Targeted adaptive isolation strategy for COVID-19 pandemic
Zoltán Neufeld, Hamid Khataee, András Czirók
Abstract
We investigate the effects of social distancing in controlling the impact of the COVID-19 epidemic using a simple susceptible-infected-removed epidemic model. We show that an alternative or complementary approach based on targeted isolation of the vulnerable sub-population may provide a more efficient and robust strategy at a lower economic and social cost within a shorter timeframe resulting in a collectively immune population.
Topics & Concepts
Social distanceCoronavirus disease 2019 (COVID-19)PandemicIsolation (microbiology)Social isolation2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PopulationEpidemic modelVirologyComputer scienceGeographyBiologyEnvironmental healthMedicineInfectious disease (medical specialty)BioinformaticsOutbreakPsychiatryPathologyDiseaseCOVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 ResearchMathematical and Theoretical Epidemiology and Ecology Models