dc.contributor.author | Martínez Rico, Ricardo | |
dc.contributor.author | Sánchez Soriano, Joaquín | |
dc.date.accessioned | 2022-01-10T11:13:18Z | |
dc.date.available | 2022-01-10T11:13:18Z | |
dc.date.issued | 2021-12-08 | |
dc.identifier.citation | Martínez, R., Sánchez-Soriano, J. Mathematical indices for the influence of risk factors on the lethality of a disease. J. Math. Biol. 83, 74 (2021). [https://doi.org/10.1007/s00285-021-01700-4] | es_ES |
dc.identifier.uri | http://hdl.handle.net/10481/72272 | |
dc.description | We thank the Editor and two anonymous Reviewers for their time to review our paper and also for their incisive comments. These comments have been very helpful to improve our work. Ricardo Martinez acknowledges the R&D&I project grants ECO2017-86245-P and PID2020-114309GB-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe"/EU, and he also acknowledges financial support from Junta de Andalucia under projects P18-FR-2933, FEDER UGR A-SEJ-14-UGR20, and Grupos PAIDI SEJ660. Joaquin Sanchez-Soriano acknowledges the R&D&I project grant PGC2018-097965-B-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe"/EU, and he also acknowledges financial support from the Generalitat Valenciana under project PROMETEO/2021/063. | es_ES |
dc.description.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. | es_ES |
dc.description.sponsorship | R&D&I project grants ECO2017-86245-P
PID2020-114309GB-I00
MCIN/AEI/10.13039/501100011033 | es_ES |
dc.description.sponsorship | "ERDF A way of making Europe"/EU MCIN/AEI/10.13039/501100011033
PGC2018-097965-B-I00 | es_ES |
dc.description.sponsorship | Junta de Andalucia P18-FR-2933 | es_ES |
dc.description.sponsorship | FEDER UGR A-SEJ-14-UGR20 | es_ES |
dc.description.sponsorship | Grupos PAIDI SEJ660 | es_ES |
dc.description.sponsorship | Generalitat Valenciana
European Commission
General Electric PROMETEO/2021/063 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | Atribución 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Epidemiology | es_ES |
dc.subject | Comorbidity | es_ES |
dc.subject | Lethality | es_ES |
dc.subject | Equal attribution index | es_ES |
dc.subject | Shapley value index | es_ES |
dc.subject | COVID-19 | es_ES |
dc.title | Mathematical indices for the influence of risk factors on the lethality of a disease | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1007/s00285-021-01700-4 | |
dc.type.hasVersion | VoR | es_ES |