The daily updated Dutch national database on COVID-19 epidemiology, vaccination and sewage surveillance
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Published:2023-07-20
Issue:1
Volume:10
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Geubbels E. L. P. E.ORCID, 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.ORCID, van Gageldonk A., Hahné S., Hajji K., Hofhuis A., van Hoek A. J., Kooijman M. N., Kroneman A., Lodder W., van Rooijen M.ORCID, 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, Senyer Merve, Sheikh Moghaddas Reza, Stouten Sjors, Theijn Rick, van Velzen Max, Voshart Ilse, Welling Anne, Wijsmuller Arno, Winkelhorst Nicolas, Wong-Loi-Sing Gimairo, Andeweg Stijn, van den Berg Patrick, Berry Danytza, Boudewijns Bronke, de Bruijn Siméon, Bulsink Kirsten, Dalhuisen Thomas, van Iersel Senna, Jenniskens Liz, Jongenotter Femke, de Lange Marit, Lanooij Susan, de Melker Hester, Maxwell Amber, Neppelenbroek Nienke, Nijman Steven, de Oliviera Bressane Lima Priscila, Petit Fleur, Smit Tara, Teirlinck Anne, Valk Anne-Wil, Veldhuijzen Irene, Verstraten Carolien, Wielders Lieke, Willekens Guido, de Keizer N. F.ORCID, van Walle I.ORCID, de Roda Husman A. M.ORCID, Ruijs C., van den Hof S.ORCID, ,
Abstract
AbstractThe 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.
Funder
Ministerie van Volksgezondheid, Welzijn en Sport
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference45 articles.
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