Global and Temporal Covid-19 Risk Evaluation
Bibliographic Data
| ID | 22069746 |
|---|---|
| Authors | Mudassar Hassan Arsalan (0000-0001-9622-5930, Western Sydney University), Omar Mubin (0000-0002-6435-6407, Western Sydney University, corresponding author), Fady Alnajjar (0000-0001-6102-3765, United Arab Emirates University, corresponding author), Belal Alsinglawi (0000-0003-0316-3641, Western Sydney University), Nazar Zaki (0000-0002-6259-9843, United Arab Emirates University) |
| Year | 2020 |
| Volume | 8 |
| Pages | 440-440 |
| Publication date | 2020-08-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2020.00440 |
| PMID | 32850611 |
| OpenAlex | W3048199063 |
| Language | EN |
| Citations received | 4 |
| References cited | 25 |
The COVID-19 pandemic has caused unprecedented crisis across the world, with many countries struggling with the pandemic. In order to understand how each country is impacted by the virus and assess the risk on a global scale we present a regression based analysis using two pre-existing indexes, namely the Inform and Infectious Disease Vulnerability Index, in conjunction with the number of elderly living in the population. Further we introduce a temporal layer in our modeling by incorporating the stringency level employed by each country over a period of 6 time intervals. Our results show that the indexes and level of stringency are not ideally suited for explaining variation in COVID-19 risk, however the ratio of elderly in the population is a stand out indicator in terms of its predictive power for mortality risk. In conclusion, we discuss how such modeling approaches can assist public health policy
2019-20 coronavirus outbreak · Betacoronavirus · Data science · Disease · Outbreak · Pandemic · Pathology · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Medicine · Viral Infections and Outbreaks Research · Virology
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| Unique citing works | 4 |
|---|---|
| Citations per year | 0,8 |
| Citation span | 2021 - 2022 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |