Ontology highlight
ABSTRACT:
SUBMITTER: Miro Pina V
PROVIDER: S-EPMC9436065 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Miró Pina Verónica V Nava-Trejo Julio J Tóbiás Andras A Nzabarushimana Etienne E González-Casanova Adrián A González-Casanova Inés I
PloS one 20220901 9
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 Erdős-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 tha ...[more]