Literature DB >> 33402873

A statistical theory of the strength of epidemics: an application to the Italian COVID-19 case.

Gabriele Pisano1, Gianni Royer-Carfagni1,2.   

Abstract

The proposed theory defines a relative index of epidemic lethality that compares any two configurations in different observation periods, preferably one in the acute and the other in a mild epidemic phase. Raw mortality data represent the input, with no need to recognize the cause of death. Data are categorized according to the victims' age, which must be renormalized because older people have a greater probability of developing a level of physical decay (human damage), favouring critical pathologies and co-morbidities. The probabilistic dependence of human damage on renormalized age is related to a death criterion considering a virus spread by contagion and our capacity to cure the disease. Remarkably, this is reminiscent of the Weibull theory of the strength of brittle structures containing a population of crack-like defects, in the correlation between the statistical distribution of cracks and the risk of fracture at a prescribed stress level. Age-of-death scaling laws are predicted in accordance with data collected in Italian regions and provinces during the first wave of COVID-19, taken as representative examples to validate the theory. For the prevention of spread and the management of the epidemic, the various parameters of the theory shall be informed on other existing epidemiological models.
© 2020 The Authors.

Entities:  

Keywords:  COVID-19; Weibull statistics; fracture mechanics; mathematical epidemiology; probabilistic mechanics

Year:  2020        PMID: 33402873      PMCID: PMC7776968          DOI: 10.1098/rspa.2020.0394

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  29 in total

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5.  Calculation of disease dynamics in a population of households.

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8.  Increased number of deaths during a chikungunya epidemic in Pernambuco, Brazil.

Authors:  Carlos Alexandre Antunes de Brito; Maria Glória Teixeira
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9.  Systematic selection between age and household structure for models aimed at emerging epidemic predictions.

Authors:  Lorenzo Pellis; Simon Cauchemez; Neil M Ferguson; Christophe Fraser
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Review 10.  Estimating epidemic exponential growth rate and basic reproduction number.

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