Age-specific mortality risk from Covid-19 in Bulgaria
The accurate data modelling and analysis are very important for every process of data decision. In the case of current COVID-19 pandemic, any quality model is also vital for preservation of human lives and social stability. An important outline for this is the correct identification and estimation of asymmetry in mortality risk by age differentiation. For this purpose, we investigated in Bulgarian official data the relation between registered COVID-19 infections and related deaths by age and time to estimate the absolute and relative mortality risk. The aim is to design a basic framework for risk management strategies in order to minimize deaths during the ongoing COVID-19 epidemic in countries with similar healthcare levels. The used statistical methods are based on dynamic regression models and classical time series analysis.
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