Evidence map›Paper›PMID 35108302›Full record

Observational studyPloS one2022

Prevalences of SARS-CoV-2 RNA and anti-SARS-CoV-2 among at-risk populations in Chiang Mai and Lamphun provinces, Thailand, during November 2020-January 2021.

Siriluk Takalay, Nicole Ngo-Giang-Huong, Wanlee Kongnim, Paporn Mongkolwat, Porntip Phoseng, Nantawan Wangsaeng, Sayamon Hongjaisee, Bordin Butr-Indr, Khajornsak Tragoolpua, Gonzague Jourdain and 2 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

12 authors.

Siriluk TakalayDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Nicole Ngo-Giang-HuongDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Wanlee KongnimDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Paporn MongkolwatDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Porntip PhosengDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Nantawan WangsaengAssociated Medical Sciences (AMS)-PHPT Research Collaboration, Chiangmai, Thailand.
Sayamon HongjaiseeResearch Institute for Health Sciences, Chiang Mai University, Chiangmai, Thailand.
Bordin Butr-IndrDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Khajornsak TragoolpuaDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Gonzague JourdainDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Sakorn PornprasertDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.
Woottichai KhamduangDepartment of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiangmai, Thailand.ORCID 0000-0003-0196-5691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-healthcare workers with a high potential for exposure to severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) may contribute to the virus spreading. Data among asymptomatic and high exposure risk populations is still scarce, in particular Chiang Mai and Lamphun provinces, Thailand. We conducted a cross-sectional observational study aiming to assess the prevalence of SARS-CoV-2 RNA positivity, anti-SARS-CoV-2 IgM/IgG, and potential associated factors among asymptomatic/mild symptomatic individuals with a high exposure risk in Chiang Mai and Lamphun provinces, during the second wave of outbreak in Thailand (November 2020-January 2021). Socio-demographic data was collected through an on-line questionnaire prior to collection of nasopharyngeal/throat swab samples and blood samples tested for SARS-CoV-2 RNA (DaAn Gene, China) and anti-SARS-CoV-2 IgM/IgG antibodies (commercial lateral flow immunoassays), respectively. Univariable and multivariable logistic regression analysis were used to analyze associated factors. None of 1,651 participants were found positive for SARS-CoV-2 RNA (0%, 95% confidence intervals, CI: 0-0.2). Fourteen were positive for anti-SARS-CoV-2 IgM/IgG antibodies (0.9%, 95% CI: 0.5-1.4), including 7 positives for IgM and 7 positives for IgG (0.4%, 95% CI: 0.2-0.9). Being over 50 years old was independently associated with virus exposure (OR: 5.8, 95% CI: 1.0-32.1%, p = 0.045). Despite high exposure risk, no current infection was found, and a very high proportion was still susceptible to SARS-CoV-2 infection and would clearly benefit from vaccination. Continuing active surveillance, rolling out of vaccination and monitoring response to vaccine will help better control the COVID-19 spread.

Indexed as

AdultAgedAged, 80 and overAntibodies, ViralCOVID-19Cross-Sectional StudiesFemaleHealth PersonnelHumansImmunoglobulin GMaleMiddle AgedPrevalenceRNA, ViralSARS-CoV-2Serologic TestsAntibodies, ViralImmunoglobulin GRNA, Viral

Identifiers

PMID35108302
PMCPMC8809620

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.