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  1. Article ; Online: Modeling quarantine during epidemics and mass-testing using drones.

    Sedov, Leonid / Krasnochub, Alexander / Polishchuk, Valentin

    PloS one

    2020  Volume 15, Issue 6, Page(s) e0235307

    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 ... ...

    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.
    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Disease Outbreaks ; Humans ; Models, Biological ; Pandemics ; Pneumonia, Viral/epidemiology ; Quarantine ; Remote Sensing Technology ; SARS-CoV-2 ; Sweden/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-06-24
    Publishing country United States
    Document type Journal Article
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0235307
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Modeling quarantine during epidemics by mass-testing with drones

    Leonid Sedov / Alexander Krasnochub / valentin polishchuk

    Abstract: Epidemic spread and drone technology are topics of broad research and public interest (the former heated by the current events, while the latter driven by the latest technological developments in the drone industry). We study the potential of using ... ...

    Abstract Epidemic spread and drone technology are topics of broad research and public interest (the former heated by the current events, while the latter driven by the latest technological developments in the drone industry). We study the potential of using drones to deliver tests, enabling mass-testing for the infection. We show how the testing intensity, increased with the use of drones, may "flatten the curve" by quarantining test-positive population -- for that, we extend the classical SIR epidemic spread model, introducing the "quarantined" compartment and solving (numerically) differential equations which govern the extended model.
    Keywords covid19
    Publisher medrxiv
    Document type Article ; Online
    DOI 10.1101/2020.04.15.20067025
    Database COVID19

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  3. Article ; Online: Modeling quarantine during epidemics and mass-testing using drones.

    Leonid Sedov / Alexander Krasnochub / Valentin Polishchuk

    PLoS ONE, Vol 15, Iss 6, p e

    2020  Volume 0235307

    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 ... ...

    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.
    Keywords Medicine ; R ; Science ; Q ; covid19
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Audio / Video ; Online: Snapshots of our online applet showing the curves for quite high R 0 = 5.7 [41].

    Leonid Sedov (9023303) / Alexander Krasnochub (9023306) / Valentin Polishchuk (9023309)

    2020  

    Abstract: Left: SIR curves ( Q = 0, obtained by setting D to infinity). Right: SIQR with the testing interval D = 8 (see Fig 1 for the number of different-capacity drones needed to reach D = 8). ...

    Abstract Left: SIR curves ( Q = 0, obtained by setting D to infinity). Right: SIQR with the testing interval D = 8 (see Fig 1 for the number of different-capacity drones needed to reach D = 8).
    Keywords Biotechnology ; Evolutionary Biology ; Ecology ; Cancer ; Infectious Diseases ; Biological Sciences not elsewhere classified ; Mathematical Sciences not elsewhere classified ; mass-testing ; COVID -19 spread ; peak number ; method ; drone fleet ; SIR epidemic spread model ; covid19
    Publishing date 2020-06-24T17:46:00Z
    Publishing country us
    Document type Audio / Video ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Audio / Video ; Online: The number of days D needed to collect tests from the whole city population as the function of the number N of used drones (of different capacities).

    Leonid Sedov (9023303) / Alexander Krasnochub (9023306) / Valentin Polishchuk (9023309)

    2020  

    Abstract: The number of days D needed to collect tests from the whole city population as the function of the number N of used drones (of different capacities). ...

    Abstract The number of days D needed to collect tests from the whole city population as the function of the number N of used drones (of different capacities).
    Keywords Biotechnology ; Evolutionary Biology ; Ecology ; Cancer ; Infectious Diseases ; Biological Sciences not elsewhere classified ; Mathematical Sciences not elsewhere classified ; mass-testing ; COVID -19 spread ; peak number ; method ; drone fleet ; SIR epidemic spread model ; covid19
    Publishing date 2020-06-24T17:46:00Z
    Publishing country us
    Document type Audio / Video ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Audio / Video ; Online: COVID-19 cases growth (starting from 100 cases) in Sweden [42] shown with pink crosses.

    Leonid Sedov (9023303) / Alexander Krasnochub (9023306) / Valentin Polishchuk (9023309)

    2020  

    Abstract: Top: SIR model ( S and R not shown). Bottom: Mass-testing even as rarely as every D = 30 days flattens the curve. ...

    Abstract Top: SIR model ( S and R not shown). Bottom: Mass-testing even as rarely as every D = 30 days flattens the curve.
    Keywords Biotechnology ; Evolutionary Biology ; Ecology ; Cancer ; Infectious Diseases ; Biological Sciences not elsewhere classified ; Mathematical Sciences not elsewhere classified ; mass-testing ; COVID -19 spread ; peak number ; method ; drone fleet ; SIR epidemic spread model ; covid19
    Publishing date 2020-06-24T17:46:00Z
    Publishing country us
    Document type Audio / Video ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Audio / Video ; Online: Drone routes.

    Leonid Sedov (9023303) / Alexander Krasnochub (9023306) / Valentin Polishchuk (9023309)

    2020  

    Abstract: Left: An example route of a drone with capacity 100; one of the tours in the route is shown black. Pink asterisk is the hospital. Right: A zoom in on the black tour: the orange circles depict the tests delivery/pickup locations; circle size is ... ...

    Abstract Left: An example route of a drone with capacity 100; one of the tours in the route is shown black. Pink asterisk is the hospital. Right: A zoom in on the black tour: the orange circles depict the tests delivery/pickup locations; circle size is proportional to the number of tests delivered/picked-up at the location (99 tests are delivered on this tour). The underlying heatmap is the population density. The background map was rendered on the authors’ machines from OpenStreetMap data [ 13 ] with OpenStreetMap Carto style [ 14 ] using the code available from [ 15 ].
    Keywords Biotechnology ; Evolutionary Biology ; Ecology ; Cancer ; Infectious Diseases ; Biological Sciences not elsewhere classified ; Mathematical Sciences not elsewhere classified ; mass-testing ; COVID -19 spread ; peak number ; method ; drone fleet ; SIR epidemic spread model ; covid19
    Publishing date 2020-06-24T17:46:00Z
    Publishing country us
    Document type Audio / Video ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Modeling quarantine during epidemics by mass-testing with drones

    Sedov, Leonid / Krasnochub, Alexander / polishchuk, valentin

    medRxiv

    Abstract: Epidemic spread and drone technology are topics of broad research and public interest (the former heated by the current events, while the latter driven by the latest technological developments in the drone industry). We study the potential of using ... ...

    Abstract Epidemic spread and drone technology are topics of broad research and public interest (the former heated by the current events, while the latter driven by the latest technological developments in the drone industry). We study the potential of using drones to deliver tests, enabling mass-testing for the infection. We show how the testing intensity, increased with the use of drones, may "flatten the curve" by quarantining test-positive population -- for that, we extend the classical SIR epidemic spread model, introducing the "quarantined" compartment and solving (numerically) differential equations which govern the extended model.
    Keywords covid19
    Language English
    Publishing date 2020-04-20
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.04.15.20067025
    Database COVID19

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  9. Article ; Online: Modeling quarantine during epidemics and mass-testing using drones

    Sedov, Leonid / Krasnochub, Alexander / polishchuk, valentin

    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 ... ...

    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.
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    DOI 10.1101/2020.04.15.20067025
    Database COVID19

    Kategorien

  10. Article ; Online: Modeling quarantine during epidemics and mass-testing using drones

    Sedov, Leonid / Krasnochub, Alexander / Polishchuk, Valentin

    PLOS ONE, 15(6):e0235307

    2020  

    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 ... ...

    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.
    Keywords Economics ; COVID-19 ; Infectious disease epidemiology ; Sweden ; Respiratory infections ; Urban areas ; Transportation ; Quarantines ; Differential equations ; covid19
    Language English
    Publishing country de
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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