Literature DB >> 33411742

The value of decreasing the duration of the infectious period of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

Bruce Y Lee1, Sarah M Bartsch1, Marie C Ferguson1, Patrick T Wedlock1, Kelly J O'Shea1, Sheryl S Siegmund1, Sarah N Cox1, James A McKinnell2,3.   

Abstract

Finding medications or vaccines that may decrease the infectious period of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could potentially reduce transmission in the broader population. We developed a computational model of the U.S. simulating the spread of SARS-CoV-2 and the potential clinical and economic impact of reducing the infectious period duration. Simulation experiments found that reducing the average infectious period duration could avert a median of 442,852 [treating 25% of symptomatic cases, reducing by 0.5 days, reproductive number (R0) 3.5, and starting treatment when 15% of the population has been exposed] to 44.4 million SARS-CoV-2 cases (treating 75% of all infected cases, reducing by 3.5 days, R0 2.0). With R0 2.5, reducing the average infectious period duration by 0.5 days for 25% of symptomatic cases averted 1.4 million cases and 99,398 hospitalizations; increasing to 75% of symptomatic cases averted 2.8 million cases. At $500/person, treating 25% of symptomatic cases saved $209.5 billion (societal perspective). Further reducing the average infectious period duration by 3.5 days averted 7.4 million cases (treating 25% of symptomatic cases). Expanding treatment to 75% of all infected cases, including asymptomatic infections (R0 2.5), averted 35.9 million cases and 4 million hospitalizations, saving $48.8 billion (societal perspective and starting treatment after 5% of the population has been exposed). Our study quantifies the potential effects of reducing the SARS-CoV-2 infectious period duration.

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Year:  2021        PMID: 33411742      PMCID: PMC7790237          DOI: 10.1371/journal.pcbi.1008470

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  46 in total

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Journal:  Clinicoecon Outcomes Res       Date:  2022-04-28

2.  Optimizing global COVID-19 vaccine allocation: An agent-based computational model of 148 countries.

Authors:  Qingfeng Li; Yajing Huang
Journal:  PLoS Comput Biol       Date:  2022-09-06       Impact factor: 4.779

3.  Maintaining face mask use before and after achieving different COVID-19 vaccination coverage levels: a modelling study.

Authors:  Sarah M Bartsch; Kelly J O'Shea; Kevin L Chin; Ulrich Strych; Marie C Ferguson; Maria Elena Bottazzi; Patrick T Wedlock; Sarah N Cox; Sheryl S Siegmund; Peter J Hotez; Bruce Y Lee
Journal:  Lancet Public Health       Date:  2022-03-08

4.  Lower probability and shorter duration of infections after COVID-19 vaccine correlate with anti-SARS-CoV-2 circulating IgGs.

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Journal:  PLoS One       Date:  2022-01-31       Impact factor: 3.240

  4 in total

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