Article ; Online: Emerging algebraic growth trends in SARS-CoV-2 pandemic data.
2020 Volume 17, Issue 6, Page(s) 65012
Abstract: We study the reported data from the SARS-CoV-2 pandemic outbreak in January-May 2020 in 119 ... cases) display a strong agreement with algebraic growth and at a later epidemic stage also ... with a combined algebraic growth with exponential decay. Our results are also formulated in terms of compartment ...
| Abstract | We study the reported data from the SARS-CoV-2 pandemic outbreak in January-May 2020 in 119 countries. We observe that the time series of active cases in individual countries (the difference of the total number of confirmed infections and the sum of the total number of reported deaths and recovered cases) display a strong agreement with algebraic growth and at a later epidemic stage also with a combined algebraic growth with exponential decay. Our results are also formulated in terms of compartment-type mathematical models of epidemics. Within these models the universal scaling characterizing the observed regime in an advanced epidemic stage can be interpreted as an algebraic decay of the relative reproduction number R |
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| MeSH term(s) | Algorithms ; COVID-19/epidemiology ; Computer Simulation ; Humans ; Models, Statistical ; Pandemics ; SARS-CoV-2/isolation & purification |
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-11-19 |
| Publishing country | England |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2133216-2 |
| ISSN | 1478-3975 ; 1478-3967 |
| ISSN (online) | 1478-3975 |
| ISSN | 1478-3967 |
| DOI | 10.1088/1478-3975/abb6db |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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