In:
Technium Social Sciences Journal, PLUS COMMUNICATION CONSULTING SRL, Vol. 10 ( 2020-08-01), p. 637-644
Kurzfassung:
Most of the research related to the COVID-19 pandemic deals with the biological and epidemiological factors which have driven the spread of the coronavirus around the globe. In this paper, we analyse how societal and economic variates relate to the number of cases and deaths across countries, via machine learning methods. Our findings recommend focusing our attention on developing countries where the healthcare system might suffer the most.
Materialart:
Online-Ressource
ISSN:
2668-7798
DOI:
10.47577/tssj.v10i1.1357
Sprache:
Unbekannt
Verlag:
PLUS COMMUNICATION CONSULTING SRL
Publikationsdatum:
2020
ZDB Id:
3007014-4
