As soon as novel coronavirus (COVID-19) emerged in China in late 2019, the disease became a pandemic. Many studies are conducted to explore and further understand the virus and its spread. 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 characterizing key attributes of the epidemiology of this infection in China.
In the study entitled "Characterizing key attributes of the epidemiology of COVID-19 in China: Model-based estimations," the researchers constructed an age-stratified mathematical model to describe the transmission dynamics and estimate the age-specific differences in the biological susceptibility to the infection, age-assortativeness in transmission mixing, case fatality rate (CFR), and transition in rate of infectious contacts following introduction of mass interventions.
The study found that age is a principal factor in explaining the patterns of COVID-19 transmission dynamics in China. The biological susceptibility to the infection seems limited among children, intermediate among young to mid-age adults, but high among those >50 years of age.
Check the study HERE.