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A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations

Contreras, Sebastián and Villavicencio, H. Andrés and Medina-Ortiz, David and Biron-Lattes, Juan Pablo and Olivera-Nappa, Álvaro (2020) A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations. Chaos, Solitons, and Fractals, 136 . Art. No. 109925. ISSN 0960-0779. PMCID PMC7247502. https://resolver.caltech.edu/CaltechAUTHORS:20200608-115356852

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Abstract

The outbreak and propagation of COVID-19 have posed a considerable challenge to modern society. In particular, the different restrictive actions taken by governments to prevent the spread of the virus have changed the way humans interact and conceive interaction. Due to geographical, behavioral, or economic factors, different sub-groups among a population are more (or less) likely to interact, and thus to spread/acquire the virus. In this work, we present a general multi-group SEIRA model for representing the spread of COVID-19 among a heterogeneous population and test it in a numerical case of study. By highlighting its applicability and the ease with which its general formulation can be adapted to particular studies, we expect our model to lead us to a better understanding of the evolution of this pandemic and to better public-health policies to control it.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.chaos.2020.109925DOIArticle
http://www.ncbi.nlm.nih.gov/pmc/articles/pmc7247502/PubMed CentralArticle
https://arxiv.org/abs/2004.13452arXivDiscussion Paper
ORCID:
AuthorORCID
Contreras, Sebastián0000-0001-8909-774X
Medina-Ortiz, David0000-0002-8369-5746
Olivera-Nappa, Álvaro0000-0001-6053-7019
Additional Information:© 2020 Elsevier Ltd. Received 23 April 2020, Accepted 20 May 2020, Available online 25 May 2020. The authors gratefully acknowledge support from the Chilean National Agency for Research and development through ANID PIA Grant AFB180004, and the Centre for Biotechnology and Bioengineering - CeBiB (PIA project FB0001, Conicyt, Chile). DM-O gratefully acknowledges Conicyt, Chile, for PhD fellowship 21181435. CRediT authorship contribution statement - Sebastián Contreras: Conceptualization, Methodology, Investigation, Writing - original draft, Writing - review & editing, Supervision. H. Andrés Villavicencio: Methodology, Validation, Investigation, Writing - original draft, Writing - review & editing. David Medina-Ortiz: Validation, Investigation, Writing - original draft, Writing - review & editing. Juan Pablo Biron-Lattes: Validation, Writing - original draft, Writing - review & editing. Álvaro Olivera-Nappa: Validation, Writing - original draft, Writing - review & editing, Supervision, Project administration, Funding acquisition. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Funders:
Funding AgencyGrant Number
Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)AFB180004
Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)FB0001
Comisión Nacional de Investigación Científica y Tecnológica (CONICYT)21181435
Subject Keywords:COVID-19 pandemic; SARS-CoV2; Multigroup model; Public-health; SEIRA models
PubMed Central ID:PMC7247502
Record Number:CaltechAUTHORS:20200608-115356852
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200608-115356852
Official Citation:Sebastián Contreras, H. Andrés Villavicencio, David Medina-Ortiz, Juan Pablo Biron-Lattes, Álvaro Olivera-Nappa, A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations, Chaos, Solitons & Fractals, Volume 136, 2020, 109925, ISSN 0960-0779, https://doi.org/10.1016/j.chaos.2020.109925.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:103773
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:08 Jun 2020 21:55
Last Modified:10 Jun 2020 16:15

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