Could widespread use of antiviral treatment curb the COVID-19 pandemic? A modeling study

© 2022. The Author(s)..

BACKGROUND: Despite the development of safe and effective vaccines, effective treatments for COVID-19 disease are still urgently needed. Several antiviral drugs have shown to be effective in reducing progression of COVID-19 disease.

METHODS: In the present work, we use an agent-based mathematical model to assess the potential population impact of the use of antiviral treatments in four countries with different demographic structure and current levels of vaccination coverage: Kenya, Mexico, United States (US) and Belgium. We analyzed antiviral effects on reducing hospitalization and death, and potential antiviral effects on reducing transmission. For each country, we varied daily treatment initiation rate (DTIR) and antiviral effect in reducing transmission (AVT).

RESULTS: Irrespective of location and AVT, widespread antiviral treatment of symptomatic adult infections (20% DTIR) prevented the majority of COVID-19 deaths, and recruiting 6% of all adult symptomatic infections daily reduced mortality by over 20% in all countries. Furthermore, our model projected that targeting antiviral treatment to the oldest age group (65 years old and older, DTIR of 20%) can prevent over 30% of deaths. Our results suggest that early antiviral treatment (as soon as possible after inception of infection) is needed to mitigate transmission, preventing 50% more infections compared to late treatment (started 3 to 5 days after symptoms onset). Our results highlight the synergistic effect of vaccination and antiviral treatment: as the vaccination rate increases, antivirals have a larger relative impact on population transmission. Finally, our model projects that even in highly vaccinated populations, adding antiviral treatment can be extremely helpful to mitigate COVID-19 deaths.

CONCLUSIONS: These results suggest that antiviral treatments can become a strategic tool that, in combination with vaccination, can significantly reduce COVID-19 hospitalizations and deaths and can help control SARS-CoV-2 transmission.

Errataetall:

UpdateOf: medRxiv. 2022 Apr 04;:. - PMID 34790985

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:22

Enthalten in:

BMC infectious diseases - 22(2022), 1 vom: 09. Aug., Seite 683

Sprache:

Englisch

Beteiligte Personen:

Matrajt, Laura [VerfasserIn]
Brown, Elizabeth R [VerfasserIn]
Cohen, Myron S [VerfasserIn]
Dimitrov, Dobromir [VerfasserIn]
Janes, Holly [VerfasserIn]

Links:

Volltext

Themen:

Agent-based model
Antiviral Agents
Antiviral treatment
COVID-19
Journal Article
Mathematical model
SARS-CoV-2

Anmerkungen:

Date Completed 11.08.2022

Date Revised 01.11.2023

published: Electronic

UpdateOf: medRxiv. 2022 Apr 04;:. - PMID 34790985

Citation Status MEDLINE

doi:

10.1186/s12879-022-07639-1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM344648966