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A statistical analysis of COVID-19 pandemic based on the temporal evolution of entropy in different countries
Turkish Journal of Public Health ; 20(2):235-243, 2022.
Article in English | CAB Abstracts | ID: covidwho-2040552
ABSTRACT

Objective:

Currently the Covid-19 pandemic is studied with great expectations by several epidemiological models with the aim of predicting the future behaviour of the pandemic. Determining the level of disorder in the pandemic can give us insight into the societal reactions to the pandemic the socio-economic structures and health systems in different countries.
Keywords
Prion, Viral, Bacterial and Fungal Pathogens of Humans [VV210]; Mathematics and Statistics [ZZ100]; Host Resistance and Immunity [HH600]; Social Psychology and Social Anthropology [UU485]; human diseases; coronavirus disease 2019; viral diseases; pandemics; public health; statistical analysis; temporal variation; countries; entropy; epidemiology; mathematical models; prediction; socioeconomic status; spread; disease transmission; vaccines; vaccination; immunization; immunization programmes; health protection; disease prevention; genetic variation; disease incidence; time series; immune sensitization; man; Severe acute respiratory syndrome coronavirus 2; UK; Germany; France; Italy; Spain; Turkey; Russia; Iran; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; British Isles; Western Europe; Europe; Commonwealth of Nations; high income countries; OECD Countries; very high Human Development Index countries; European Union Countries; Mediterranean Region; Southern Europe; upper-middle income countries; West Asia; Asia; APEC countries; high Human Development Index countries; lower-middle income countries; Middle East; SARS-CoV-2; viral infections; statistical methods; Britain; United Kingdom; Russian Federation; immunization programs; genetic variability; genotypic variability; genotypic variation

Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Language: English Journal: Turkish Journal of Public Health Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: CAB Abstracts Language: English Journal: Turkish Journal of Public Health Year: 2022 Document Type: Article