Evidence map›Paper›PMID 36848460›Full record

ArticleJMIR formative research2023

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

Shannan N Rich, Veronica Richards, Carla Mavian, Brittany Rife Magalis, Nathan Grubaugh, Sonja A Rasmussen, Simon Dellicour, Bram Vrancken, Christine Carrington, Rebecca Fisk-Hoffman and 14 more

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Precision public health after Covid-19: a scoping review.International journal for equity in health · 2025
    Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Shannan N RichDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0002-1203-2443
Veronica RichardsDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0002-1391-0607
Carla MavianDepartment of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0003-3819-5520
Brittany Rife MagalisDepartment of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0001-6088-4651
Nathan GrubaughDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, United States.ORCID https://orcid.org/0000-0003-2031-1933
Sonja A RasmussenDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0002-0574-4928
Simon DellicourSpatial Epidemiology Lab, Université Libre de Bruxelles, Bruxelles, Belgium.ORCID https://orcid.org/0000-0001-9558-1052
Bram VranckenSpatial Epidemiology Lab, Université Libre de Bruxelles, Bruxelles, Belgium.ORCID https://orcid.org/0000-0001-6547-5283
Christine CarringtonDepartment of Preclinical Sciences, University of the West Indies, St Augustine, Trinidad and Tobago.ORCID https://orcid.org/0000-0001-6533-9302
Rebecca Fisk-HoffmanDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0002-2421-2601
Demi Danso-OdeiFlorida Department of Health in Alachua County, Gainesville, FL, United States.ORCID https://orcid.org/0000-0001-5967-7081
Daniel ChacretonDivision of Disease Control and Health Protection, Florida Department of Health, Tallahassee, FL, United States.ORCID https://orcid.org/0000-0003-4036-2113
Jerne ShapiroDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0001-8830-0232
Marie Nancy SeraphinDivision of Infectious Diseases and Global Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0002-2120-6011
Crystal HeppPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, United States.ORCID https://orcid.org/0000-0002-0612-3648
Allison BlackChan Zuckerberg Initiative, Redwood City, CA, United States.ORCID https://orcid.org/0000-0002-6618-4127
Ann DennisDivision of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID https://orcid.org/0000-0003-0687-9661
Nídia Sequeira TrovãoDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, United States.ORCID https://orcid.org/0000-0002-2106-1166
Anne-Mieke VandammeDepartment of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-6594-2766
Angela RasmussenVaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, SK, Canada.ORCID https://orcid.org/0000-0001-9462-3169
Michael LauzardoDivision of Infectious Diseases and Global Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0002-7096-4185
Natalie DeanDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0003-3884-0921
Marco SalemiDepartment of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0003-0136-2102
Mattia ProsperiDepartment of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID https://orcid.org/0000-0002-9021-5595

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Linking within- and between-host dynamics in tracking recent Mycobacterium tuberculosis transmissionK01AI153544 · NIAID · UNIVERSITY OF FLORIDA · PI SERAPHIN, MARIE NANCY · 2021 to 2025
$652k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS K01 AI153544NIAID NIH HHS L30 AI146934
6 · The paper itself

Abstract

backgroundIn 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.

objectiveThe 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.

methodsIn 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.

resultsWe 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.

conclusionsThis 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.

Indexed as

bioinformaticsCOVID-19dataepidemiologygenomicgenomic surveillancemolecular epidemiologymonitoringpandemicphylodynamicphylogeneticresponseSARS-CoV-2surveillancetransmissionvariantsvirology

Identifiers

PMID36848460
PMCPMC10131930

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.