@misc{10481/72272,
year = {2021},
month = {12},
url = {http://hdl.handle.net/10481/72272},
abstract = {We 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.},
organization = {R&D&I project grants	ECO2017-86245-P
PID2020-114309GB-I00
MCIN/AEI/10.13039/501100011033},
organization = {"ERDF A way of making Europe"/EU	MCIN/AEI/10.13039/501100011033
PGC2018-097965-B-I00},
organization = {Junta de Andalucia	P18-FR-2933},
organization = {FEDER UGR	A-SEJ-14-UGR20},
organization = {Grupos PAIDI	SEJ660},
organization = {Generalitat Valenciana
European Commission
General Electric	PROMETEO/2021/063},
publisher = {Springer},
keywords = {Epidemiology},
keywords = {Comorbidity},
keywords = {Lethality},
keywords = {Equal attribution index},
keywords = {Shapley value index},
keywords = {COVID-19},
title = {Mathematical indices for the influence of risk factors on the lethality of a disease},
doi = {10.1007/s00285-021-01700-4},
author = {Martínez Rico, Ricardo and Sánchez Soriano, Joaquín},
}