The daily updated Dutch national database on COVID-19 epidemiology, vaccination and sewage surveillance

Abstract The Dutch national open database on COVID-19 has been incrementally expanded since its start on 30 April 2020 and now includes datasets on symptoms, tests performed, individual-level positive cases and deaths, cases and deaths among vulnerable populations, settings of transmission, hospital and ICU admissions, SARS-CoV-2 variants, viral loads in sewage, vaccinations and the effective reproduction number. This data is collected by municipal health services, laboratories, hospitals, sewage treatment plants, vaccination providers and citizens and is cleaned, analysed and published, mostl... Mehr ...

Verfasser: Geubbels, E. L. P. E.
Backer, J. A.
Bakhshi-Raiez, F.
van der Beek, R. F. H. J.
van Benthem, B. H. B.
van den Boogaard, J.
Broekman, E. H.
Dongelmans, D. A.
Eggink, D.
van Gaalen, R. D.
van Gageldonk, A.
Hahné, S.
Hajji, K.
Hofhuis, A.
van Hoek, A. J.
Kooijman, M. N.
Kroneman, A.
Lodder, W.
van Rooijen, M.
Roorda, W.
Smorenburg, N.
Zwagemaker, F.
Beck, Yu-Ling
van Beugen, Dorothe
van Boven, Michiel
Breuning, Titus
van Buuren, Chesley
Dijkstra, Sipke
Ding, Weiyi
van der Drift, Anne-Merel
Grift, Ivo
Haver, Auke
Hetebrij, Wouter
van de Hoef, Demi
de Jong, Kim
de Klijne, Arnoud
Koelewijn, Jaap
Kooij, Jannetje
Korevaar, Jeroen
Lynch, Gretta
Nagelkerke, Erwin
Nicanci, Süeda
Peters, Noel
Peterse, Céline
van der Plaats, Rozemarijn
Poorter, Elsa
Raaijmakers, Gino
van Rijckevorsel, Lars
de Rijk, Sharona
Sam-Sin, Nathanaël
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Reihe/Periodikum: Scientific Data ; volume 10, issue 1 ; ISSN 2052-4463
Verlag/Hrsg.: Springer Science and Business Media LLC
Schlagwörter: Library and Information Sciences / Statistics / Probability and Uncertainty / Computer Science Applications / Education / Information Systems / Statistics and Probability
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26685135
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1038/s41597-023-02232-w

Abstract The Dutch national open database on COVID-19 has been incrementally expanded since its start on 30 April 2020 and now includes datasets on symptoms, tests performed, individual-level positive cases and deaths, cases and deaths among vulnerable populations, settings of transmission, hospital and ICU admissions, SARS-CoV-2 variants, viral loads in sewage, vaccinations and the effective reproduction number. This data is collected by municipal health services, laboratories, hospitals, sewage treatment plants, vaccination providers and citizens and is cleaned, analysed and published, mostly daily, by the National Institute for Public Health and the Environment (RIVM) in the Netherlands, using automated scripts. Because these datasets cover the key aspects of the pandemic and are available at detailed geographical level, they are essential to gain a thorough understanding of the past and current COVID-19 epidemiology in the Netherlands. Future purposes of these datasets include country-level comparative analysis on the effect of non-pharmaceutical interventions against COVID-19 in different contexts, such as different cultural values or levels of socio-economic disparity, and studies on COVID-19 and weather factors.