An axiomatic approach towards pandemic performance indicators Martínez Rico, Ricardo Moreno-Ternero, Juan D. Pandemic Incidence Hospitalizations Deaths Axioms We thank Angus C. Chu (co-editor of this journal), the associate editor and two referees for helpful comments and suggestions. Financial support from the 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/) and Junta de Andalucía through grants P18-FR-2933 and A-SEJ-14-UGR20 is also gratefully acknowledged. Funding for open access publishing: Universidad Pablo de Olavide/CBUA. Supplementary data Supplementary material related to this article can be found online at https://doi.org/10.1016/j.econmod.2022.105983. 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. 2022-09-27T08:07:36Z 2022-09-27T08:07:36Z 2022-08-06 info:eu-repo/semantics/article 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] https://hdl.handle.net/10481/77003 10.1016/j.econmod.2022.105983 eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional Elsevier