Evidence map›Paper›PMID 39041059›Full record

ArticleIJID regions2024

Estimate the number of lives saved by a SARS-CoV-2 vaccination campaign in six states in the United States with a simple model.

Yi Yin, Shuhan Tang, Qiong Li, Sijia Zhou, Yuhang Ma, Weiming Wang, Daihai He, Zhihang Peng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IJID regions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Yi YinSchool of Public Health, Nanjing Medical University, Nanjing, China.
Shuhan TangSchool of Public Health, Nanjing Medical University, Nanjing, China.
Qiong LiBeijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China.
Sijia ZhouSchool of Public Health, Nanjing Medical University, Nanjing, China.
Yuhang MaSchool of Public Health, Nanjing Medical University, Nanjing, China.
Weiming WangSchool of Mathematics and Statistics, Huaiyin Normal University, Huaian, China.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.
Zhihang PengSchool of Public Health, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Vaccination and the emergence of the highly transmissible Omicron variant changed the fate of the COVID-19 pandemic. It is very challenging to estimate the number of lives saved by vaccination given the multiple doses of vaccination, the time-varying nature of transmissibility, the waning of immunity, and the presence of immune evasion. Methods: We established a S-S Results: The number of deaths averted by COVID-19 vaccinations (including three doses) ranged from 0.154-0.295% of the total population across six states. The number of deaths averted by the third dose ranged from 0.008-0.017% of the total population. Conclusions: Our estimate of death averted by COVID-19 vaccination in the U.S. was largely in line with an official estimate (at a level of 0.15-0.20% of the total population). We found that the additional contribution of the third dose was small but significant.

Indexed as

COVID-19Epidemic modelOmicron variantVaccination campaign

Identifiers

PMID39041059
PMCPMC11262167

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.