Accès ouvert déclaré 2024 article

An updated framework for SARS-CoV-2 variants reflects the unpredictability of viral evolution

Lorenzo Subissi, James R. Otieno, Nathalie Worp, Homa Attar Cohen, Bas B. Oude Munnink, Laith J. Abu‐Raddad, Erik Alm, Amal Barakat, William Barclay, Jinal N. Bhiman, Leon Caly, Meera Chand, Mark Chen, Ann Cullinane, Túlio de Oliveira, Christian Drosten, Julian Druce, Paul V. Effler, Ihab El Masry, Adama Faye, Elodie Ghedin, Rebecca Grant, Bart L. Haagmans, Christian Happi, Belinda L. Herring, Emma B. Hodcroft, Juniorcaius Ikejezie, Victoria Katawera, Zyleen Kassamali, Yee‐Sin Leo, GM Leung, Rebecca Kondor, Marco Marklewitz, Jairo Méndez‐Rico, Nada M. Melhem, Vincent J. Munster, Karen Nahapetyan, Dhamari Naindoo, Djin‐Ye Oh, Thomas P. Peacock, Malik Peiris, Zhibin Peng, Leo L. M. Poon, Andrew Rambaut, Senjuti Saha, Yinzhong Shen, Marilda Mendonça Siqueira, Erik Volz, Sofonías K. Tessema, Volker Thiel, Henda Triki, Sylvie van der Werf, Karin J. von Eije, Jane Cunningham, Marion Koopmans, Anne von Gottberg, Anurag Agrawal, Maria D. Van Kerkhove

28Citations signalées — pas une note de qualité

46Institutions déclarées

27Pays d’affiliation déclarés

Résumé indisponible : les résultats de l’étude ne doivent pas être déduits depuis son seul titre.

Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref: An updated framework for SARS-CoV-2 variants reflects the unpredictability of viral evolution
Date Crossref: 08/05/2024
Éditeur: Springer Science and Business Media LLC
Type: journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

World Health Organization Erasmus University Rotterdam Weill Cornell Medical College in Qatar European Centre for Disease Prevention and Control World Health Organization Regional Office for the Eastern Mediterranean Imperial College London National Health Laboratory Service University of the Witwatersrand Victorian Infectious Diseases Reference Laboratory UK Health Security Agency National Centre for Infectious Diseases Organisation Mondiale de la Santé Animale Stellenbosch University Charité - Universitätsmedizin Berlin The University of Western Australia Food and Agriculture Organization of the United Nations Cheikh Anta Diop University National Institutes of Health National Institute of Allergy and Infectious Diseases Redeemer's University World Health Organization Regional Office for Africa SIB Swiss Institute of Bioinformatics Swiss Tropical and Public Health Institute University of Basel World Health Organization Regional Office for the Western Pacific University of Hong Kong Centers for Disease Control and Prevention World Health Organization Regional Office for Europe World Health Organization Regional Office for the Americas American University of Beirut World Health Organization Regional Office for South-East Asia Robert Koch Institute The Pirbright Institute Chinese Center For Disease Control and Prevention University of Edinburgh Child Health Research Foundation Shanghai Public Health Clinical Center Fundação Oswaldo Cruz Africa Centres for Disease Control and Prevention University of Bern Federal Department of Home Affairs Institute of Virology of the Slovak Academy of Sciences Institut Pasteur de Tunis Institut Pasteur Université Paris Cité Ashoka University

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Sujets associés

SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studiesCOVID-19 diagnosis using AI

Lire en accès ouvert Consulter la publication primaire DOI