Espinosa, OscarFranco, Oscar H.Ospina, MarthaCarabalí, MabelBaeza Yates, Ricardo2025-05-202025-05-202024Espinosa O, Franco OH, Ospina M, Carabalí M, Baeza-Yates R. The value of mathematical modelling approaches in epidemiology for public health decision making. Rev Colomb Anestesiol. 2024;52(1):e1079. DOI: 10.5554/22562087.e10792256-2087http://hdl.handle.net/10230/70437It is discussed the relevance of quantitative approaches, specifically mathematical modelling in epidemiology, in the public health decision-making process. This topic is discussed here based on the experience of various experts in mathematical epidemiology and public health. First, the definition of mathematical modelling is presented, especially in the context of epidemiology. Second, the different uses and socio-political implications, including empirical examples of recent experiences that have taken place at the international level are addressed. Finally, some general considerations regarding the challenges encountered in the use and application of mathematical modelling in epidemiology in the decision-making process at the local and national levels.application/pdfengCopyright © 2023 Sociedad Colombiana de Anestesiología y Reanimación (S.C.A.R.E.). Este es un artículo de acceso abierto bajo la licencia CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/).info:eu-repo/semantics/articlehttp://dx.doi.org/10.5554/22562087.e1079Mathematical modellingEpidemiologyPublic healthDecision makingAnesthesiologyinfo:eu-repo/semantics/openAccess