Data suggest COVID-19 affected numbers greatly exceeded detected numbers, in four European countries, as per a delayed SEIQR model.

ABSTRACT: People in many countries are now infected with COVID-19. By now, it is clear that the number of people infected is much greater than the number of reported cases. To estimate the infected but undetected/unreported cases using a mathematical model, we can use a parameter called the probability of quarantining an infected individual. This parameter exists in the time-delayed SEIQR model (Scientific Reports, article number: 3505). Here, two limiting cases of a network of such models are used to estimate the undetected population. The first limit corresponds to the network collapsing onto a single node and is referred to as the mean-[Formula: see text] model. In the second case, the number of nodes in the network is infinite and results in a continuum model wherein the infectivity is statistic

SUBMITTER: Tiwari S 

PROVIDER: S-EPMC8046823 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature