Evidence map›Paper›PMID 37292707›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Predicting the public health impact of bivalent vaccines and nirmatrelvir-ritonavir against COVID-19.

Hailey J Park, Sophia T Tan, Tomás M León, Seema Jain, Robert Schechter, Nathan C Lo

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Hailey J ParkDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Sophia T TanDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
Tomás M LeónCalifornia Department of Public Health, Richmond, CA, USA.
Seema JainCalifornia Department of Public Health, Richmond, CA, USA.
Robert SchechterCalifornia Department of Public Health, Richmond, CA, USA.
Nathan C LoDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.
California Department of Public Health · USUniversity of California, San Francisco · US

Funding

Real-time predictive modeling for public health departments to control infectious diseasesDP2AI170485 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nathan Lo · 2022 to 2026
$2.3M
NIAID NIH HHS DP2 AI170485
6 · The paper itself

Abstract

Background: Uptake of COVID-19 bivalent vaccines and oral medication nirmatrelvir-ritonavir (Paxlovid) has remained low across the United States. Assessing the public health impact of increasing uptake of these interventions in key risk groups can guide further public health resources and policy. Methods: This modeling study used person-level data from the California Department of Public Health on COVID-19 cases, hospitalizations, deaths, and vaccine administration from July 23, 2022 to January 23, 2023. We modeled the impact of additional uptake of bivalent COVID-19 vaccines and nirmatrelvir-ritonavir during acute illness in different risk groups defined by age (50+, 65+, 75+ years) and vaccination status (everyone, primary series only, previously vaccinated). We predicted the number of averted COVID-19 cases, hospitalizations, and deaths and number needed to treat (NNT). Results: For both bivalent vaccines and nirmatrelvir-ritonavir, the most efficient strategy (based on NNT) for averting severe COVID-19 was targeting the 75+ years group. We predicted that perfect coverage of bivalent boosters in the 75+ years group would avert 3,920 hospitalizations (95%UI: 2,491-4,882; 7.8% total averted; NNT 387) and 1,074 deaths (95%UI: 774-1,355; 16.2% total averted; NNT 1,410). Perfect uptake of nirmatrelvir-ritonavir in the 75+ years group would avert 5,644 hospitalizations (95%UI: 3,947-6,826; 11.2% total averted; NNT 11) and 1,669 deaths (95%UI: 1,053-2,038; 25.2% total averted; NNT 35). Conclusions: These findings suggest prioritizing uptake of bivalent boosters and nirmatrelvir-ritonavir among the oldest age groups would be efficient and have substantial public health impact in reducing the burden of severe COVID-19, but would not address the entire burden of severe COVID-19.

Identifiers

PMID37292707
PMCPMC10246024
OpenAlexW4377195032

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.