Open AccessA Proactive Approach to Identify the Exposure Risk to COVID-19: Validation of the Pandemic Risk Exposure Measurement (PREM) Model Using Real-World Data
Author(s) -
Simon Grima,
Ramona Rupeika-Apoga,
Murat Kızılkaya,
Inna Romānova,
Rebecca Dalli Gonzi,
Mihajlo Jakovljević
Publication year - 2021
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s341500
Subject(s) - cronbach's alpha , exploratory factor analysis , statistics , confirmatory factor analysis , pandemic , econometrics , likert scale , covid-19 , polychoric correlation , level of measurement , structural equation modeling , mathematics , computer science , medicine , psychometrics , correlation , geometry , disease , pathology , infectious disease (medical specialty)
To statistically validate the PREM (Pandemic Risk Exposure Measurement) model devised in a previous paper by the authors and determine the model's relationship with the level of current COVID-19 cases (NLCC) and the level of current deaths related to COVID-19 (NLCD) based on the real country data.