This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2780) JMIR Theme Issue: COVID-19 Special Issue (2490) Innovative Methods in Public Health and Surveillance (357) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39409, first published .
Application of Phylodynamic Tools to Inform the Public Health Response to COVID-19: Qualitative Analysis of Expert Opinions

Application of Phylodynamic Tools to Inform the Public Health Response to COVID-19: Qualitative Analysis of Expert Opinions

Application of Phylodynamic Tools to Inform the Public Health Response to COVID-19: Qualitative Analysis of Expert Opinions

Authors of this article:

Shannan N Rich1, 2 Author Orcid Image ;   Veronica Richards1, 2 Author Orcid Image ;   Carla Mavian3 Author Orcid Image ;   Brittany Rife Magalis3 Author Orcid Image ;   Nathan Grubaugh4 Author Orcid Image ;   Sonja A Rasmussen1, 2, 5 Author Orcid Image ;   Simon Dellicour6, 7 Author Orcid Image ;   Bram Vrancken6, 7 Author Orcid Image ;   Christine Carrington8 Author Orcid Image ;   Rebecca Fisk-Hoffman1, 2 Author Orcid Image ;   Demi Danso-Odei9 Author Orcid Image ;   Daniel Chacreton10 Author Orcid Image ;   Jerne Shapiro1, 2, 9 Author Orcid Image ;   Marie Nancy Seraphin11 Author Orcid Image ;   Crystal Hepp12, 13, 14 Author Orcid Image ;   Allison Black15 Author Orcid Image ;   Ann Dennis16 Author Orcid Image ;   Nídia Sequeira Trovão17 Author Orcid Image ;   Anne-Mieke Vandamme18, 19 Author Orcid Image ;   Angela Rasmussen20 Author Orcid Image ;   Michael Lauzardo11 Author Orcid Image ;   Natalie Dean21, 22 Author Orcid Image ;   Marco Salemi3 Author Orcid Image ;   Mattia Prosperi1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Khurana M, Curran-Sebastian J, Scheidwasser N, Morgenstern C, Rasmussen M, Fonager J, Stegger M, Tang M, Juul J, Escobar-Herrera L, Møller F, Byberg-Grauholm J, Aasbjerg G, Ring A, Sieber R, Hansen T, Gunalan V, Nielsen C, Ellegaard K, Larsen N, Hartmann E, Jensen A, Sørensen K, Østergaard S, Sørensen E, Jensen T, Fuster-Collados E, Chiche-Lapierre C, Andersen K, Michaelsen T, Petersen C, Hansen S, Krarup H, Schønning K, Paulsen S, Schneider U, Pedersen M, Castruita J, Thomsen M, Ellermann-Eriksen S, Thomsen K, Andersen D, Steinke K, Skov M, Larsen S, Hoppe M, Nielsen L, Sundelin T, Coia J, Laugesen A, Johansen R, Nielsen X, Albertsen M, Kraemer M, du Plessis L, Jokelainen P, Lehmann S, Krause T, Ullum H, Duchêne D, Mortensen L, Bhatt S. High-resolution epidemiological landscape from  ~290,000 SARS-CoV-2 genomes from Denmark. Nature Communications 2024;15(1) View
  2. Översti S, Weber A, Baran V, Kieninger B, Dilthey A, Houwaart T, Walker A, Schneider-Brachert W, Kühnert D. Evolutionary and epidemic dynamics of COVID-19 in Germany exemplified by three Bayesian phylodynamic case studies. Bioinformatics and Biology Insights 2025;19 View