<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <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</dc:title>
  <dc:creator>Takalay, S.</dc:creator>
  <dc:creator>/Ngo-Giang-Huong, Nicole</dc:creator>
  <dc:creator>Kongnim, W.</dc:creator>
  <dc:creator>Mongkolwat, P.</dc:creator>
  <dc:creator>Phoseng, P.</dc:creator>
  <dc:creator>Wangsaeng, N.</dc:creator>
  <dc:creator>Hongjaisee, S.</dc:creator>
  <dc:creator>Butr-Indr, B.</dc:creator>
  <dc:creator>Tragoolpua, K.</dc:creator>
  <dc:creator>/Jourdain, Gonzague</dc:creator>
  <dc:creator>Pornprasert, S.</dc:creator>
  <dc:creator>Khamduang, W.</dc:creator>
  <dc:description>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.</dc:description>
  <dc:date>2022</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010084610</dc:identifier>
  <dc:identifier>fdi:010084610</dc:identifier>
  <dc:identifier>Takalay S., Ngo-Giang-Huong Nicole, Kongnim W., Mongkolwat P., Phoseng P., Wangsaeng N., Hongjaisee S., Butr-Indr B., Tragoolpua K., Jourdain Gonzague, Pornprasert S., Khamduang W.. 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. 2022, 17 (2), e0263127 [12 ]</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>THAILANDE</dc:coverage>
</oai_dc:dc>
