Modelamiento espacial de casos confirmados por COVID-19 en Chile

Nicolás Hamann, Carola Blazquez

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva


This study utilizes global and local spatial modeling techniques to comprehend the factors that may contribute to the expansion of the SARS-CoV-2 virus at the commune level in Chile. The results show that the global regression model (Ordinary Least Squares) presents a poor fit with an adjusted R2 of 0.33. However, the local modeling regressions (Multiscale Geographically Weighted Regression, MGWR) obtain a better fit in the explanation of the factors that affect the incidence rate of the disease COVID-19 with a R2 of 0.90 and presents a AICc lower than the models obtained by the Geographically Weighted Regression. Therefore, MGWR significantly improves the performance in comparison with the common global regression model. The mobility indices, meteorological factors such as wind speed and precipitation, and the environmental pollution variables proved to be related with the incidence rate of COVID-19. The use of local regression models yields relevant information to health professionals and legislators to help effectively control this virus and other similar viruses with similar spread characteristics in Chile.

Título traducido de la contribuciónSpatial modeling of confirmed cases of COVID-19 in Chile
Idioma originalEspañol
Título de la publicación alojadaProceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
Subtítulo de la publicación alojadaLeadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023
EditoresMaria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9786289520743
EstadoPublicada - 2023
Evento21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 - Buenos Aires, Argentina
Duración: 19 jul. 202321 jul. 2023

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (versión digital)2414-6390


Conferencia21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
CiudadBuenos Aires

Palabras clave

  • Chile
  • COVID-19
  • Pandemic
  • spatial regression models

Áreas temáticas de ASJC Scopus

  • Ingeniería (miscelánea)
  • Educación


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