ABSTRACT
SARS-Cov-19 is a highly infectious disease, and it can impale in to the microlevel, continues to spread rapidly worldwide in different seasons, and affects a specific age group of the population. An increased understanding of the underlying level of transmission and infection severity is crucial for guiding the pandemic response. However, the estimation of a surge of COVID-19 in the specific age group is very important for guiding the pandemic policy interventions. Only few studies are available in the literature to determine the age-specific incidence and mortality of COVID-19 at a global platform. In this proximity of the research gap, this chapter demonstrates different age-specific epidemiological models to describe the characteristics and attributes of the pandemic disease. This model is a vital public health tool to assess the variability in surveillance capacities, case screening, and healthcare decision behavior. The model is very handy to analyze massive data sets, and there is no complexity in interpretation. The model will provide complete reporting associated with age-specific positivity rate, extrapolate case fatality rate, and serve as an indicator for the estimation of the size of population that could be infected in different regions such as low, medium, and high prevalence states. We adopt very easy mathematical equations to construct the model with different postulates.
