Your browser doesn't support javascript.
Disentangling the dynamical underpinnings of differences in SARS-CoV-2 pathology using within-host ecological models.
Metcalf, C Jessica E; Grenfell, Bryan T; Graham, Andrea L.
  • Metcalf CJE; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
  • Grenfell BT; Princeton School of Public and International Affairs, Princeton University, New Jersey, United States of America.
  • Graham AL; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America.
PLoS Pathog ; 16(12): e1009105, 2020 12.
Article in English | MEDLINE | ID: covidwho-972196
ABSTRACT
Health outcomes following infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) are remarkably variable. The way the virus spreads inside hosts, and how this spread interacts with host immunity and physiology, is likely to determine variation in health outcomes. Decades of data and dynamical analyses of how other viruses spread and interact with host cells could shed light on SARS-CoV-2 within-host trajectories. We review how common axes of variation in within-host dynamics and emergent pathology (such as age and sex) might be combined with ecological principles to understand the case of SARS-CoV-2. We highlight pitfalls in application of existing theoretical frameworks relevant to the complexity of the within-host context and frame the discussion in terms of growing knowledge of the biology of SARS-CoV-2. Viewing health outcomes for SARS-CoV-2 through the lens of ecological models underscores the value of repeated measures on individuals, especially since many lines of evidence suggest important contingence on trajectory.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Replication / Host-Pathogen Interactions / SARS-CoV-2 / COVID-19 / Models, Biological Limits: Humans Language: English Journal: PLoS Pathog Year: 2020 Document Type: Article Affiliation country: Journal.ppat.1009105

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Virus Replication / Host-Pathogen Interactions / SARS-CoV-2 / COVID-19 / Models, Biological Limits: Humans Language: English Journal: PLoS Pathog Year: 2020 Document Type: Article Affiliation country: Journal.ppat.1009105