SARS-CoV-2 seroprevalence and infection rate in Manila, Philippines prior to national vaccination program implementation : a repeated cross-sectional analysis

• 資料種別: 記事
• タイトル: SARS-CoV-2 seroprevalence and infection rate in Manila, Philippines prior to national vaccination program implementation : a repeated cross-sectional analysis
• 著者・編者: Greco Mark B. Malijan; Tansy Edwards; Kristal An Agrupis
• 出版事項: 日本 : Japanese Society of Tropical Medicine
• 出版年月日等: 2022-10-11
• 出版年（W3CDTF）: 2022-10-11
• タイトル（掲載誌）: Tropical medicine and health
• 巻号年月日等（掲載誌）: 50(75)
• 掲載巻: 50(75)
• ISSN（掲載誌）: 1349-4147
• ISSN-L（掲載誌）: 1348-8945
• 本文の言語コード: eng
• DOI: 10.1186/s41182-022-00468-7; https://doi.org/10.1186/s41182-022-00468-7
• 国立国会図書館永続的識別子: info:ndljp/pid/12685596; https://dl.ndl.go.jp/pid/12685596
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他; https://dl.ndl.go.jp/collections/B00035
• 収集根拠: オンライン資料収集制度
• 受理日（W3CDTF）: 2023-03-07T17:01:27+09:00
• 保存日（W3CDTF）: 2023-03-07
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: 国立国会図書館内限定公開
• デジタル化資料送信: 図書館・個人送信対象外
• 遠隔複写可否（NDL）: 可
• 掲載誌（URI）: https://tropmedhealth.biomedcentral.com/articles
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/12307894; https://dl.ndl.go.jp/pid/12307894
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: Background: SARS-CoV-2 seroepidemiological studies are used to guide public health decision making and to prepare for emerging infectious diseases. Disease occurrence estimates are limited in the Philippines, the country with the highest reported number of coronavirus disease-related deaths in the Western Pacific region. We aimed to estimate SARS-CoV-2 seroprevalence and infection rate among outpatient clinic attendees in Metro Manila prior to the implementation of the national coronavirus disease vaccination program. Methods: We conducted repeated cross-sectional surveys at the animal bite clinic in San Lazaro Hospital, Manila, the Philippines across four periods, 3 months apart, between May 2020 and March 2021. Multivariable logistic regression was used to assess associations between different characteristics and infection status including seropositivity. Results: In total 615 participants were enrolled, ranging from 115 to 174 per period. Seroprevalence quadrupled between the first (11.3%) and second (46.8%) periods and plateaued thereafter (third—46.0%, fourth—44.6%). Among seropositive participants, total antibody concentration was comparable throughout the first to third periods but declined between the third and fourth periods. Infection prevalence was comparable across enrollment periods (range 2.9–9.5%). Post-secondary education [aOR 0.42 (95% CI 0.26, 0.67)] was protective, and frontline work [aOR 1.81 (95% CI 1.18, 2.80)] was associated with increased odds of seropositivity. Frontline work status [aOR 2.27 (95% CI 1.10, 4.75)] and large household size [aOR 2.45 (95% CI 1.18, 5.49)] were associated with increased odds of infection. Conclusions: The quadrupling of seroprevalence over 3 months between the first and second enrollment periods coincided with the high burden of infection in Metro Manila in early 2020. Our findings suggest a limit to the rise and potential decline of population-level SARS-CoV-2 infection-induced immunity without introduction of vaccines. These results may add to our understanding of how immunity develops against emerging infectious diseases including coronaviruses.; Tropical Medicine and Health, 50(1), art. no. 75; 2022
• DOI: 10.1186/s41182-022-00468-7; https://doi.org/10.1186/s41182-022-00468-7
• オンライン閲覧公開範囲: インターネット公開
• 著作権情報: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
• 関連情報（URI）: http://hdl.handle.net/10069/00041814; https://nagasaki-u.repo.nii.ac.jp/records/27678; http://id.ndl.go.jp/digimeta/12685596; https://dl.ndl.go.jp/pid/12685596; https://search.jamas.or.jp/link/ui/2024035818
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: 学術機関リポジトリデータベース; https://irdb.nii.ac.jp; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp
• 書誌ID（NDLBibID）: 12685596; http://id.ndl.go.jp/bib/12685596