| Literature DB >> 32678356 |
Aura Timen1, Marion Koopmans2, Bas B Oude Munnink3, David F Nieuwenhuijse3, Mart Stein1, Áine O'Toole4, Manon Haverkate1, Madelief Mollers1, Sandra K Kamga1, Claudia Schapendonk3, Mark Pronk3, Pascal Lexmond3, Anne van der Linden3, Theo Bestebroer3, Irina Chestakova3, Ronald J Overmars3, Stefan van Nieuwkoop3, Richard Molenkamp3, Annemiek A van der Eijk3, Corine GeurtsvanKessel3, Harry Vennema1, Adam Meijer1, Andrew Rambaut4, Jaap van Dissel1, Reina S Sikkema3.
Abstract
In late December 2019, a cluster of cases of pneumonia of unknown etiology were reported linked to a market in Wuhan, China1. The causative agent was identified as the species Severe acute respiratory syndrome-related coronavirus and was named SARS-CoV-2 (ref. 2). By 16 April the virus had spread to 185 different countries, infected over 2,000,000 people and resulted in over 130,000 deaths3. In the Netherlands, the first case of SARS-CoV-2 was notified on 27 February. The outbreak started with several different introductory events from Italy, Austria, Germany and France followed by local amplification in, and later also outside, the south of the Netherlands. The combination of near to real-time whole-genome sequence analysis and epidemiology resulted in reliable assessments of the extent of SARS-CoV-2 transmission in the community, facilitating early decision-making to control local transmission of SARS-CoV-2 in the Netherlands. We demonstrate how these data were generated and analyzed, and how SARS-CoV-2 whole-genome sequencing, in combination with epidemiological data, was used to inform public health decision-making in the Netherlands.Entities:
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Year: 2020 PMID: 32678356 DOI: 10.1038/s41591-020-0997-y
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 53.440