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Application of Phylodynamic Tools to Inform the Public Health Response to COVID-19: Qualitative Analysis of Expert Opinions.
Rich, Shannan N; Richards, Veronica; Mavian, Carla; Rife Magalis, Brittany; Grubaugh, Nathan; Rasmussen, Sonja A; Dellicour, Simon; Vrancken, Bram; Carrington, Christine; Fisk-Hoffman, Rebecca; Danso-Odei, Demi; Chacreton, Daniel; Shapiro, Jerne; Seraphin, Marie Nancy; Hepp, Crystal; Black, Allison; Dennis, Ann; Trovão, Nídia Sequeira; Vandamme, Anne-Mieke; Rasmussen, Angela; Lauzardo, Michael; Dean, Natalie; Salemi, Marco; Prosperi, Mattia.
Afiliación
  • Rich SN; Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.
  • Richards V; Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Mavian C; Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.
  • Rife Magalis B; Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Grubaugh N; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Rasmussen SA; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Dellicour S; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.
  • Vrancken B; Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.
  • Carrington C; Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Fisk-Hoffman R; Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Danso-Odei D; Spatial Epidemiology Lab, Université Libre de Bruxelles, Bruxelles, Belgium.
  • Chacreton D; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Bruxelles, Belgium.
  • Shapiro J; Spatial Epidemiology Lab, Université Libre de Bruxelles, Bruxelles, Belgium.
  • Seraphin MN; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Bruxelles, Belgium.
  • Hepp C; Department of Preclinical Sciences, University of the West Indies, St Augustine, Trinidad and Tobago.
  • Black A; Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.
  • Dennis A; Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Trovão NS; Florida Department of Health in Alachua County, Gainesville, FL, United States.
  • Vandamme AM; Division of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, United States.
  • Rasmussen A; Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.
  • Lauzardo M; Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Dean N; Florida Department of Health in Alachua County, Gainesville, FL, United States.
  • Salemi M; Division of Infectious Diseases and Global Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.
  • Prosperi M; Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States.
JMIR Form Res ; 7: e39409, 2023 Apr 21.
Article en En | MEDLINE | ID: mdl-36848460
ABSTRACT

BACKGROUND:

In the wake of the SARS-CoV-2 pandemic, scientists have scrambled to collect and analyze SARS-CoV-2 genomic data to inform public health responses to COVID-19 in real time. Open source phylogenetic and data visualization platforms for monitoring SARS-CoV-2 genomic epidemiology have rapidly gained popularity for their ability to illuminate spatial-temporal transmission patterns worldwide. However, the utility of such tools to inform public health decision-making for COVID-19 in real time remains to be explored.

OBJECTIVE:

The aim of this study is to convene experts in public health, infectious diseases, virology, and bioinformatics-many of whom were actively engaged in the COVID-19 response-to discuss and report on the application of phylodynamic tools to inform pandemic responses.

METHODS:

In total, 4 focus groups (FGs) occurred between June 2020 and June 2021, covering both the pre- and postvariant strain emergence and vaccination eras of the ongoing COVID-19 crisis. Participants included national and international academic and government researchers, clinicians, public health practitioners, and other stakeholders recruited through purposive and convenience sampling by the study team. Open-ended questions were developed to prompt discussion. FGs I and II concentrated on phylodynamics for the public health practitioner, while FGs III and IV discussed the methodological nuances of phylodynamic inference. Two FGs per topic area to increase data saturation. An iterative, thematic qualitative framework was used for data analysis.

RESULTS:

We invited 41 experts to the FGs, and 23 (56%) agreed to participate. Across all the FG sessions, 15 (65%) of the participants were female, 17 (74%) were White, and 5 (22%) were Black. Participants were described as molecular epidemiologists (MEs; n=9, 39%), clinician-researchers (n=3, 13%), infectious disease experts (IDs; n=4, 17%), and public health professionals at the local (PHs; n=4, 17%), state (n=2, 9%), and federal (n=1, 4%) levels. They represented multiple countries in Europe, the United States, and the Caribbean. Nine major themes arose from the discussions (1) translational/implementation science, (2) precision public health, (3) fundamental unknowns, (4) proper scientific communication, (5) methods of epidemiological investigation, (6) sampling bias, (7) interoperability standards, (8) academic/public health partnerships, and (9) resources. Collectively, participants felt that successful uptake of phylodynamic tools to inform the public health response relies on the strength of academic and public health partnerships. They called for interoperability standards in sequence data sharing, urged careful reporting to prevent misinterpretations, imagined that public health responses could be tailored to specific variants, and cited resource issues that would need to be addressed by policy makers in future outbreaks.

CONCLUSIONS:

This study is the first to detail the viewpoints of public health practitioners and molecular epidemiology experts on the use of viral genomic data to inform the response to the COVID-19 pandemic. The data gathered during this study provide important information from experts to help streamline the functionality and use of phylodynamic tools for pandemic responses.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: JMIR Form Res Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: JMIR Form Res Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos