Evidence map›Paper›PMID 35635222›Full record

ArticleEvaluation review2022

The race Against Time to Save Human Lives During the COVID-19 With Vaccines: Global Evidence.

Phuc Van Nguyen, Toan L D Huynh, Vu Minh Ngo, Huan Huu Nguyen

Open access · greenAbstract read
In one paragraph

Article in Evaluation review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 19% of its field
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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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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

4 authors at 3 institutions in 3 countries.

Phuc Van Nguyen6420Massey University (New Zealand), New Zealand.ORCID 0000-0002-7144-7550
Toan L D HuynhUniversity of Southampton (UK), Southampton, United Kingdom.
Vu Minh NgoBusiness College, School of Banking, 145467University of Economics Ho Chi Minh City (UEH), Ho Chi Minh City, Vietnam.ORCID 0000-0002-0997-4720
Huan Huu NguyenBusiness College, School of Banking, 145467University of Economics Ho Chi Minh City (UEH), Ho Chi Minh City, Vietnam.
University of Economics Ho Chi Minh City · VNMassey University · NZUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Voluminous vaccine campaigns have been used globally, since the COVID-19 pandemic has brought devastating mortality and destructively unprecedented consequences to different aspects of economies. This study aimed to identify how the numbers of new deaths and new cases per million changed after half of the population had been vaccinated. This paper used actual pandemic consequence variables (death and infected rates) together with vaccination uptake rates from 127 countries to shed new light on the efficacy of COVID-19 vaccines. The 50% uptake rate was chosen as the threshold to estimate the real benefits of vaccination campaigns for reducing COVID-19 infection and death cases using the difference-in-differences (DiD) imputation estimator. In addition, a number of control variables, such as government interventions and people's mobility patterns during the pandemic, were also included in the study. The number of new deaths per million significantly decreased after half of the population was vaccinated, but the number of new cases did not change significantly. We found that the effects were more pronounced in Europe and North America than in other continents. Our results remain robust after using other proxies and testing the sensitivity of the vaccinated proportion. We show the causal evidence of significantly lower death rates in countries where half of the population is vaccinated globally. This paper expresses the importance of vaccine campaigns in saving human lives during the COVID-19 pandemic, and its results can be used to communicate the benefits of vaccines and to fight vaccine hesitancy.

Indexed as

COVID-19VaccinesCOVID-19 VaccinesHumansImmunization ProgramsPandemicsCOVID-19 VaccinesVaccinescausal effectCOVID-19death ratesdifference-in-differencesnew casesvaccination uptake rate

Identifiers

PMID35635222
PMCPMC9152627
OpenAlexW3209983762

What OpenQuestion holds

Textmetadata
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.