Evidence map›Paper›PMID 42006769›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Assessing the Impact of Timing and Coverage of United States COVID-19 Vaccination Campaigns: A Multi-Model Approach.

Anjalika Nande, Soren L Larsen, James Turtle, Jessica T Davis, Shraddha Ramdas Bandekar, Bryan Lewis, Shi Chen, Lucie Contamin, Sung-Mok Jung, Emily Howerton and 25 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

35 authors.

Anjalika NandeJohns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0003-1726-6633
Soren L LarsenUniversity of Illinois, Urbana Champaign, Urbana, Illinois, USA.ORCID 0000-0003-3409-3447
James TurtlePredictive Science Inc., San Diego, California, USA.ORCID 0000-0003-0735-7769
Jessica T DavisNortheastern University, Boston, Massachusetts, USA.ORCID 0000-0003-0726-1855
Shraddha Ramdas BandekarUniversity of Texas at Austin, Austin, Texas, USA.ORCID 0000-0001-5063-2290
Bryan LewisUniversity of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-0793-6082
Shi ChenUniversity of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-2316-111X
Lucie ContaminUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-5797-1279
Sung-Mok JungNational University of Singapore, Singapore, Singapore.ORCID 0000-0002-0787-4515
Emily HowertonPrinceton University, Princeton, New Jersey, USA.ORCID 0000-0002-0639-3728
Katriona SheaThe Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-7607-8248
Clara BayNortheastern University, Boston, Massachusetts, USA.ORCID 0000-0002-4428-3001
Michal Ben-NunPredictive Science Inc., San Diego, California, USA.ORCID 0000-0002-9164-0008
Kaiming BiThe University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0001-6234-6232
Anass BouchnitaUniversity of Texas at El Paso, El Paso, Texas, USA.ORCID 0000-0002-2729-6484
Jiangzhuo ChenUniversity of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-2729-3881
Matteo ChinazziNortheastern University, Boston, Massachusetts, USA.ORCID 0000-0002-5955-1929
Spencer J FoxNorthern Arizona University, Flagstaff, Arizona, USA.ORCID 0000-0003-1969-3778
Alison L HillJohns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-6583-3623
Harry HochheiserUniversity of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-8793-9982
Joseph C LemaitreUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-2677-6574
Sara L LooJohns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0001-9763-5587
Madhav MaratheUniversity of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-1653-0658
Lauren Ancel MeyersUniversity of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-5828-8874
Carl A B PearsonUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-0701-7860
Przemyslaw PorebskiUniversity of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0001-8012-5791
Emily PrzykuckiUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Claire P SmithUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-1069-9460
Srinivasan VenkatramananUniversity of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-0874-8692
Alessandro VespignaniNortheastern University, Boston, Massachusetts, USA.ORCID 0000-0003-3419-4205
Timothy C WillardUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Katie YanThe Pennsylvania State University, University Park, Pennsylvania, USA.ORCID 0000-0002-8381-504X
Cecile ViboudNational Institutes of Health Fogarty International Center, Bethesda, Maryland, USA.ORCID 0000-0003-3243-4711
Justin LesslerUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-9741-8109
Shaun TrueloveJohns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0003-0538-0607

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
MIDAS Coordination CenterU24GM132013 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOCHHEISER, HARRY S · 2019 to 2023
$8.1M
MIDAS Coordination Center - Year 6-10R24GM153920 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 2024 to 2026
$4.3M
Novel data and approaches for dynamic modeling of human behavior and infectious disease ecologyR35GM156856 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Ayesha Sanchita Mahmud · 2024 to 2026
$1.2M
NCIRD CDC HHS U01 IP001136NIGMS NIH HHS R24 GM153920NIGMS NIH HHS R35 GM156856NIGMS NIH HHS U24 GM132013NIH HHS 75N91019D00024
6 · The paper itself

Abstract

Six years after its emergence, SARS-CoV-2 continues to have a substantial burden, however, the impact of vaccination and the optimal timing of its rollout remain uncertain. To explore these uncertainties, the US Scenario Modeling Hub convened its 19th round of ensemble projections for COVID-19 hospitalizations and deaths in the United States. Eight teams provided outcomes for each US state and nationally from April 2025 to April 2026 under five scenarios regarding vaccine recommendations and timing. We assessed recommendations with two eligibility scenarios (high-risk individuals only and all-eligible) and two timing scenarios (classic start: mid-August, earlier start: late June). These were crossed to create four scenarios and were compared against a counterfactual scenario with no vaccination. We found that compared to no vaccination, our ensemble projections estimated 90,000 (95% PI 53,000-126,000) hospitalizations averted in the high-risk and classic timing scenario across the US. Expanding coverage averted an additional 26,000 (95% PI 14,000-39,000) hospitalizations, which when coupled with earlier vaccination timing further reduced national hospitalizations by 15,000 (95% PI -3,000-33,000). These findings estimate significant benefits from a broad all-eligible vaccination recommendation, and suggest an additional benefit is likely to be gained from an earlier vaccination campaign.

Indexed as

‘COVID-19’‘Ensemble projections’‘Mathematical modeling’‘Multi-model aggregation’‘Scenario modeling’‘Seasonal dynamics of respiratory infections’‘Vaccination timing and coverage strategies’

Identifiers

PMID42006769
PMCPMC13086075

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.