yang, Meng Cheng, Xiao-Qing Zhao, Ze-Yu Li, Pei-Hua Rui, Jia Lin, Sheng-Nan Xu, Jing-Wen Zhu, Yuan-Zhao Wang, Yao Liu, Xing-Chun Luo, Li Deng, Bin Liu, Chan Huang, Jie-Feng Yang, Tian-Long Li, Zhuo-Yang Liu, Wei-Kang Liu, Wen-Dong Zhao, Ben-Hua He, Yue Yin, Qi Mao, Si-Ying Su, Yan-Hua Zhang, Xue-Feng Chen, Tian-Mu |
author_sort | Yang, Meng |
collection | PubMed |
description | BACKGROUND: Hepatitis E, an acute zoonotic disease caused by the hepatitis E virus (HEV), has a relatively high burden in developing countries. The current research model on hepatitis E mainly uses experimental animal models (such as pigs, chickens, and rabbits) to explain the transmission of HEV. Few studies have developed a multi-host and multi-route transmission dynamic model (MHMRTDM) to explore the transmission feature of HEV. Hence, this study aimed to explore its transmission and evaluate the effectiveness of intervention using the dataset of Jiangsu Province. METHODS: We developed a dataset comprising all reported HEV cases in Jiangsu Province from 2005 to 2018. The MHMRTDM was developed according to the natural history of HEV cases among humans and pigs and the multi-transmission routes such as person-to-person, pig-to-person, and environment-to-person. We estimated the key parameter of the transmission using the principle of least root mean square to fit the curve of the MHMRTDM to the reported data. We developed models with single or combined countermeasures to assess the effectiveness of interventions, which include vaccination, shortening the infectious period, and cutting transmission routes. The indicator, total attack rate (TAR), was adopted to assess the effectiveness. RESULTS: From 2005 to 2018, 44 923 hepatitis E cases were reported in Jiangsu Province. The model fits the data well (R(2) = 0.655, P < 0.001). The incidence of the disease in Jiangsu Province and its cities peaks are around March; however, transmissibility of the disease peaks in December and January. The model showed that the most effective intervention was interrupting the pig-to-person route during the incidence trough of September, thereby reducing the TAR by 98.11%, followed by vaccination (reducing the TAR by 76.25% when the vaccination coefficient is 100%) and shortening the infectious period (reducing the TAR by 50.05% when the infectious period is shortened to 15 days). CONCLUSIONS: HEV could be controlled by interrupting the pig-to-person route, shortening the infectious period, and vaccination. Among these interventions, the most effective was interrupting the pig-to-person route. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00873-w. |
format | Online Article Text |
id | pubmed-8240442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82404422021-06-29 Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study Yang, Meng Cheng, Xiao-Qing Zhao, Ze-Yu Li, Pei-Hua Rui, Jia Lin, Sheng-Nan Xu, Jing-Wen Zhu, Yuan-Zhao Wang, Yao Liu, Xing-Chun Luo, Li Deng, Bin Liu, Chan Huang, Jie-Feng Yang, Tian-Long Li, Zhuo-Yang Liu, Wei-Kang Liu, Wen-Dong Zhao, Ben-Hua He, Yue Yin, Qi Mao, Si-Ying Su, Yan-Hua Zhang, Xue-Feng Chen, Tian-Mu Infect Dis Poverty Research Article BACKGROUND: Hepatitis E, an acute zoonotic disease caused by the hepatitis E virus (HEV), has a relatively high burden in developing countries. The current research model on hepatitis E mainly uses experimental animal models (such as pigs, chickens, and rabbits) to explain the transmission of HEV. Few studies have developed a multi-host and multi-route transmission dynamic model (MHMRTDM) to explore the transmission feature of HEV. Hence, this study aimed to explore its transmission and evaluate the effectiveness of intervention using the dataset of Jiangsu Province. METHODS: We developed a dataset comprising all reported HEV cases in Jiangsu Province from 2005 to 2018. The MHMRTDM was developed according to the natural history of HEV cases among humans and pigs and the multi-transmission routes such as person-to-person, pig-to-person, and environment-to-person. We estimated the key parameter of the transmission using the principle of least root mean square to fit the curve of the MHMRTDM to the reported data. We developed models with single or combined countermeasures to assess the effectiveness of interventions, which include vaccination, shortening the infectious period, and cutting transmission routes. The indicator, total attack rate (TAR), was adopted to assess the effectiveness. RESULTS: From 2005 to 2018, 44 923 hepatitis E cases were reported in Jiangsu Province. The model fits the data well (R(2) = 0.655, P < 0.001). The incidence of the disease in Jiangsu Province and its cities peaks are around March; however, transmissibility of the disease peaks in December and January. The model showed that the most effective intervention was interrupting the pig-to-person route during the incidence trough of September, thereby reducing the TAR by 98.11%, followed by vaccination (reducing the TAR by 76.25% when the vaccination coefficient is 100%) and shortening the infectious period (reducing the TAR by 50.05% when the infectious period is shortened to 15 days). CONCLUSIONS: HEV could be controlled by interrupting the pig-to-person route, shortening the infectious period, and vaccination. Among these interventions, the most effective was interrupting the pig-to-person route. GRAPHIC ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00873-w. BioMed Central 2021-06-29 /pmc/articles/PMC8240442/ /pubmed/34187566 http://dx.doi.org/10.1186/s40249-021-00873-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yang, Meng Cheng, Xiao-Qing Zhao, Ze-Yu Li, Pei-Hua Rui, Jia Lin, Sheng-Nan Xu, Jing-Wen Zhu, Yuan-Zhao Wang, Yao Liu, Xing-Chun Luo, Li Deng, Bin Liu, Chan Huang, Jie-Feng Yang, Tian-Long Li, Zhuo-Yang Liu, Wei-Kang Liu, Wen-Dong Zhao, Ben-Hua He, Yue Yin, Qi Mao, Si-Ying Su, Yan-Hua Zhang, Xue-Feng Chen, Tian-Mu Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study |
title | Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study |
title_full | Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study |
title_fullStr | Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study |
title_full_unstemmed | Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study |
title_short | Feasibility of controlling hepatitis E in Jiangsu Province, China: a modelling study |
title_sort | feasibility of controlling hepatitis e in jiangsu province, china: a modelling study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240442/ https://www.ncbi.nlm.nih.gov/pubmed/34187566 http://dx.doi.org/10.1186/s40249-021-00873-w |
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