Evidence map›Paper›PMID 40995047›Full record

ArticleOpen forum infectious diseases2025

Estimating Population Immunity and Impact of COVID-19 Vaccination in Washington State and Oregon.

Mia Moore, Larissa Anderson, Chloe Bracis, David A Swan, Ian Painter, Erik Everson, Holly Janes, Joshua T Schiffer, Laura Matrajt, Dobromir Dimitrov

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. 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

10 authors.

Mia MooreFred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID https://orcid.org/0000-0001-5055-7075
Larissa AndersonFred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-4259-4068
Chloe BracisUniversity of Grenobles Alpes, Grenoble, France.ORCID https://orcid.org/0000-0003-4058-7638
David A SwanFred Hutchinson Cancer Center, Seattle, Washington, USA.
Ian PainterWashington State Department of Health, Shoreline, Washington, USA.
Erik EversonOregon Health Authority, Portland, Oregon, USA.ORCID https://orcid.org/0009-0008-4729-7805
Holly JanesFred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-3237-984X
Joshua T SchifferFred Hutchinson Cancer Center, Seattle, Washington, USA.
Laura MatrajtFred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID https://orcid.org/0000-0003-4495-7245
Dobromir DimitrovFred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID https://orcid.org/0000-0002-2842-5436

Funding

SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
NIAID NIH HHS UM1 AI068635
6 · The paper itself

Abstract

Background: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccine showed high clinical efficacy against the ancestral variant, but immunological waning, emergence of new variants, and the durability of infection-induced immunity complicate the estimation of population-level effectiveness. We used mathematical modeling to calculate the proportion of hospitalizations averted by vaccination in Washington and Oregon. Methods: We used an age- and region-structured compartmental model of vaccine-induced and infection-induced immunity from January 2020 until December 2022. We parameterized the strength and durability of immunity via a meta-regression of vaccine efficacy. We calibrated a time-varying contact matrix to weekly hospitalizations reported by the Washington Department of Health and Oregon Health Authority. We validated our model with Centers for Disease Control and Prevention serosurveillance data. To estimate vaccine effectiveness, we created counterfactual scenarios with no vaccination either in the entire population or in select age groups. Results: We found that total hospitalizations were reduced 74% (95% credible interval [CrI], 69%-78%) and 15% (95% CrI, 9%-19%) by primary vaccination and boosters, respectively. Vaccination effectiveness was highest during the Alpha wave, averting 90% (95% CrI, 88%-93%) of hospitalizations and in people aged 65+, averting 78% (95% CrI, 73%-81%). Relative to only vaccinating individuals aged 50+, vaccination of individuals aged 18-49 averted 52% (95% CrI, 44%-58%) of hospitalizations overall and 42% (95% CrI, 35%-48%) of hospitalizations among individuals 65+. Conclusions: The SARS-CoV-2 vaccination program in Washington and Oregon averted the majority of hospitalizations. Vaccinating individuals aged 18-49 significantly reduced hospitalization among individuals aged 65+.

Indexed as

compartmental epidemic modelcounterfactual modelingCOVID-19mRNA vaccinesSARS-CoV-2 vaccine effectiveness

Identifiers

PMID40995047
PMCPMC12456170

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Registered trials

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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.