The data on current geographic spread of coronavirus shows heterogeneity. This remains unexplained, however it might reflect according to scientists delays in virus
introduction into the population, differentials in testing and/or reporting, differentials in the
implementation, scale, adherence, and timing of public health interventions, or other
epidemiological factors. Researchers from the Faculty of Health Sciences at the American University of Beirut, Qatar University and Cornell University published a new study with the aim of exploring the role of age in explaining the differential
spread of the infection and its future epidemic potential.
The study finds that 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."