An axiomatic approach towards pandemic performance indicators

Martínez Rico, Ricardo; Moreno-Ternero, Juan D.

doi:10.1016/j.econmod.2022.105983

1-s2.0-S0264999322002292-main.pdf (1.025Mb)

Identificadores

URI: https://hdl.handle.net/10481/77003

DOI: 10.1016/j.econmod.2022.105983

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Editorial

Elsevier

Materia

Pandemic

Incidence

Hospitalizations

Deaths

Axioms

Fecha

2022-08-06

Referencia bibliográfica

R. Martínez and J.D. Moreno-Ternero. An axiomatic approach towards pandemic performance indicators. Economic Modelling 116 (2022) 105983 [https://doi.org/10.1016/j.econmod.2022.105983]

Patrocinador

Spanish Ministry of Science and Innovation, through the research projects PID2020-115011GB-I00 (funded by MCIN/AEI/10.13039/501100011033/), PID2020- 114309GB-I00 (funded by MCIN/AEI/10.13039/501100011033/); Junta de Andalucía through grants P18-FR-2933 and A-SEJ-14-UGR20; Funding for open access publishing: Universidad Pablo de Olavide/CBUA

Resumen

During a pandemic, each country (or region) is characterized by a status matrix indicating its positive cases, hospitalizations and deaths. A pandemic performance indicator is a real-valued mapping from the set of status matrices to the set of non-negative real numbers, whereby lower values stand for better performance. We show that four axioms together characterize a family of indicators arising from a weighted average of the incidence rate, morbidity rate and mortality rate. We use these indicators to evaluate the impact of COVID-19 in major countries worldwide.

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