Determinantes de la evolución del número de casos y muertes por COVID-19 en el Perú: movilidad, geografía y desarrollo económico

Descripción del Articulo

This research seeks to contribute to the literature on the determi­nants of the evolution of the number of cases and deaths from COVID-19 in Peru; specifically, the role of mobility of people —understood as dis­placement—, geography, and economic development. To do this, we use random-effects Poisso...

Descripción completa

Detalles Bibliográficos
Autores: Seminario (†), Bruno, Palomino, Luis, Berrocal, Vanessa, Gastiaburú, Analucía
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad del Pacífico
Repositorio:Revistas - Universidad del Pacífico
Lenguaje:español
inglés
OAI Identifier:oai:ojs.revistas.up.edu.pe:article/1500
Enlace del recurso:https://revistas.up.edu.pe/index.php/apuntes/article/view/1500
Nivel de acceso:acceso abierto
Materia:COVID-19
mobility
panel data
Peru
movilidad
Panel de datos
Perú
Descripción
Sumario:This research seeks to contribute to the literature on the determi­nants of the evolution of the number of cases and deaths from COVID-19 in Peru; specifically, the role of mobility of people —understood as dis­placement—, geography, and economic development. To do this, we use random-effects Poisson regressions and data from four groups of variables at the district level: (1) COVID-19, (2) mobility of people, (3) geographic variables, and (4) socioeconomic variables. The main results indicate that the mobility of people has a negative relationship with the probability of accumulating cases and deaths of COVID-19 until the ninth week of the pandemic, but it has a positive relationship from the eleventh week. We also find that socioeconomic variables such as GDP per capita and life expectancy have positive associations with the probability of accumulating COVID-19 cases and deaths, while geographic variables such as height and slope of the territory have negative associations. The results also indicate that the role of geographic and socioeconomic variables depends on the inclusion of Lima in the empirical analysis.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).