Evidence map›Paper›PMID 36798204›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Benefits of near-universal vaccination and treatment access to manage COVID-19 burden in the United States.

Fuhan Yang, Thu Nguyen-Anh Tran, Emily Howerton, Maciej F Boni, Joseph L Servadio

Abstract 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Fuhan YangDepartment of Biology and Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, United States.
Thu Nguyen-Anh TranDepartment of Biology and Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, United States.
Emily HowertonDepartment of Biology and Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, United States.
Maciej F BoniDepartment of Biology and Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, United States.
Joseph L ServadioDepartment of Biology and Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, United States.

Funding

Evaluating seasonality of influenza in the tropics: Case study in VietnamF32AI167600 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI SERVADIO, JOSEPH · 2022 to 2024
$215k
NIAID NIH HHS F32 AI167600NIAID NIH HHS HHSN272201400007C
6 · The paper itself

Abstract

Background: As we enter the fourth year of the COVID-19 pandemic, SARS-CoV-2 infections still cause high morbidity and mortality in the United States. During 2020-2022, COVID-19 was one of the leading causes of death in the United States and by far the leading cause among infectious diseases. Vaccination uptake remains low despite this being an effective burden reducing intervention. The development of COVID-19 therapeutics provides hope for mitigating severe clinical outcomes. This modeling study examines combined strategies of vaccination and treatment to reduce the burden of COVID-19 epidemics over the next decade. Methods: We use a validated mathematical model to evaluate the reduction of incident cases, hospitalized cases, and deaths in the United States through 2033 under various levels of vaccination and treatment coverage. We assume that future seasonal transmission patterns for COVID-19 will be similar to those of influenza virus. We account for the waning of infection-induced immunity and vaccine-induced immunity in a future with stable COVID-19 dynamics. Due to uncertainty in the duration of immunity following vaccination or infection, we consider two exponentially-distributed waning rates, with means of 365 days (one year) and 548 days (1.5 years). We also consider treatment failure, including rebound frequency, as a possible treatment outcome. Results: As expected, universal vaccination is projected to eliminate transmission and mortality. Under current treatment coverage (13.7%) and vaccination coverage (49%), averages of 89,000 annual deaths (548-day waning) and 120,000 annual deaths (365-day waning) are expected by the end of this decade. Annual mortality in the United States can be reduced below 50,000 per year with >81% annual vaccination coverage, and below 10,000 annual deaths with >84% annual vaccination coverage. Universal treatment reduces hospitalizations by 88% and deaths by 93% under current vaccination coverage. A reduction in vaccination coverage requires a comparatively larger increase in treatment coverage in order for hospitalization and mortality levels to remain unchanged. Conclusions: Adopting universal vaccination and universal treatment goals in the United States will likely lead to a COVID-19 mortality burden below 50,000 deaths per year, a burden comparable to that of influenza virus.

Identifiers

PMID36798204
PMCPMC9934803

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LicenceCC BY-NC-ND
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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.