Correlation of national and healthcare workers COVID-19 infection data; implications for large-scale viral testing programs.

ABSTRACT: Time analysis of the course of an infectious disease epidemic is a critical way to understand the dynamics of pathogen transmission and the effect of population scale interventions. Computational methods have been applied to the progression of the COVID-19 outbreak in five different countries (Ireland, Germany, UK, South Korea and Iceland) using their reported daily infection data. A Gaussian convolution smoothing function constructed a continuous epidemic line profile that was segmented into longitudinal time series of mathematically fitted individual logistic curves. The time series of fitted curves allowed comparison of disease progression with differences in decreasing daily infection numbers following the epidemic peak being of specific interest. A positive relationship between the ra

SUBMITTER: Wu D 

PROVIDER: S-EPMC8064524 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature