Strengthening capacities of multidisciplinary professionals to apply data science in public health: Experience of an international graduate diploma program in Peru

Descripción del Articulo

Nowadays it is necessary to strengthen health information systems and data-based solutions. However, there are few graduate training programs in Peru to use tools and methods of data science applied in public health. This article describes the development process and the initial assessment regarding...

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Detalles Bibliográficos
Autores: Gutíerrez Aguado, Alfonso, Curioso, Walter H., Machicao, José Carlos, Eguia, Hans
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Continental
Repositorio:CONTINENTAL-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.continental.edu.pe:20.500.12394/18282
Enlace del recurso:https://hdl.handle.net/20.500.12394/18282
https://doi.org/10.1016/j.ijmedinf.2022.104913
Nivel de acceso:acceso abierto
Materia:Análisis numérico
Numerical analysis
Educación
Education
Pandemia de COVID-19, 2020
COVID-19 Pandemic, 2020
Epidemias
Epidemics
https://purl.org/pe-repo/ocde/ford#3.00.00
Descripción
Sumario:Nowadays it is necessary to strengthen health information systems and data-based solutions. However, there are few graduate training programs in Peru to use tools and methods of data science applied in public health. This article describes the development process and the initial assessment regarding the experience of the participants in an international multidisciplinary diploma in data intelligence for pandemics and epidemics preparedness, which was carried out from January to May 2021. The diploma was structured in 7 modules and 40 Peruvian professionals participated, of which 11 (27.5%) were women, and 16 (40%) came from regions outside of Lima and Callao. We discussed the need to strengthen institutional and health professionals’ capacity to adequately manage large volumes of data, information, and knowledge through the application of emerging technologies to optimize data management processes to improve decision-making in health.
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