Scientific Data · 2023 · 27 citations · 20 references
Public HealthInfectious Disease ControlInfectious DiseasesDisease SurveillanceEpidemiologyImmunizationDisease Surveillance SystemsImmunization EpidemiologyInfectious Disease SurveillancePandemic ResponseSurveillance Data AnalysisSurveillance MethodsCross-national Surveillance ComparisonsReproduction Number AnalysisSars-cov-2 InfectionSars-cov-2 Variant SurveillanceSars-cov-2 Wastewater SurveillanceSewage Treatment SystemsVaccine-preventable Disease SurveillanceWastewater Treatment Plants
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.
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Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool
Áine O’Toole, Emily Scher, Anthony Underwood et al. · Virus Evolution · 2021 · 1.3K citations · Full text