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A multivariate data analysis approach for investigating daily statistics of countries affected with COVID-19 pandemic
BACKGROUND: To understand the impact and volume of coronavirus (COVID-19) crisis, univariate analysis is tedious for describing the datasets reported daily. However, to capture the full picture and be able to compare situations and consequences for different countries, multivariate analytical models...
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| I publikationen: | Heliyon |
|---|---|
| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7685045/ https://ncbi.nlm.nih.gov/pubmed/33251372 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2020.e05575 |
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