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Introducing a novel "real-time" outbreak alert and notification system to monitor SARS-CoV-2 outbreaks and case fatality in elderly care facilities, the Netherlands, 2020-2022.
Meima, Abraham; Whelan, Jane; Dijks, Jan; van der Hagen, Nicoline; van Duuren, Marco; Tjon-A-Tsien, Aimée.
  • Meima A; Municipal Public Health Service Rotterdam-Rijnmond, Rotterdam, The Netherlands.
  • Whelan J; Center for Research and Business Intelligence, Municipality of Rotterdam, Rotterdam, The Netherlands.
  • Dijks J; Municipal Public Health Service Rotterdam-Rijnmond, Rotterdam, The Netherlands.
  • van der Hagen N; ConForte, Rotterdam, The Netherlands.
  • van Duuren M; Argos Zorggroep, Schiedam, The Netherlands.
  • Tjon-A-Tsien A; Aafje, Rotterdam, The Netherlands.
J Public Health Res ; 12(1): 22799036231160634, 2023 Jan.
Artículo en Inglés | MEDLINE | ID: covidwho-2271772
ABSTRACT
Surveillance systems collating individual-level data may limit timely information sharing during rapidly evolving, infectious disease outbreaks. We present a digital outbreak alert and notification system (MUIZ) in which institutional-level data are reported, allowing real-time outbreak monitoring in elderly care facilities (ECF). We describe trends in the number of outbreaks, mean case number per outbreak, and case-fatality rate (deaths/recovered + deaths) of SARS-CoV-2 in ECF notified through MUIZ in the Rotterdam area (April 2020-March 2022). Overall, 369 outbreaks were reported from 128 ECF that registered with MUIZ (approximately 85% of all ECF), and 114 (89%) notified at least one SARS-CoV-2 outbreak. Trends were consistent with the concurrent national epidemiology and societal control measures in place. MUIZ is a simple outbreak surveillance tool that was highly adopted and acceptable to users. Dutch PHS regions are increasingly adopting the system and it has potential for adaptation and further development in similar institutional outbreak settings.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio observacional Idioma: Inglés Revista: J Public Health Res Año: 2023 Tipo del documento: Artículo País de afiliación: 22799036231160634

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Tipo de estudio: Estudio observacional Idioma: Inglés Revista: J Public Health Res Año: 2023 Tipo del documento: Artículo País de afiliación: 22799036231160634