Modelamiento espacial de casos confirmados por COVID-19 en Chile

Nicolás Hamann; Carola Blazquez

Modelamiento espacial de casos confirmados por COVID-19 en Chile

Translated title of the contribution: Spatial modeling of confirmed cases of COVID-19 in Chile

Nicolás Hamann, Carola Blazquez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

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.

Translated title of the contribution	Spatial modeling of confirmed cases of COVID-19 in Chile
Original language	Spanish
Title of host publication	Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
Subtitle of host publication	Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023
Editors	Maria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
Publisher	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)	9786289520743
Publication status	Published - 2023
Event	21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 - Buenos Aires, Argentina Duration: 19 Jul 2023 → 21 Jul 2023

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2023-July
ISSN (Electronic)	2414-6390

Conference

Conference	21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
Country/Territory	Argentina
City	Buenos Aires
Period	19/07/23 → 21/07/23

ASJC Scopus subject areas

Engineering (miscellaneous)
Education

Cite this

Hamann, N., & Blazquez, C. (2023). Modelamiento espacial de casos confirmados por COVID-19 en Chile. In M. M. Larrondo Petrie, J. Texier, & R. A. R. Matta (Eds.), Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2023-July). Latin American and Caribbean Consortium of Engineering Institutions.

Hamann, Nicolás ; Blazquez, Carola. / Modelamiento espacial de casos confirmados por COVID-19 en Chile. Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. editor / Maria M. Larrondo Petrie ; Jose Texier ; Rodolfo Andres Rivas Matta. Latin American and Caribbean Consortium of Engineering Institutions, 2023. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

@inproceedings{3d86ce2f7f0c496986ec05f2ac2d5e58,

title = "Modelamiento espacial de casos confirmados por COVID-19 en Chile",

abstract = "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.",

keywords = "Chile, COVID-19, Pandemic, spatial regression models",

author = "Nicol{\'a}s Hamann and Carola Blazquez",

note = "Publisher Copyright: {\textcopyright} 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 ; Conference date: 19-07-2023 Through 21-07-2023",

year = "2023",

language = "Espa{\~n}ol",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

publisher = "Latin American and Caribbean Consortium of Engineering Institutions",

editor = "{Larrondo Petrie}, {Maria M.} and Jose Texier and Matta, {Rodolfo Andres Rivas}",

booktitle = "Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology",

}

Hamann, N & Blazquez, C 2023, Modelamiento espacial de casos confirmados por COVID-19 en Chile. in MM Larrondo Petrie, J Texier & RAR Matta (eds), Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2023-July, Latin American and Caribbean Consortium of Engineering Institutions, 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023, Buenos Aires, Argentina, 19/07/23.

Modelamiento espacial de casos confirmados por COVID-19 en Chile. / Hamann, Nicolás; Blazquez, Carola.
Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. ed. / Maria M. Larrondo Petrie; Jose Texier; Rodolfo Andres Rivas Matta. Latin American and Caribbean Consortium of Engineering Institutions, 2023. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modelamiento espacial de casos confirmados por COVID-19 en Chile

AU - Hamann, Nicolás

AU - Blazquez, Carola

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Chile

KW - COVID-19

KW - Pandemic

KW - spatial regression models

UR - http://www.scopus.com/inward/record.url?scp=85172394115&partnerID=8YFLogxK

M3 - Contribución a la conferencia

AN - SCOPUS:85172394115

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology

A2 - Larrondo Petrie, Maria M.

A2 - Texier, Jose

A2 - Matta, Rodolfo Andres Rivas

PB - Latin American and Caribbean Consortium of Engineering Institutions

T2 - 21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023

Y2 - 19 July 2023 through 21 July 2023

ER -

Hamann N, Blazquez C. Modelamiento espacial de casos confirmados por COVID-19 en Chile. In Larrondo Petrie MM, Texier J, Matta RAR, editors, Proceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology: Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023. Latin American and Caribbean Consortium of Engineering Institutions. 2023. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

Modelamiento espacial de casos confirmados por COVID-19 en Chile

Abstract

Publication series

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this