Age could be driving variable SARS-CoV-2 epidemic trajectories worldwide. Academic Article uri icon

Overview

abstract

  • Current geographic spread of documented severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections shows heterogeneity. This study explores the role of age in potentially driving differentials in infection spread, epidemic potential, and rates of disease severity and mortality across countries. An age-stratified deterministic mathematical model that describes SARS-CoV-2 transmission dynamics was applied to 159 countries and territories with a population ≥1 million. Assuming worst-case scenario for the pandemic, the results indicate that there could be stark regional differences in epidemic trajectories driven by differences in the distribution of the population by age. In the African Region (median age: 18.9 years), the median R0 was 1.05 versus 2.05 in the European Region (median age: 41.7 years), and the median (per 100 persons) for the final cumulative infection incidence was 22.5 (versus 69.0), for severe and/or critical disease cases rate was 3.3 (versus 13.0), and for death rate was 0.5 (versus 3.9). Age could be a driver of variable SARS-CoV-2 epidemic trajectories worldwide. Countries with sizable adult and/or elderly populations and smaller children populations may experience large and rapid epidemics in absence of interventions. Meanwhile, countries with predominantly younger age cohorts may experience smaller and slower epidemics. These predictions, however, should not lead to complacency, as the pandemic could still have a heavy toll nearly everywhere.

publication date

  • August 20, 2020

Research

keywords

  • Betacoronavirus
  • Coronavirus Infections
  • Models, Theoretical
  • Pneumonia, Viral

Identity

PubMed Central ID

  • PMC7444586

Scopus Document Identifier

  • 85089769187

Digital Object Identifier (DOI)

  • 10.1101/2020.04.08.20056861

PubMed ID

  • 32817662

Additional Document Info

volume

  • 15

issue

  • 8