Assessing Pandemic Uncertainty on Conditions of Vaccination and Self-isolation
A share of predictable information about the forthcoming state of a three-sided coin (susceptible—infected—immune) with the regular and random transition times between states is used for assessing the degree of pandemic uncertainty in our model. Unreliable and unsafe vaccines (that do not guarantee...
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| Veröffentlicht in: | Lobachevskii journal of mathematics 2021, Vol.42 (14), p.3550-3560 |
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| container_issue | 14 |
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| container_title | Lobachevskii journal of mathematics |
| container_volume | 42 |
| creator | Volchenkov, D. |
| description | A share of predictable information about the forthcoming state of a
three-sided coin
(susceptible—infected—immune) with the regular and random transition times between states is used for assessing the degree of pandemic uncertainty in our model. Unreliable and unsafe vaccines (that do not guarantee absolute immunity) as well as long self-isolation making transition times random increase the degree of pandemic uncertainty, worsening the damaging impact for both society and the economy. |
| doi_str_mv | 10.1134/S1995080222020184 |
| format | Article |
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three-sided coin
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| fulltext | fulltext |
| identifier | ISSN: 1995-0802 |
| ispartof | Lobachevskii journal of mathematics, 2021, Vol.42 (14), p.3550-3560 |
| issn | 1995-0802 1818-9962 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8962943 |
| source | SpringerNature Journals |
| subjects | Algebra Analysis Geometry Impact analysis Impact damage Mathematical Logic and Foundations Mathematics Mathematics and Statistics Pandemics Probability Theory and Stochastic Processes Uncertainty |
| title | Assessing Pandemic Uncertainty on Conditions of Vaccination and Self-isolation |
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