Your browser doesn't support javascript.
Interpreting SARS-CoV-2 seroprevalence, deaths, and fatality rate - Making a case for standardized reporting to improve communication.
Cavataio, Joseph; Schnell, Santiago.
  • Cavataio J; Department of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Schnell S; Department of Molecular & Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: schnells@umich.edu.
Math Biosci ; 333: 108545, 2021 03.
Article in English | MEDLINE | ID: covidwho-1033643
ABSTRACT
The SARS-CoV-2 virus has spread across the world, testing each nation's ability to understand the state of the pandemic in their country and control it. As we looked into the epidemiological data to uncover the impact of the COVID-19 pandemic, we discovered that critical metadata is missing which is meant to give context to epidemiological parameters. In this review, we identify key metadata for the COVID-19 fatality rate after a thorough analysis of mathematical models, serology-informed studies and determinants of causes of death for the COVID-19 pandemic. In doing so, we find reasons to establish a set of standard-based guidelines to record and report the data from epidemiological studies. Additionally, we discuss why standardizing nomenclature is be a necessary component of these guidelines to improve communication and reproducibility. The goal of establishing these guidelines is to facilitate the interpretation of COVID-19 epidemiological findings and data by the general public, health officials, policymakers and fellow researchers. Our suggestions may not address all aspects of this issue; rather, they are meant to be the foundation for which experts can establish and encourage future guidelines throughout the appropriate communities.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Communication / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Reviews Limits: Humans Country/Region as subject: North America Language: English Journal: Math Biosci Year: 2021 Document Type: Article Affiliation country: J.mbs.2021.108545

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Communication / Pandemics / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Reviews Limits: Humans Country/Region as subject: North America Language: English Journal: Math Biosci Year: 2021 Document Type: Article Affiliation country: J.mbs.2021.108545