Diagnostic model for the society safety under COVID-19 pandemic conditions. (April 2021)
- Record Type:
- Journal Article
- Title:
- Diagnostic model for the society safety under COVID-19 pandemic conditions. (April 2021)
- Main Title:
- Diagnostic model for the society safety under COVID-19 pandemic conditions
- Authors:
- Varotsos, Costas A.
Krapivin, Vladimir F.
Xue, Yong - Abstract:
- Abstract: The aim of this paper is to develop an information-modeling method for assessing and predicting the consequences of the COVID-19 pandemic. To this end, a detailed analysis of official statistical information provided by global and national organizations is carried out. The developed method is based on the algorithm of multi-channel big data processing considering the demographic and socio-economic information. COVID-19 data are analyzed using an instability indicator and a system of differential equations that describe the dynamics of four groups of people: susceptible, infected, recovered and dead. Indicators of the global sustainable development in various sectors are considered to analyze COVID-19 data. Stochastic processes induced by COVID-19 are assessed with the instability indicator showing the level of stability of official data and the reduction of the level of uncertainty. It turns out that the number of deaths is rising with the Human Development Index. It is revealed that COVID-19 divides the global population into three groups according to the relationship between Gross Domestic Product and the number of infected people. The prognosis for the number of infected people in December 2020 and January-February 2021 shows negative events which will decrease slowly.
- Is Part Of:
- Safety science. Volume 136(2021)
- Journal:
- Safety science
- Issue:
- Volume 136(2021)
- Issue Display:
- Volume 136, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 136
- Issue:
- 2021
- Issue Sort Value:
- 2021-0136-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04
- Subjects:
- COVID-19 -- Pandemic -- Indicator -- Model -- Algorithm -- Prognosis -- Population safety
Industrial accidents -- Periodicals
Accident Prevention -- Periodicals
Safety -- Periodicals
Travail -- Accidents -- Périodiques
363.11 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09257535 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/safety-science/ ↗ - DOI:
- 10.1016/j.ssci.2021.105164 ↗
- Languages:
- English
- ISSNs:
- 0925-7535
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8069.124900
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15592.xml