Modeling quarantine during epidemics and mass-testing using drones.

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  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
      Disease Outbreaks* ; Models, Biological* ; Quarantine* ; Remote Sensing Technology*; Coronavirus Infections/*epidemiology ; Pneumonia, Viral/*epidemiology; Betacoronavirus ; COVID-19 ; Humans ; Pandemics ; SARS-CoV-2 ; Sweden/epidemiology
    • Abstract:
      We extend the classical SIR epidemic spread model by introducing the "quarantined" compartment. We solve (numerically) the differential equations that govern the extended model and quantify how quarantining "flattens the curve" for the proportion of infected population over time. Furthermore, we explore the potential of using drones to deliver tests, enabling mass-testing for the infection; we give a method to estimate the drone fleet needed to deliver the tests in a metropolitan area. Application of our models to COVID-19 spread in Sweden shows how the proposed methods could substantially decrease the peak number of infected people, almost without increasing the duration of the epidemic.
      Competing Interests: The authors have declared that no competing interests exist.
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    • Publication Date:
      Date Created: 20200625 Date Completed: 20200701 Latest Revision: 20201218
    • Publication Date:
      20240105
    • Accession Number:
      PMC7314055
    • Accession Number:
      10.1371/journal.pone.0235307
    • Accession Number:
      32579590