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Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) causes an immense disease burden. Although public health countermeasures effectively controlled the epidemic in China, non-pharmaceutical interventions can neither be maintained indefinitely nor conveniently implemented globally. Vaccination is m...

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Autores principales: Lin, Sheng-Nan, Rui, Jia, Chen, Qiu-Ping, Zhao, Bin, Yu, Shan-Shan, Li, Zhuo-Yang, Zhao, Ze-Yu, Wang, Yao, Zhu, Yuan-Zhao, Xu, Jing-Wen, Yang, Meng, Liu, Xing-Chun, Yang, Tian-Long, Luo, Li, Deng, Bin, Huang, Jie-Feng, Liu, Chan, Li, Pei-Hua, Liu, Wei-Kang, Xie, Fang, Chen, Yong, Su, Yan-Hua, Zhao, Ben-Hua, Chiang, Yi-Chen, Chen, Tian-Mu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054260/
https://www.ncbi.nlm.nih.gov/pubmed/33874998
http://dx.doi.org/10.1186/s40249-021-00835-2
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author Lin, Sheng-Nan
Rui, Jia
Chen, Qiu-Ping
Zhao, Bin
Yu, Shan-Shan
Li, Zhuo-Yang
Zhao, Ze-Yu
Wang, Yao
Zhu, Yuan-Zhao
Xu, Jing-Wen
Yang, Meng
Liu, Xing-Chun
Yang, Tian-Long
Luo, Li
Deng, Bin
Huang, Jie-Feng
Liu, Chan
Li, Pei-Hua
Liu, Wei-Kang
Xie, Fang
Chen, Yong
Su, Yan-Hua
Zhao, Ben-Hua
Chiang, Yi-Chen
Chen, Tian-Mu
author_facet Lin, Sheng-Nan
Rui, Jia
Chen, Qiu-Ping
Zhao, Bin
Yu, Shan-Shan
Li, Zhuo-Yang
Zhao, Ze-Yu
Wang, Yao
Zhu, Yuan-Zhao
Xu, Jing-Wen
Yang, Meng
Liu, Xing-Chun
Yang, Tian-Long
Luo, Li
Deng, Bin
Huang, Jie-Feng
Liu, Chan
Li, Pei-Hua
Liu, Wei-Kang
Xie, Fang
Chen, Yong
Su, Yan-Hua
Zhao, Ben-Hua
Chiang, Yi-Chen
Chen, Tian-Mu
author_sort Lin, Sheng-Nan
collection PubMed
description BACKGROUND: Novel coronavirus disease 2019 (COVID-19) causes an immense disease burden. Although public health countermeasures effectively controlled the epidemic in China, non-pharmaceutical interventions can neither be maintained indefinitely nor conveniently implemented globally. Vaccination is mainly used to prevent COVID-19, and most current antiviral treatment evaluations focus on clinical efficacy. Therefore, we conducted population-based simulations to assess antiviral treatment effectiveness among different age groups based on its clinical efficacy. METHODS: We collected COVID-19 data of Wuhan City from published literature and established a database (from 2 December 2019 to 16 March 2020). We developed an age-specific model to evaluate the effectiveness of antiviral treatment in patients with COVID-19. Efficacy was divided into three types: (1) viral activity reduction, reflected as transmission rate decrease [reduction was set as v (0–0.8) to simulate hypothetical antiviral treatments]; (2) reduction in the duration time from symptom onset to patient recovery/removal, reflected as a 1/γ decrease (reduction was set as 1–3 days to simulate hypothetical or real-life antiviral treatments, and the time of asymptomatic was reduced by the same proportion); (3) fatality rate reduction in severely ill patients (f(c)) [reduction (z) was set as 0.3 to simulate real-life antiviral treatments]. The population was divided into four age groups (groups 1, 2, 3 and 4), which included those aged ≤ 14; 15–44; 45–64; and ≥ 65 years, respectively. Evaluation indices were based on outbreak duration, cumulative number of cases, total attack rate (TAR), peak date, number of peak cases, and case fatality rate (f). RESULTS: Comparing the simulation results of combination and single medication therapy s, all four age groups showed better results with combination medication. When 1/γ = 2 and v = 0.4, age group 2 had the highest TAR reduction rate (98.48%, 56.01–0.85%). When 1/γ = 2, z = 0.3, and v = 0.1, age group 1 had the highest reduction rate of f (83.08%, 0.71–0.12%). CONCLUSIONS: Antiviral treatments are more effective in COVID-19 transmission control than in mortality reduction. Overall, antiviral treatments were more effective in younger age groups, while older age groups showed higher COVID-19 prevalence and mortality. Therefore, physicians should pay more attention to prevention of viral spread and patients deaths when providing antiviral treatments to patients of older age groups. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00835-2.
