Evidence map›Paper›PMID 38156233›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Impact of the COVID-19 pandemic on the Thai population: Delineating the effects of the pandemic and policy measures.

Nongyao Kasatpibal, Nongkran Viseskul, Akarapong Untong, Kwaunpanomporn Thummathai, Kampong Kamnon, Srisakul Sangkampang, Rusila Tokilay, Srisuda Assawapalanggool, Anucha Apisarnthanarak

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Effective Model of Emerging Disease Prevention and Control in a High-Epidemic Area, Chiang Rai Province.International journal of environmental research and public health · 2025
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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

9 authors at 7 institutions in 1 country.

Nongyao KasatpibalDivision of Nursing Science, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-3691-3840
Nongkran ViseskulDivision of Nursing Science, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-1973-4111
Akarapong UntongSchool of Tourism Development, Maejo University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-7450-1420
Kwaunpanomporn ThummathaiDivision of Nursing Science, Faculty of Nursing, Chiang Mai University, Chiang Mai, Thailand.
Kampong KamnonRajavithi Hospital, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-6462-8153
Srisakul SangkampangLumthamenchai Hospital, Nakhon Ratchasima, Thailand.
Rusila TokilayYala Provincial Public Health Office, Yala, Thailand.
Srisuda AssawapalanggoolInfection Control Section, Mae Sot Hospital, Thailand.ORCID https://orcid.org/0000-0002-9748-3584
Anucha ApisarnthanarakDivision of Infectious Diseases, Thammasat University Hospital, Pratumthani, Thailand.
Chiang Mai University · THMaejo University · THMaesot General Hospital · THMaharat Nakhon Ratchasima Hospital · THRajavithi Hospital · THThammasat University Hospital · THYala Rajabhat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to determine the impacts of the COVID-19 pandemic and policy measures and delineate the impact of each on a cohort of Thai citizens. Methods: A cross-sectional study was conducted among 2,500 Thai people from October 2020 to January 2021. A questionnaire collecting demographic information and other data was sent to eligible subjects. Results: Overall, 51.6% and 49.5% of participants felt the impacts of COVID-19 and policy measures at the highest level, respectively. The study demonstrated that the weighted effect of the impact of the COVID-19 outbreak was statistically ( Conclusions: About half of the participants had a high level of impact from both the COVID-19 pandemic and policy measures. The results of this study suggest that policy measures need to be judged with caution, and the government should provide more comprehensive support to reduce the impact on people's lives.

Identifiers

PMID38156233
PMCPMC10753483
OpenAlexW4389896992

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.