Using machine learning to develop a novel COVID-19 Vulnerability Index (C19VI)
- 5 February 2021
- journal article
- research article
- Published by Elsevier BV in Science of The Total Environment
- Vol. 773, 145650
- https://doi.org/10.1016/j.scitotenv.2021.145650
Abstract
No abstract availableThis publication has 40 references indexed in Scilit:
- Making sense of Cronbach's alphaInternational Journal of Medical Education, 2011
- A Social Vulnerability Index for Disaster ManagementJournal of Homeland Security and Emergency Management, 2011
- Understanding receiver operating characteristic (ROC) curvesCJEM, 2006
- Statistics Notes: Diagnostic tests 3: receiver operating characteristic plotsBMJ, 1994
- Estimates of the Regression Coefficient Based on Kendall's TauJournal of the American Statistical Association, 1968
- Coefficient alpha and the internal structure of testsPsychometrika, 1951
- Individual Comparisons by Ranking MethodsBiometrics Bulletin, 1945
- Nonparametric Tests Against TrendEconometrica, 1945
- The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of VarianceJournal of the American Statistical Association, 1937