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spelling pubmed-80542602021-04-19 Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study Lin, Sheng-Nan Rui, Jia Chen, Qiu-Ping Zhao, Bin Yu, Shan-Shan Li, Zhuo-Yang Zhao, Ze-Yu Wang, Yao Zhu, Yuan-Zhao Xu, Jing-Wen Yang, Meng Liu, Xing-Chun Yang, Tian-Long Luo, Li Deng, Bin Huang, Jie-Feng Liu, Chan Li, Pei-Hua Liu, Wei-Kang Xie, Fang Chen, Yong Su, Yan-Hua Zhao, Ben-Hua Chiang, Yi-Chen Chen, Tian-Mu Infect Dis Poverty Research Article BACKGROUND: Novel coronavirus disease 2019 (COVID-19) causes an immense disease burden. Although public health countermeasures effectively controlled the epidemic in China, non-pharmaceutical interventions can neither be maintained indefinitely nor conveniently implemented globally. Vaccination is mainly used to prevent COVID-19, and most current antiviral treatment evaluations focus on clinical efficacy. Therefore, we conducted population-based simulations to assess antiviral treatment effectiveness among different age groups based on its clinical efficacy. METHODS: We collected COVID-19 data of Wuhan City from published literature and established a database (from 2 December 2019 to 16 March 2020). We developed an age-specific model to evaluate the effectiveness of antiviral treatment in patients with COVID-19. Efficacy was divided into three types: (1) viral activity reduction, reflected as transmission rate decrease [reduction was set as v (0–0.8) to simulate hypothetical antiviral treatments]; (2) reduction in the duration time from symptom onset to patient recovery/removal, reflected as a 1/γ decrease (reduction was set as 1–3 days to simulate hypothetical or real-life antiviral treatments, and the time of asymptomatic was reduced by the same proportion); (3) fatality rate reduction in severely ill patients (f(c)) [reduction (z) was set as 0.3 to simulate real-life antiviral treatments]. The population was divided into four age groups (groups 1, 2, 3 and 4), which included those aged ≤ 14; 15–44; 45–64; and ≥ 65 years, respectively. Evaluation indices were based on outbreak duration, cumulative number of cases, total attack rate (TAR), peak date, number of peak cases, and case fatality rate (f). RESULTS: Comparing the simulation results of combination and single medication therapy s, all four age groups showed better results with combination medication. When 1/γ = 2 and v = 0.4, age group 2 had the highest TAR reduction rate (98.48%, 56.01–0.85%). When 1/γ = 2, z = 0.3, and v = 0.1, age group 1 had the highest reduction rate of f (83.08%, 0.71–0.12%). CONCLUSIONS: Antiviral treatments are more effective in COVID-19 transmission control than in mortality reduction. Overall, antiviral treatments were more effective in younger age groups, while older age groups showed higher COVID-19 prevalence and mortality. Therefore, physicians should pay more attention to prevention of viral spread and patients deaths when providing antiviral treatments to patients of older age groups. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00835-2. BioMed Central 2021-04-19 /pmc/articles/PMC8054260/ /pubmed/33874998 http://dx.doi.org/10.1186/s40249-021-00835-2 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
Lin, Sheng-Nan
Rui, Jia
Chen, Qiu-Ping
Zhao, Bin
Yu, Shan-Shan
Li, Zhuo-Yang
Zhao, Ze-Yu
Wang, Yao
Zhu, Yuan-Zhao
Xu, Jing-Wen
Yang, Meng
Liu, Xing-Chun
Yang, Tian-Long
Luo, Li
Deng, Bin
Huang, Jie-Feng
Liu, Chan
Li, Pei-Hua
Liu, Wei-Kang
Xie, Fang
Chen, Yong
Su, Yan-Hua
Zhao, Ben-Hua
Chiang, Yi-Chen
Chen, Tian-Mu
Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study
title Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study
title_full Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study
title_fullStr Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study
title_full_unstemmed Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study
title_short Effectiveness of potential antiviral treatments in COVID-19 transmission control: a modelling study
title_sort effectiveness of potential antiviral treatments in covid-19 transmission control: a modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054260/
https://www.ncbi.nlm.nih.gov/pubmed/33874998
http://dx.doi.org/10.1186/s40249-021-00835-2
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