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The role of connectivity on COVID-19 preventive approaches.
Miró Pina, Verónica; Nava-Trejo, Julio; Tóbiás, Andras; Nzabarushimana, Etienne; González-Casanova, Adrián; González-Casanova, Inés.
  • Miró Pina V; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Nava-Trejo J; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Tóbiás A; National Autonomous University of Mexico (UNAM), Mexico, Mexico.
  • Nzabarushimana E; National Autonomous University of Mexico (UNAM), Mexico, Mexico.
  • González-Casanova A; Technische Universität Berlin, Berlin, Germany.
  • González-Casanova I; Indiana University Bloomington, Bloomington, Indiana, United States of America.
PLoS One ; 17(9): e0273906, 2022.
Article in English | MEDLINE | ID: covidwho-2009710
ABSTRACT
Preventive and modeling approaches to address the COVID-19 pandemic have been primarily based on the age or occupation, and often disregard the importance of heterogeneity in population contact structure and individual connectivity. To address this gap, we developed models based on Erdos-Rényi and a power law degree distribution that first incorporate the role of heterogeneity and connectivity and then can be expanded to make assumptions about demographic characteristics. Results demonstrate that variations in the number of connections of individuals within a population modify the impact of public health interventions such as lockdown or vaccination approaches. We conclude that the most effective strategy will vary depending on the underlying contact structure of individuals within a population and on timing of the interventions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Topics: Vaccines Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0273906

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Topics: Vaccines Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0273906