{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T07:02:39Z","timestamp":1779778959697,"version":"3.53.1"},"reference-count":33,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T00:00:00Z","timestamp":1777939200000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Influenza Resp Viruses"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>During the COVID\u201019 pandemic, international border restrictions, along with traveler screening and quarantine, were implemented to limit virus spread. This study analyzes the epidemiological and genomic profiles of SARS\u2010CoV\u20102 infections imported into Kinshasa (DRC) during the restrictions period in 2021.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>As part of the national response to the pandemic, self\u2010reported demographic and clinical data were collected from travelers entering the DRC via N'djili\u2010Kinshasa International Airport. SARS\u2010CoV\u20102 infection was diagnosed using RT\u2010PCR, and positive samples were subjected to whole genome sequencing (WGS) to determine variant types and viral lineages. The impact of the virus's genomic profile on the clinical presentation of travelers and on the COVID\u201019 epidemiology in the DRC was then assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 102,810 included travelers, 1037 (1.0%) tested positive for SARS\u2010CoV\u20102 and reported significantly more nausea, diarrhea, and weight loss than uninfected travelers (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). SARS\u2010Cov\u20102\u2010infected travelers were predominantly under 43\u2009years old (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and primarily from France (24.8%) and Belgium (19.5%). Of the 105 WGS analyzed, 86 (81.9%) were variants of concern (VOCs), 14 (13.3%) were variants under monitoring (VUM), and the main genomic lineages identified were Delta\u2010B.1.617.2 (24.8%), Alpha\u2010B.1.1.7 (10.5%), Delta\u2010AY.122 (7.6%), and B.1.620 (5.7%). The Delta\u2010VOC was the most prevalent among positive travelers (61\/86) and appeared to cause more symptomatic infections than non\u2010Delta variants, although one\u2010third of positive travelers reported no symptoms.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>SARS\u2010CoV\u20102 importation into Kinshasa (DRC) mirrored global variant circulation patterns at the study's time. This genomic landscape was consistent with in\u2010country clinical observations, emphasizing the importance of robust border surveillance and adaptive public health strategies during pandemics.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/irv.70259","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T13:44:43Z","timestamp":1777988683000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Imported SARS\u2010CoV\u20102 Infections at N'djili International Airport in Kinshasa, Democratic Republic of Congo: An Epidemiological and Genomic Analysis"],"prefix":"10.1111","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0197-4762","authenticated-orcid":false,"given":"Agar Mpwo","family":"Matalatala","sequence":"first","affiliation":[{"name":"Department of Virology Institut National de Recherche Biom\u00e9dicale  Kinshasa Democratic Republic of 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of Kinshasa  Kinshasa Democratic Republic of Congo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H\u00e9ritier Kabenge","family":"Motemankele","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Programme National de Lutte Contre le SIDA\/IST  Kinshasa Democratic Republic of Congo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8703-1269","authenticated-orcid":false,"given":"Doudou Malekita","family":"Yobi","sequence":"additional","affiliation":[{"name":"Service of Molecular Biology, Department of Basic Sciences, Faculty of Medicine University of Kinshasa  Kinshasa Democratic Republic of Congo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elisabeth Simbu","family":"Pukuta","sequence":"additional","affiliation":[{"name":"Department of Virology Institut National de Recherche Biom\u00e9dicale  Kinshasa Democratic Republic of 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