Evidence map›Paper›PMID 35091640›Full record

ArticleScientific reports2022

Impact of vaccination on the COVID-19 pandemic in U.S. states.

Xiao Chen, Hanwei Huang, Jiandong Ju, Ruoyan Sun, Jialiang Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
–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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Emerging and Pandemic Pathogens: Lessons Learned From a Clinical Research Network.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Review
  7. Vaccines · 2025
    Review
  8. Article
  9. Article
  10. Article
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  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Single nucleotide variants in theFrontiers in cellular and infection microbiology · 2024
    Observational
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

5 authors.

Xiao ChenSchool of International Trade and Economics, University of International Business and Economics, Beijing, China.
Hanwei HuangDepartment of Economics and Finance, City University of Hong Kong, Hong Kong, China. huang.hanwei@cityu.edu.hk.
Jiandong JuPBC School of Finance, Tsinghua University, Beijing, China.
Ruoyan SunDepartment of Health Care Organization and Policy, School of Public Health, University of Alabama at Birmingham, Birmingham, USA. rysun@uab.edu.
Jialiang ZhangPBC School of Finance, Tsinghua University, Beijing, China.

Funding

National Natural Science Foundation of China 72003026Research Grants Council, University Grants Committee 11501121startup grant, City University of Hong Kong 7200689University of International Business and Economics 19QD01
6 · The paper itself

Abstract

Governments worldwide are implementing mass vaccination programs in an effort to end the novel coronavirus (COVID-19) pandemic. Here, we evaluated the effectiveness of the COVID-19 vaccination program in its early stage and predicted the path to herd immunity in the U.S. By early March 2021, we estimated that vaccination reduced the total number of new cases by 4.4 million (from 33.0 to 28.6 million), prevented approximately 0.12 million hospitalizations (from 0.89 to 0.78 million), and decreased the population infection rate by 1.34 percentage points (from 10.10 to 8.76%). We built a Susceptible-Infected-Recovered (SIR) model with vaccination to predict herd immunity, following the trends from the early-stage vaccination program. Herd immunity could be achieved earlier with a faster vaccination pace, lower vaccine hesitancy, and higher vaccine effectiveness. The Delta variant has substantially postponed the predicted herd immunity date, through a combination of reduced vaccine effectiveness, lowered recovery rate, and increased infection and death rates. These findings improve our understanding of the COVID-19 vaccination and can inform future public health policies.

Indexed as

PandemicsCOVID-19COVID-19 VaccinesHumansImmunity, HerdSARS-CoV-2United StatesCOVID-19 Vaccines

Identifiers

PMID35091640
PMCPMC8799714

What OpenQuestion holds

Textmetadata
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.