Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis.

ABSTRACT:

Objectives

This study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)-infected people in countries.

Study design

Our data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19-infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system.

Methods

To analyze the variation in COVID-19-infected people in countries, we used negative binomial regression analysis.

Results

Our findings suggest a positive relationship between higher volume of airline passenger traffic carried in a country and higher numbers of patients with COVID-19. We further found that countries which have a higher number of airpor

SUBMITTER: Oztig LI 

PROVIDER: S-EPMC7351378 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature