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1000 Titel
  • Modeling quarantine during epidemics and mass-testing using drones
1000 Autor/in
  1. Sedov, Leonid |
  2. Krasnochub, Alexander |
  3. Polishchuk, Valentin |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-06-24
1000 Erschienen in
1000 Quellenangabe
  • 15(6):e0235307
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0235307 |
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1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Economics
gnd 1206347392 COVID-19
lokal Infectious disease epidemiology
lokal Sweden
lokal Respiratory infections
lokal Urban areas
lokal Transportation
lokal Quarantines
lokal Differential equations
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  1. https://frl.publisso.de/adhoc/uri/U2Vkb3YsIExlb25pZA==|https://frl.publisso.de/adhoc/uri/S3Jhc25vY2h1YiwgQWxleGFuZGVy|https://frl.publisso.de/adhoc/uri/UG9saXNoY2h1aywgVmFsZW50aW4=
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  1. Modeling quarantine during epidemics and mass-testing using drones
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1000 Erstellt am 2020-06-29T14:53:42.147+0200
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