Analysis of the health network of Metropolitan Lima against large-scale earthquakes

Miguel Nunez-del-Prado; John Barrera

doi:10.1007/978-3-030-76228-5_32

Analysis of the health network of Metropolitan Lima against large-scale earthquakes

Miguel Nunez-del-Prado, John Barrera

Universidad del Pacífico

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

Peru is a highly seismic country located in the Ring of Fire, making it vulnerable to earthquakes and tsunamis. In the present work, we examined Lima’s health system capacity from three different and complementary points of view. We first analyze the Hospital Treatment Capacity (HTC) of 41 hospitals of II and III categories from EsSalud and MINSA in Lima, Peru. Second, we computed the hospitals’ coverage area and their citizens’ health demand as the aftermath of an earthquake of 8 Mw magnitude. Finally, an accessibility simulation to reach the hospitals was performed, taking into account real traffic jams conditions and street degradation. This document aims to provide elements for the strengthening of the Peruvian fragile health system.

Idioma original	Inglés
Título de la publicación alojada	Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings
Editores	Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
Lugar de publicación	Cham
Páginas	445-459
Número de páginas	15
ISBN (versión digital)	978-3-030-76228-5
DOI	https://doi.org/10.1007/978-3-030-76228-5_32
Estado	Publicada - 21 may. 2021
Evento	International Conference on Information Management and Big Data - Lima, Perú Duración: 1 oct. 2020 → 3 oct. 2020 Número de conferencia: 7 https://simbig.org/SIMBig2020/

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1410 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	International Conference on Information Management and Big Data
Título abreviado	SIMBig
País/Territorio	Perú
Ciudad	Lima
Período	1/10/20 → 3/10/20
Dirección de internet	https://simbig.org/SIMBig2020/

Nota bibliográfica

Funding Information:
We would like to thank our colleagues Gabriel Aguirre Martens and Hugo Alatrista-Salas for the discussion, review and suggestions that enrich the present work.

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1007/978-3-030-76228-5_32

Otros archivos y enlaces

1 Citas de Scopus
1 Libro

Information management and big data: 7th Annual International Conference, SIMBig 2020, Lima, Peru, October 1–3, 2020, Proceedings
Lossio-Ventura, J. A., Valverde-Rebaza, J. C. (ed.), Díaz, E. (ed.) & Alatrista-Salas, H. (ed.), 2021, Cham. 554 p. (Communications in Computer and Information Science; vol. 1410 CCIS)
Producción científica: Informe/libro › Libro › revisión exhaustiva

Citar esto

Nunez-del-Prado, M., & Barrera, J. (2021). Analysis of the health network of Metropolitan Lima against large-scale earthquakes. En J. A. Lossio-Ventura, J. C. Valverde-Rebaza, E. Díaz, & H. Alatrista-Salas (Eds.), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings (pp. 445-459). (Communications in Computer and Information Science; Vol. 1410 CCIS).. https://doi.org/10.1007/978-3-030-76228-5_32

Nunez-del-Prado, Miguel ; Barrera, John. / Analysis of the health network of Metropolitan Lima against large-scale earthquakes. Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. editor / Juan Antonio Lossio-Ventura ; Jorge Carlos Valverde-Rebaza ; Eduardo Díaz ; Hugo Alatrista-Salas. Cham, 2021. pp. 445-459 (Communications in Computer and Information Science).

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abstract = "Peru is a highly seismic country located in the Ring of Fire, making it vulnerable to earthquakes and tsunamis. In the present work, we examined Lima{\textquoteright}s health system capacity from three different and complementary points of view. We first analyze the Hospital Treatment Capacity (HTC) of 41 hospitals of II and III categories from EsSalud and MINSA in Lima, Peru. Second, we computed the hospitals{\textquoteright} coverage area and their citizens{\textquoteright} health demand as the aftermath of an earthquake of 8 Mw magnitude. Finally, an accessibility simulation to reach the hospitals was performed, taking into account real traffic jams conditions and street degradation. This document aims to provide elements for the strengthening of the Peruvian fragile health system.",

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Nunez-del-Prado, M & Barrera, J 2021, Analysis of the health network of Metropolitan Lima against large-scale earthquakes. En JA Lossio-Ventura, JC Valverde-Rebaza, E Díaz & H Alatrista-Salas (eds.), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Communications in Computer and Information Science, vol. 1410 CCIS, Cham, pp. 445-459, International Conference on Information Management and Big Data, Lima, Perú, 1/10/20. https://doi.org/10.1007/978-3-030-76228-5_32

Analysis of the health network of Metropolitan Lima against large-scale earthquakes. / Nunez-del-Prado, Miguel; Barrera, John.
Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. ed. / Juan Antonio Lossio-Ventura; Jorge Carlos Valverde-Rebaza; Eduardo Díaz; Hugo Alatrista-Salas. Cham, 2021. p. 445-459 (Communications in Computer and Information Science; Vol. 1410 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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Nunez-del-Prado M, Barrera J. Analysis of the health network of Metropolitan Lima against large-scale earthquakes. En Lossio-Ventura JA, Valverde-Rebaza JC, Díaz E, Alatrista-Salas H, editores, Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Cham. 2021. p. 445-459. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-76228-5_32