{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T14:39:53Z","timestamp":1787063993855,"version":"build-2736575974"},"reference-count":43,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2021,1,17]],"date-time":"2021-01-17T00:00:00Z","timestamp":1610841600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Tropical Med Int Health"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aimed to examine the association between six air pollutants and COVID\u201019 infection in two main clusters, which accounted for 83% of total confirmed cases in Korea.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We collected the data on daily confirmed cases between February 24, 2020 and September 12, 2020. Data on six air pollutants (PM\n                      <jats:sub>2.5<\/jats:sub>\n                      , PM\n                      <jats:sub>10<\/jats:sub>\n                      , O\n                      <jats:sub>3<\/jats:sub>\n                      , NO\n                      <jats:sub>2<\/jats:sub>\n                      , CO and SO\n                      <jats:sub>2<\/jats:sub>\n                      ) and four meteorological factors (temperature, wind speed, humidity and air pressure) were obtained on seven days prior to the research period. The generalised additive model and the distributed lag nonlinear model were applied to generate the relative risks (RRs) and 95% confidence intervals (CIs) for the associations. Pooled estimates for clusters were obtained by applying a random\u2010effects model.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We found that NO\n                      <jats:sub>2<\/jats:sub>\n                      concentration was positively associated with daily confirmed cases in both Seoul\u2010Gyeonggi and Daegu\u2010Gyeongbuk clusters, with RRs (95% CIs) of 1.22 (1.03\u20131.44) and 1.66 (1.25\u20132.19), respectively. However, SO\n                      <jats:sub>2<\/jats:sub>\n                      concentration was observed to be associated with daily confirmed cases in the Seoul\u2010Gyeonggi cluster only (RR\u00a0=\u00a01.30, 95% CI\u00a0=\u00a01.10\u20131.54), whereas PM\n                      <jats:sub>2.5<\/jats:sub>\n                      and CO concentrations were observed to be associated with daily confirmed cases in the Daegu\u2010Gyeongbuk cluster only (RR\u00a0=\u00a01.14, 95% CI\u00a0=\u00a01.02\u20131.27 and RR\u00a0=\u00a01.30, 95% CI\u00a0=\u00a01.15\u20131.48, respectively).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      Our data found that NO\n                      <jats:sub>2<\/jats:sub>\n                      concentration was positively associated with daily confirmed cases in both clusters, whereas the effect of PM\n                      <jats:sub>2.5<\/jats:sub>\n                      , CO and SO\n                      <jats:sub>2<\/jats:sub>\n                      on COVID\u201019 infection in two clusters was different.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/tmi.13538","type":"journal-article","created":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T14:30:50Z","timestamp":1608042650000},"page":"478-491","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Short\u2010term exposure to ambient air pollution in association with COVID\u201019 of two clusters in South Korea"],"prefix":"10.1111","volume":"26","author":[{"given":"Tung","family":"Hoang","sequence":"first","affiliation":[{"name":"Department of Caner Biomedical Science National Cancer Center Graduate School of Cancer Science and Policy Goyang Gyeonggi\u2010do Korea"},{"name":"Institute of Research and Development Duy Tan University Danang Vietnam"},{"name":"Faculty of Pharmacy Duy Tan University Danang Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trung Quang","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology Nghe An Oncology Hospital Nghe An Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tho Thi Anh","family":"Tran","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology Nghe An Oncology Hospital Nghe An Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,1,17]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.3346\/jkms.2020.35.e297"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.3346\/jkms.2020.35.e61"},{"key":"e_1_2_10_4_1","unstructured":"Korea Centers for Disease Control & Prevention.Coronavirus infectious disease\u201019 outbreak in Korea (as of September 13 00:00). 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