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Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China

BACKGROUND: Developing countries exhibit a high disease burden from shigellosis. Owing to the different incidences in males and females, this study aims to analyze the features involved in the transmission of shigellosis among male (subscript m) and female (subscript f) individuals using a newly dev...

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Autores principales: Zhao, Ze-Yu, Chen, Qi, Zhao, Bin, Hannah, Mikah Ngwanguong, Wang, Ning, Wang, Yu-Xin, Xuan, Xian-Fa, Rui, Jia, Chu, Mei-Jie, Yu, Shan-Shan, Wang, Yao, Liu, Xing-Chun, An, Ran, Pan, Li-Li, Chiang, Yi-Chen, Su, Yan-Hua, Zhao, Ben-Hua, Chen, Tian-Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162736/
https://www.ncbi.nlm.nih.gov/pubmed/32299485
http://dx.doi.org/10.1186/s40249-020-00654-x
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author Zhao, Ze-Yu
Chen, Qi
Zhao, Bin
Hannah, Mikah Ngwanguong
Wang, Ning
Wang, Yu-Xin
Xuan, Xian-Fa
Rui, Jia
Chu, Mei-Jie
Yu, Shan-Shan
Wang, Yao
Liu, Xing-Chun
An, Ran
Pan, Li-Li
Chiang, Yi-Chen
Su, Yan-Hua
Zhao, Ben-Hua
Chen, Tian-Mu
author_facet Zhao, Ze-Yu
Chen, Qi
Zhao, Bin
Hannah, Mikah Ngwanguong
Wang, Ning
Wang, Yu-Xin
Xuan, Xian-Fa
Rui, Jia
Chu, Mei-Jie
Yu, Shan-Shan
Wang, Yao
Liu, Xing-Chun
An, Ran
Pan, Li-Li
Chiang, Yi-Chen
Su, Yan-Hua
Zhao, Ben-Hua
Chen, Tian-Mu
author_sort Zhao, Ze-Yu
collection PubMed
description BACKGROUND: Developing countries exhibit a high disease burden from shigellosis. Owing to the different incidences in males and females, this study aims to analyze the features involved in the transmission of shigellosis among male (subscript m) and female (subscript f) individuals using a newly developed sex-based model. METHODS: The data of reported shigellosis cases were collected from the China Information System for Disease Control and Prevention in Hubei Province from 2005 to 2017. A sex-based Susceptible–Exposed–Infectious/Asymptomatic–Recovered (SEIAR) model was applied to explore the dataset, and a sex-age-based SEIAR model was applied in 2010 to explore the sex- and age-specific transmissions. RESULTS: From 2005 to 2017, 130 770 shigellosis cases (including 73 981 male and 56 789 female cases) were reported in Hubei Province. The SEIAR model exhibited a significant fitting effect with the shigellosis data (P <  0.001). The median values of the shigellosis transmission were 2.3225 × 10(8) for SAR(mm) (secondary attack rate from male to male), 2.5729 × 10(8) for SAR(mf), 2.7630 × 10(-8) for SAR(fm), and 2.1061 × 10(-8) for SAR(ff). The top five mean values of the transmission relative rate in 2010 (where the subscript 1 was defined as male and age ≤ 5 years, 2 was male and age 6 to 59 years, 3 was male and age ≥ 60 years, 4 was female and age ≤ 5 years, 5 was female and age 6 to 59 years, and 6 was male and age ≥ 60 years) were 5.76 × 10(-8) for β(61), 5.32 × 10(-8) for β(31), 4.01 × 10(-8) for β(34), 7.52 × 10(-9) for β(62), and 6.04 × 10(-9) for β(64). CONCLUSIONS: The transmissibility of shigellosis differed among male and female individuals. The transmissibility between the genders was higher than that within the genders, particularly female-to-male transmission. The most important route in children (age ≤ 5 years) was transmission from the elderly (age ≥ 60 years). Therefore, the greatest interventions should be applied in females and the elderly.
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spelling pubmed-71627362020-04-17 Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China Zhao, Ze-Yu Chen, Qi Zhao, Bin Hannah, Mikah Ngwanguong Wang, Ning Wang, Yu-Xin Xuan, Xian-Fa Rui, Jia Chu, Mei-Jie Yu, Shan-Shan Wang, Yao Liu, Xing-Chun An, Ran Pan, Li-Li Chiang, Yi-Chen Su, Yan-Hua Zhao, Ben-Hua Chen, Tian-Mu Infect Dis Poverty Research Article BACKGROUND: Developing countries exhibit a high disease burden from shigellosis. Owing to the different incidences in males and females, this study aims to analyze the features involved in the transmission of shigellosis among male (subscript m) and female (subscript f) individuals using a newly developed sex-based model. METHODS: The data of reported shigellosis cases were collected from the China Information System for Disease Control and Prevention in Hubei Province from 2005 to 2017. A sex-based Susceptible–Exposed–Infectious/Asymptomatic–Recovered (SEIAR) model was applied to explore the dataset, and a sex-age-based SEIAR model was applied in 2010 to explore the sex- and age-specific transmissions. RESULTS: From 2005 to 2017, 130 770 shigellosis cases (including 73 981 male and 56 789 female cases) were reported in Hubei Province. The SEIAR model exhibited a significant fitting effect with the shigellosis data (P <  0.001). The median values of the shigellosis transmission were 2.3225 × 10(8) for SAR(mm) (secondary attack rate from male to male), 2.5729 × 10(8) for SAR(mf), 2.7630 × 10(-8) for SAR(fm), and 2.1061 × 10(-8) for SAR(ff). The top five mean values of the transmission relative rate in 2010 (where the subscript 1 was defined as male and age ≤ 5 years, 2 was male and age 6 to 59 years, 3 was male and age ≥ 60 years, 4 was female and age ≤ 5 years, 5 was female and age 6 to 59 years, and 6 was male and age ≥ 60 years) were 5.76 × 10(-8) for β(61), 5.32 × 10(-8) for β(31), 4.01 × 10(-8) for β(34), 7.52 × 10(-9) for β(62), and 6.04 × 10(-9) for β(64). CONCLUSIONS: The transmissibility of shigellosis differed among male and female individuals. The transmissibility between the genders was higher than that within the genders, particularly female-to-male transmission. The most important route in children (age ≤ 5 years) was transmission from the elderly (age ≥ 60 years). Therefore, the greatest interventions should be applied in females and the elderly. BioMed Central 2020-04-17 /pmc/articles/PMC7162736/ /pubmed/32299485 http://dx.doi.org/10.1186/s40249-020-00654-x Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Zhao, Ze-Yu
Chen, Qi
Zhao, Bin
Hannah, Mikah Ngwanguong
Wang, Ning
Wang, Yu-Xin
Xuan, Xian-Fa
Rui, Jia
Chu, Mei-Jie
Yu, Shan-Shan
Wang, Yao
Liu, Xing-Chun
An, Ran
Pan, Li-Li
Chiang, Yi-Chen
Su, Yan-Hua
Zhao, Ben-Hua
Chen, Tian-Mu
Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China
title Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China
title_full Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China
title_fullStr Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China
title_full_unstemmed Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China
title_short Relative transmissibility of shigellosis among male and female individuals: a modeling study in Hubei Province, China
title_sort relative transmissibility of shigellosis among male and female individuals: a modeling study in hubei province, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162736/
https://www.ncbi.nlm.nih.gov/pubmed/32299485
http://dx.doi.org/10.1186/s40249-020-00654-x
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