Universal Estimation of an Intercity Social Distancing in Covid-19 Epochs

Abstract

In pandemic times, in most countries the closing of airports and local as well as international flights are done in a coherent manner that allow people to improve their decisions respect to the mobility that might emerge in each case. Once that travelers have moved to a different country or city, it is mandatory that all of them have an updated knowledge of the ongoing pandemic whose main variable is the number of infections at time and certain geographic area. In this paper, an universal algorithm that underlines its usage in different places is presented. With this the estimation error is also provided. The purpose of this study is to provide a theory inside a framework of applications for smartphone to provide information about the places with infections, vaccination rate and fatalities. This might be of relevance for travelers that can carry out spatial displacements with certain security by empowering them to improve their daily objectives still at pandemic times.