The role of connectivity on COVID-19 preventive approaches
| Autor: | András Tóbiás, Etienne Nzabarushimana, Nava-Trejo Je, Gonzalez-Casanova I, Gonzalez-Casanova A, Miro Pina |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
2019-20 coronavirus outbreak
Power law degree distribution Coronavirus disease 2019 (COVID-19) Population Public health interventions Virus testing Psychological intervention MEDLINE Article Pandemic Humans Random variables education Pandemics Preventive medicine education.field_of_study Vaccines Multidisciplinary Public economics Vaccination Immunity COVID-19 Communicable Disease Control Vaccination and immunization Public Health Psychology Graphs COVID 19 |
| Zdroj: | medRxiv article-version (status) pre article-version (number) 1 |
| Popis: | 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 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.Author summaryThe best strategy for public health interventions, such as lockdown or vaccination, depends on the contact structure of the population and the timing of the intervention. In general, for heterogeneous contact structures that mimic the COVID-19 spread, which is characterized by the presence of super spreaders, vaccinating the most connected individuals first was the most effective strategy to prevent infections and deaths, especially when coupled to serological tests. Models considering heterogeneity in human interactions need be used to identify the best potential vaccine prioritization strategies. |
| Databáze: | OpenAIRE |
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