Evidence map›Paper›PMID 35190788›Full record

ArticlePeerJ2022

The impact of COVID-19 and control measures on public health in Thailand, 2020.

Ritthideach Yorsaeng, Nungruthai Suntronwong, Ilada Thongpan, Watchaporn Chuchaona, Fajar Budi Lestari, Siripat Pasittungkul, Jiratchaya Puenpa, Kamolthip Atsawawaranunt, Chollasap Sharma, Natthinee Sudhinaraset and 4 more

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

14 authors.

Ritthideach YorsaengDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Nungruthai SuntronwongDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Ilada ThongpanDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Watchaporn ChuchaonaDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Fajar Budi LestariDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Siripat PasittungkulDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Jiratchaya PuenpaDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Kamolthip AtsawawaranuntDepartment of Disease Control, Ministry of Public Health, Institute for Urban Disease Control and Prevention, Bangkok, Thailand.
Chollasap SharmaDepartment of Disease Control, Ministry of Public Health, Institute of Preventive Medicine, Nonthaburi, Thailand.
Natthinee SudhinarasetDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Anek MungaomklangDepartment of Disease Control, Ministry of Public Health, Institute for Urban Disease Control and Prevention, Bangkok, Thailand.
Rungrueng KitphatiMinistry of Public Health, Nonthaburi, Thailand.
Nasamon WanlapakornDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.
Yong PoovorawanDepartment of Pediatrics, Faculty of Medicine, Chulalongkorn University, Center of Excellence in Clinical Virology, Pathumwan, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 virus has been an emerging disease causing global outbreaks for over a year. In Thailand, transmission may be controlled by strict measures that could positively and negatively impact physical health and suicidal behavior.

methodsThe incidence of COVID-19 was retrieved from the Department of Disease Control (DDC). The impact of viral diseases was retrieved from the open-source of the DDC and King Chulalongkorn Memorial Hospital. The road accidents data were from the Thai Ministry of Transport. The suicidal behavior data were obtained from the Department of Mental Health. We compared data from the year 2019 with the pandemic COVID-19 outbreak period in 2020, before lockdown, during lockdown, easing, and new wave period using unpaired t-test and least-squares linear regression. We compared the impact of the outbreak on various data records in 2020 with corresponding non-outbreak from 2019.

resultsThere was a significant decline in cases of influenza ( DISCUSSION: The extensive intervention measures during lockdown during the first wave positively impacted total cases for each period for acute respiratory and gastrointestinal tract diseases, car accidents, and injuries and negatively impacted indicators of suicidal behavior. The data support government policies that would be effective against the next outbreak by promoting the "new normal" lifestyle.

Indexed as

COVID-19SuicideCommunicable Disease ControlHumansPublic HealthThailandCOVID-19ImpactMental healthPublic healthRoad accidentSuicidal behaviorViral disease

Identifiers

PMID35190788
PMCPMC8857899

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.