Abstract
AbstractWe develop a theoretical model to measure the relative relevance of different pathologies of the lethality of a disease in society. This approach allows a ranking of diseases to be determined, which can assist in establishing priorities for vaccination campaigns or prevention strategies. Among all possible measurements, we identify three families of rules that satisfy a combination of relevant properties: neutrality, irrelevance, and one of three composition concepts. One of these families includes, for instance, the Shapley value of the associated cooperative game. The other two families also include simple and intuitive indices. As an illustration, we measure the relative relevance of several pathologies in lethality due to COVID-19.
Funder
Agencia Estatal de Investigación
European Regional Development Fund
Ministerio de Ciencia, Innovación y Universidades
Ministerio de Economía y Competitividad
Junta de Andalucía
Generalitat Valenciana
Ministerio de Cienciae Innovación
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Agricultural and Biological Sciences (miscellaneous),Modeling and Simulation
Cited by
5 articles.
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