Ontology highlight
ABSTRACT:
SUBMITTER: Miro Pina V
PROVIDER: S-EPMC7987035 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Pina V Miró VM Nava-Trejo J J Tóbiás A A Nzabarushimana E E González-Casanova A A González-Casanova I I
medRxiv : the preprint server for health sciences 20210525
Preventive and modelling 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 th ...[more]