Miró Pina, VerónicaNava-Trejo, JulioTóbiás, AndrasNzabarushimana, EtienneGonzález-Casanova, AdriánGonzález-Casanova, Inés2022-11-082022-11-082022Miró Pina V, Nava-Trejo J, Tóbiás A, Nzabarushimana E, González-Casanova A, González-Casanova I. The role of connectivity on COVID-19 preventive approaches. PLoS One. 2022 Sep 1;17(9):e0273906. DOI: 10.1371/journal.pone.02739061932-6203http://hdl.handle.net/10230/54742Preventive 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 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.application/pdfeng© 2022 Miró Pina et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1371/journal.pone.0273906Vaccination and immunizationGraphsCOVID 19VaccinesImmunityPreventive medicineRandom variablesVirus testinginfo:eu-repo/semantics/openAccess