Evidence map›Paper›PMID 34878616›Full record

ArticleJournal of mathematical biology2021

Mathematical indices for the influence of risk factors on the lethality of a disease.

Ricardo Martínez, Joaquín Sánchez-Soriano

Open access · hybridAbstract read
In one paragraph

Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Ricardo MartínezDepartmento de Teoría e Historia Económica, Universidad de Granada, Granada, Spain.ORCID https://orcid.org/0000-0001-6383-1766
Joaquín Sánchez-SorianoI.U. Centro de Investigación Operativa (CIO), Universidad Miguel Hernández de Elche, Elche, Spain. joaquin@umh.es.ORCID http://orcid.org/0000-0002-0458-2971
Universidad de Granada · ESUniversitat de Miguel Hernández d'Elx · ES

Funding

Agencia Estatal de Investigación PGC2018-097965-B-I00Agencia Estatal de Investigación PID2020-114309GB-I00European Regional Development Fund ECO2017-86245-PEuropean Regional Development Fund PGC2018-097965-B-I00European Regional Development Fund PID2020-114309GB-I00Generalitat Valenciana PROMETEO/2021/063Junta de Andalucía FEDER UGR A-SEJ-14-UGR20Junta de Andalucía P18-FR-2933Junta de Andalucía PAIDI SEJ660Ministerio de Cienciae Innovación PID2020-114309GB-I00Ministerio de Ciencia, Innovación y Universidades PGC2018-097965-B-I00Ministerio de Economía y Competitividad ECO2017-86245-P
6 · The paper itself

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.

Indexed as

COVID-19HumansModels, TheoreticalRisk FactorsSARS-CoV-2ComorbidityCOVID-19EpidemiologyEqual attribution indexLethalityShapley value index

Identifiers

PMID34878616
PMCPMC8653415
OpenAlexW4200528864

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.