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DC Field | Value | Language |
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dc.contributor.author | Siriluk Takalay | en_US |
dc.contributor.author | Nicole Ngo-Giang-Huong | en_US |
dc.contributor.author | Wanlee Kongnim | en_US |
dc.contributor.author | Paporn Mongkolwat | en_US |
dc.contributor.author | Porntip Phoseng | en_US |
dc.contributor.author | Nantawan Wangsaeng | en_US |
dc.contributor.author | Sayamon Hongjaisee | en_US |
dc.contributor.author | Bordin Butr-Indr | en_US |
dc.contributor.author | Khajornsak Tragoolpua | en_US |
dc.contributor.author | Gonzague Jourdain | en_US |
dc.contributor.author | Sakorn Pornprasert | en_US |
dc.contributor.author | Woottichai Khamduang | en_US |
dc.date.accessioned | 2022-05-27T08:40:58Z | - |
dc.date.available | 2022-05-27T08:40:58Z | - |
dc.date.issued | 2022-02-01 | en_US |
dc.identifier.issn | 19326203 | en_US |
dc.identifier.other | 2-s2.0-85123980281 | en_US |
dc.identifier.other | 10.1371/journal.pone.0263127 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123980281&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/73418 | - |
dc.description.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. | en_US |
dc.subject | Multidisciplinary | en_US |
dc.title | 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 | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | PLoS ONE | en_US |
article.volume | 17 | en_US |
article.stream.affiliations | Université de Montpellier | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | Associated Medical Sciences (AMS)-PHPT Research Collaboration | en_US |
Appears in Collections: | CMUL: Journal Articles |
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