Literature DB >> 33874998

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

Sheng-Nan Lin1, Jia Rui1, Qiu-Ping Chen2, Bin Zhao3, Shan-Shan Yu1, Zhuo-Yang Li1, Ze-Yu Zhao1, Yao Wang1, Yuan-Zhao Zhu1, Jing-Wen Xu1, Meng Yang1, Xing-Chun Liu1, Tian-Long Yang1, Li Luo1, Bin Deng1, Jie-Feng Huang1, Chan Liu1, Pei-Hua Li1, Wei-Kang Liu1, Fang Xie1, Yong Chen4, Yan-Hua Su1, Ben-Hua Zhao5, Yi-Chen Chiang6, Tian-Mu Chen7.   

Abstract

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 (fc) [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.

Entities:  

Keywords:  Age group; Antiviral treatment; COVID-19; Transmission model

Year:  2021        PMID: 33874998     DOI: 10.1186/s40249-021-00835-2

Source DB:  PubMed          Journal:  Infect Dis Poverty        ISSN: 2049-9957            Impact factor:   4.520


  51 in total

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2.  Hospital readmissions and post-discharge all-cause mortality in COVID-19 recovered patients; A systematic review and meta-analysis.

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