Association between confirmed COVID-19 cases at hospitals and SARS-CoV-2 levels in municipal wastewater during the pandemic and endemic phases
Rattachement africain : jp. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
COVID-19 is now considered endemic in many countries. On May 8, 2023, Japan reclassified COVID-19 from a pandemic to an endemic status, shifting surveillance from universal to sentinel reporting and transitioning the testing and treatment cost of COVID-19 from public funding to individual health insurance coverage. Restrictions on movement, events, and business hours were lifted, potentially increasing cases and complicating tracking. Monitoring hospital cases remains essential to protect high-risk inpatients from nosocomial infections. In this study, 13,812 COVID-19 cases in 12 hospitals were analyzed and the results revealed a strong correlation between SARS-CoV-2 levels in municipal wastewater and weekly new cases during both the pandemic period (February 15, 2021 - February 26, 2023; Pearson's r = 0.8321) and the endemic period (May 8, 2023 - October 1, 2023; Pearson's r = 0.7501). SARS-CoV-2 RNA levels in wastewater from municipal catchment areas showed a stronger correlation with the number of COVID-19 cases at hospitals than did RNA levels in wastewater from the catchment area where the hospitals are located. The difference in correlations was more pronounced during the endemic period. During the endemic period, measurements of SARS-CoV-2 RNA levels in samples obtained from larger sewersheds may be more effective in capturing the overall trends of COVID-19 cases in a region. In other words, during the endemic period, municipal wastewater surveillance may reflect the number of COVID-19 cases in hospitals. Even for facilities that do not monitor SARS-CoV-2 in their own hospital wastewater, publicly available municipal wastewater data can be used to estimate the number of COVID-19 cases in hospitals. Furthermore, COVID-19 infection control measures within hospitals can be evaluated by comparing the number of nosocomial infection patients based on the concentration of SARS-CoV-2 in municipal wastewater.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Association between confirmed COVID-19 cases at hospitals and SARS-CoV-2 levels in municipal wastewater during the pandemic and endemic phases
- Date Crossref
- 01/03/2025
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Hokkaido University Hospital Department of Infection Control and Prevention pays non établi dans la noticeÉtablissement de santé
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The University of Tokyo pays non établi dans la noticeUniversité ou école supérieure
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Sapporo City University pays non établi dans la noticeUniversité ou école supérieure
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Cardiovascular Center Hokkaido Ohno Hospital pays non établi dans la noticeÉtablissement de santé
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Hokkaido hospital pays non établi dans la noticeÉtablissement de santé
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Sapporo Hokuyu Hospital pays non établi dans la noticeÉtablissement de santé
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Aishin Memorial Hospital pays non établi dans la noticeÉtablissement de santé
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Hokkaido Sapporo Kita High School pays non établi dans la noticeUniversité ou école supérieure
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Keiyukai Sapporo Hospital pays non établi dans la noticeÉtablissement de santé
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Sapporo Science Center pays non établi dans la noticeInstitution
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Sapporo City General Hospital pays non établi dans la noticeÉtablissement de santé
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Hokkaido Orthopedic Surgery Memorial Hospital pays non établi dans la noticeÉtablissement de santé
Department of Infection Control and Prevention — Hokkaido University Hospital, The University of Tokyo et Sapporo City University, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.