Evidence map›Paper›PMID 39762415›Full record

ArticleScientific reports2025

Excess mortality due to COVID-19 in Thailand between the pandemic and post-pandemic periods.

Atthasit Dul-Amnuay, Udomlack Peansukwech, Chattarikorn Hanapun, Amod Sharma

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Atthasit Dul-AmnuayBhumibol Adulyadej Hospital, Sai Mai, Bangkok, 10220, Thailand. adulamnuay@gmail.com.
Udomlack PeansukwechThe Scleroderma Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Chattarikorn HanapunBan Hua Nong Sub-District Health Promotion Hospital, Borabue, Mahasarakham, 44130, Thailand.
Amod SharmaDepartment of Pharmacology and Toxicology, College of Medicine, University of Arkansas for Medical Sciences, Arkansas, 72205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic had a significant effect on mortality rates worldwide, with Thailand being no exception. Gaining insights into the impact of pandemic-related mortality is essential for assessing its broader consequences on public health. This study aimed to analyze excess deaths during the pandemic (January 1, 2020-September 30, 2022) and post-pandemic period (October 2022-December 2023) at regional and national levels in Thailand. Expected deaths were estimated using a negative-binomial model, utilizing 2015-2019 data to project deaths for 2020-2021, with adjustments for seasonality. We found that Thailand experienced 76,756 excess deaths during the COVID-19 pandemic, with a p-score of 5.24%, and 36,126 excess deaths with a p-score of 5.26% in the post-pandemic period. After the pandemic, excess deaths in some provinces were elevated but did not reach statistical significance. Pneumonia was the major contributor to the deaths. In conclusion, Thailand experienced excess mortality during both the pandemic and post-pandemic periods. The study has identified regional areas with excess deaths, and further investigation into these findings could support public health improvements and strengthen preparedness for future health crises.

Indexed as

COVID-19PandemicsHumansMortalityPublic HealthSARS-CoV-2ThailandCOVID-19 pandemicExcess deathsPost-pandemic mortalityThailand

Identifiers

PMID39762415
PMCPMC11704259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.