Evidence map›Paper›PMID 35945513›Full record

ArticleBMC infectious diseases2022

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

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

Abstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  4. Review
  5. Selected Cannabinoids, Cannabimimetic Agents andPharmaceuticals (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Laura MatrajtVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA. laurama@fredhutch.org.ORCID http://orcid.org/0000-0003-4495-7245
Elizabeth R BrownVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA.
Myron S CohenVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA.
Dobromir DimitrovVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA.
Holly JanesVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA.

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
Leadership Group for the Infectious Diseases Clinical Research Consortium (IDCRCLG) - Momi-Vax DMID #21-0004 {Supplement #6}UM1AI148684 · NIAID · EMORY UNIVERSITY · PI DAVID S STEPHENS · 2020 to 2026
$77.2M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Statistical Methods for Evaluating Markers for Treatment SelectionR01CA152089 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JANES, HOLLY · 2010 to 2021
$3.8M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Statistical Methods for Evaluating and Guiding Implementation of New HIV Prevention StrategiesR56AI143418 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JANES, HOLLY · 2019 to 2022
$816k
CDC HHS NU38OT000297-02NCI NIH HHS R01 CA152089NIAID NIH HHS P30 AI050410NIAID NIH HHS R56 AI143418NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIAID NIH HHS UM1 AI068635NIAID NIH HHS UM1 AI148684NIH HHS P30AI050410NIH HHS R01CA152089NIH HHS R56AI143418NIH HHS S10 OD028685NIH HHS S10OD028685NIH HHS UM1AI068619NIH HHS UM1 AI068635NIH HHS UM1AI148684
6 · The paper itself

Abstract

backgroundDespite 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.

methodsIn 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).

resultsIrrespective 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.

conclusionsThese 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.

Indexed as

COVID-19COVID-19 Drug TreatmentAdultAgedAntiviral AgentsHospitalizationHumansPandemicsSARS-CoV-2United StatesAntiviral AgentsAgent-based modelAntiviral treatmentCOVID-19Mathematical modelSARS-CoV-2

Identifiers

PMID35945513
PMCPMC9361252

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.