Evidence map›Paper›PMID 38181800›Full record

ArticleEmerging infectious diseases2024

Public Health Impact of Paxlovid as Treatment for COVID-19, United States.

Yuan Bai, Zhanwei Du, Lin Wang, Eric H Y Lau, Isaac Chun-Hai Fung, Petter Holme, Benjamin J Cowling, Alison P Galvani, Robert M Krug, Lauren Ancel Meyers

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. COVID-19 Infection, Drugs, and Liver Injury.Journal of clinical medicine · 2025
    Review
  4. Article
  5. Osage Orange (Pathogens (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yuan Bai
Zhanwei Du
Lin Wang
Eric H Y Lau
Isaac Chun-Hai Fung
Petter Holme
Benjamin J Cowling
Alison P Galvani
Robert M Krug
Lauren Ancel Meyers

Funding

Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial dataR01AI151176 · NIAID · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2020 to 2024
$3.9M
ACL HHS U01IP001136NIAID NIH HHS R01 AI151176
6 · The paper itself

Abstract

We evaluated the population-level benefits of expanding treatment with the antiviral drug Paxlovid (nirmatrelvir/ritonavir) in the United States for SARS-CoV-2 Omicron variant infections. Using a multiscale mathematical model, we found that treating 20% of symptomatic case-patients with Paxlovid over a period of 300 days beginning in January 2022 resulted in life and cost savings. In a low-transmission scenario (effective reproduction number of 1.2), this approach could avert 0.28 million (95% CI 0.03-0.59 million) hospitalizations and save US $56.95 billion (95% CI US $2.62-$122.63 billion). In a higher transmission scenario (effective reproduction number of 3), the benefits increase, potentially preventing 0.85 million (95% CI 0.36-1.38 million) hospitalizations and saving US $170.17 billion (95% CI US $60.49-$286.14 billion). Our findings suggest that timely and widespread use of Paxlovid could be an effective and economical approach to mitigate the effects of COVID-19.

Indexed as

COVID-19LactamsLeucineNitrilesProlinePublic HealthRitonavirAntiviral AgentsDrug CombinationsHumansSARS-CoV-2United StatesAntiviral AgentsDrug CombinationsLactamsLeucinenirmatrelvir and ritonavir drug combinationNitrilesProlineRitonavircoronavirus diseaseCOVID-19mathematical modelPaxlovidpublic health impactrespiratory infectionsSARS-CoV-2SARS-CoV-2 transmissionsevere acute respiratory syndrome coronavirus 2treatmentUnited Statesviruseszoonoses

Identifiers

PMID38181800
PMCPMC10826746

What OpenQuestion holds

Textmetadata
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.