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
Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.
Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, United States.
JMIR Form Res. 2023 Apr 21;7:e39409. doi: 10.2196/39409.
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.
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.
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.
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.
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.
在严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行之后,科学家们竞相收集和分析SARS-CoV-2基因组数据,以便为针对2019冠状病毒病(COVID-19)的公共卫生应对措施提供实时信息。用于监测SARS-CoV-2基因组流行病学的开源系统发育和数据可视化平台因其能够揭示全球时空传播模式而迅速受到欢迎。然而,此类工具在为COVID-19公共卫生决策提供实时信息方面的效用仍有待探索。
本研究的目的是召集公共卫生、传染病、病毒学和生物信息学领域的专家(其中许多人积极参与了COVID-19应对工作),讨论并报告系统发育动力学工具在为大流行应对提供信息方面的应用。
2020年6月至2021年6月期间共进行了4次焦点小组讨论,涵盖了正在发生的COVID-19危机中变异株出现之前和之后以及疫苗接种时代。参与者包括通过研究团队的立意抽样和便利抽样招募的国家和国际学术及政府研究人员、临床医生、公共卫生从业者和其他利益相关者。设计了开放式问题以促进讨论。焦点小组I和II专注于面向公共卫生从业者的系统发育动力学,而焦点小组III和IV讨论了系统发育动力学推断的方法细微差别。每个主题领域进行两个焦点小组讨论以提高数据饱和度。采用迭代式主题定性框架进行数据分析。
我们邀请了41位专家参加焦点小组讨论,23位(56%)同意参与。在所有焦点小组讨论环节中,15位(65%)参与者为女性,17位(74%)为白人,5位(22%)为黑人。参与者包括分子流行病学家(n = 9,39%)、临床研究人员(n = 3,13%)、传染病专家(n = 4,17%)以及地方(n = 4,17%)、州(n = 2,9%)和联邦(n = 1,4%)层面的公共卫生专业人员。他们代表了欧洲、美国和加勒比地区的多个国家。讨论产生了九个主要主题:(1)转化/实施科学,(2)精准公共卫生,(3)基本未知因素,(4)恰当的科学传播,(5)流行病学调查方法,(6)抽样偏差,(7)互操作性标准,(8)学术/公共卫生伙伴关系,以及(9)资源。总体而言,参与者认为成功采用系统发育动力学工具为公共卫生应对提供信息依赖于学术和公共卫生伙伴关系的力量。他们呼吁在序列数据共享方面制定互操作性标准,敦促谨慎报告以防止误解,设想公共卫生应对措施可以针对特定变异株进行调整,并指出资源问题需要政策制定者在未来疫情爆发时加以解决。
本研究首次详细阐述了公共卫生从业者和分子流行病学专家对于利用病毒基因组数据为COVID-19大流行应对提供信息的观点。本研究期间收集的数据提供了来自专家的重要信息,以帮助简化系统发育动力学工具在大流行应对中的功能和使用。