Evidence map›Paper›PMID 39728813›Full record

ArticleTropical medicine and infectious disease2024

Impact of COVID-19 Vaccination in Thailand: Averted Deaths and Severe Infections Across Age Groups.

Chaiwat Wilasang, Pikkanet Suttirat, Dhammika Leshan Wannigama, Mohan Amarasiri, Sudarat Chadsuthi, Charin Modchang

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Chaiwat WilasangBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.
Pikkanet SuttiratBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.ORCID 0000-0002-3349-1921
Dhammika Leshan WannigamaDepartment of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata 990-2292, Japan.
Mohan AmarasiriEnvironmental Water Quality Engineering Laboratory, Department of Civil and Environmental Engineer-ing, Graduate School of Engineering, Tohoku University, 6-6-06, Aramaki, Aoba-ku, Sendai 980-8579, Japan.ORCID 0000-0002-3509-3433
Sudarat ChadsuthiDepartment of Physics, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand.ORCID 0000-0003-1368-2437
Charin ModchangBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.ORCID 0000-0002-0739-006X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has underscored the pivotal role of vaccines in mitigating the devastating impact of the virus. In Thailand, the vaccination campaign against SARS-CoV-2 began on 28 February 2021, initially prioritizing healthcare professionals before expanding into a nationwide effort on 7 June 2021. This study employs a mathematical model of COVID-19 transmission with vaccination to analyze the impact of Thailand's COVID-19 vaccination program from 1 March 2021 to 31 December 2022. We specifically assess the potential loss of lives and occurrence of severe infections across various age groups in a hypothetical scenario where vaccines were not administered. By fitting our model with officially reported COVID-19 death data, our analysis reveals that vaccination efforts prevented a total of 300,234 deaths (95% confidence interval: 295,938-304,349) and averted 1.60 million severe COVID-19 infections (95% confidence interval: 1.54-1.65 million). Notably, the elderly population over 80 years old benefited the most from vaccination, with an estimated 84,518 lives saved, constituting 4.28% of this age group. Furthermore, individuals aged between 70 and 74 years experienced the highest reduction in severe infections, with vaccination potentially preventing 8.35% of this age bracket from developing severe COVID-19.

Indexed as

averted deathsCOVID-19mathematical modelingThailandvaccination

Identifiers

PMID39728813
PMCPMC11679040

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LicenceCC BY
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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.