Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model

The perception of risk has been a key element in the experiences, containment and differential impact of the COVID-19 pandemic worldwide. The complexity of this phenomenon requires the interdisciplinary integration of theoretical and methodological aspects, as this integration informs the objective...

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Autores principales:	Alfonso Gastelum-Strozzi, Claudia Infante-Castañeda, Juan Guillermo Figueroa-Perea, Ingris Peláez-Ballestas
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	risk perception heterogeneity students COVID-19 Mexico Medicine R
Acceso en línea:	https://doaj.org/article/c517694ff3cd4ee2b61e0e7f20f1f9a1
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spelling	oai:doaj.org-article:c517694ff3cd4ee2b61e0e7f20f1f9a12021-11-11T16:10:03ZHeterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model10.3390/ijerph1821110071660-46011661-7827https://doaj.org/article/c517694ff3cd4ee2b61e0e7f20f1f9a12021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11007https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601The perception of risk has been a key element in the experiences, containment and differential impact of the COVID-19 pandemic worldwide. The complexity of this phenomenon requires the interdisciplinary integration of theoretical and methodological aspects, as this integration informs the objective of developing a mathematical proposal based on a conceptual model located within the social theory of risk at the micro-social level. The mathematical risk model used here was developed from a secondary analysis of a study of 12,649 individuals on the experiences of the COVID-19 pandemic in a population in which the quantity and quality of the information made it possible to define a risk factor and its relationship to emotions and the sources of information used. Four sequential strategies were used to construct the model: choosing the variables for the questionnaire that theoretically corresponded to the conceptual model, constructing the risk vector and initial grouping of individuals by perception of risk, modeling by using principal component analysis and applying network methods. The theoretical model of risk, proposed and constructed through the analysis of groupings by quartiles and by networks in the studied population from a social and mathematical perspective, demonstrates the heterogeneity of risk perception as manifested by differences in perception by age, gender, expression of feelings and media consulted in a university community. The knowledge and methodology generated in these analyses contribute to the body of knowledge informing the response to future epidemiological contingencies.Alfonso Gastelum-StrozziClaudia Infante-CastañedaJuan Guillermo Figueroa-PereaIngris Peláez-BallestasMDPI AGarticlerisk perceptionheterogeneitystudentsCOVID-19MexicoMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11007, p 11007 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	risk perception heterogeneity students COVID-19 Mexico Medicine R
spellingShingle	risk perception heterogeneity students COVID-19 Mexico Medicine R Alfonso Gastelum-Strozzi Claudia Infante-Castañeda Juan Guillermo Figueroa-Perea Ingris Peláez-Ballestas Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model
description	The perception of risk has been a key element in the experiences, containment and differential impact of the COVID-19 pandemic worldwide. The complexity of this phenomenon requires the interdisciplinary integration of theoretical and methodological aspects, as this integration informs the objective of developing a mathematical proposal based on a conceptual model located within the social theory of risk at the micro-social level. The mathematical risk model used here was developed from a secondary analysis of a study of 12,649 individuals on the experiences of the COVID-19 pandemic in a population in which the quantity and quality of the information made it possible to define a risk factor and its relationship to emotions and the sources of information used. Four sequential strategies were used to construct the model: choosing the variables for the questionnaire that theoretically corresponded to the conceptual model, constructing the risk vector and initial grouping of individuals by perception of risk, modeling by using principal component analysis and applying network methods. The theoretical model of risk, proposed and constructed through the analysis of groupings by quartiles and by networks in the studied population from a social and mathematical perspective, demonstrates the heterogeneity of risk perception as manifested by differences in perception by age, gender, expression of feelings and media consulted in a university community. The knowledge and methodology generated in these analyses contribute to the body of knowledge informing the response to future epidemiological contingencies.
format	article
author	Alfonso Gastelum-Strozzi Claudia Infante-Castañeda Juan Guillermo Figueroa-Perea Ingris Peláez-Ballestas
author_facet	Alfonso Gastelum-Strozzi Claudia Infante-Castañeda Juan Guillermo Figueroa-Perea Ingris Peláez-Ballestas
author_sort	Alfonso Gastelum-Strozzi
title	Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model
title_short	Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model
title_full	Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model
title_fullStr	Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model
title_full_unstemmed	Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model
title_sort	heterogeneity of covid-19 risk perception: a socio-mathematical model
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c517694ff3cd4ee2b61e0e7f20f1f9a1
work_keys_str_mv	AT alfonsogastelumstrozzi heterogeneityofcovid19riskperceptionasociomathematicalmodel AT claudiainfantecastaneda heterogeneityofcovid19riskperceptionasociomathematicalmodel AT juanguillermofigueroaperea heterogeneityofcovid19riskperceptionasociomathematicalmodel AT ingrispelaezballestas heterogeneityofcovid19riskperceptionasociomathematicalmodel
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Heterogeneity of COVID-19 Risk Perception: A Socio-Mathematical Model

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