IDEAS home Printed from https://ideas.repec.org/a/spr/lsprsc/v16y2023i1d10.1007_s12076-023-00331-1.html
   My bibliography  Save this article

Physical distancing as an integral component of pandemic response

Author

Listed:
  • Alan T. Murray

    (University of California, Santa Barbara)

  • Susan Burtner

    (University of California, Santa Barbara)

Abstract

It is well established that a variety of physical distancing measures are invaluable as part of the overall response to pandemics. COVID-19 is the most recent such pandemic, a respiratory disease transmitted through interaction, necessitating steps to minimize or eliminate the potential for exposure. Of course, this is driven by a desire to keep the economy moving, allow for social activity, continue education, support the livelihoods of individuals, etc. Regional science and supporting analytics have an important role in managing activity through the development and application of methods that enable spatial interaction that mitigates transmission. This paper details methods to plan for physical distancing at micro-scales, enabling the return of social, economic, entertainment, etc. activities. Geographic information systems combined with spatial optimization offers important spatial coronametrics for the mitigation of risk in disease transmission. Applications detailing office space occupancy and travel along with room seating are highlighted.

Suggested Citation

  • Alan T. Murray & Susan Burtner, 2023. "Physical distancing as an integral component of pandemic response," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-17, December.
    • Handle: RePEc:spr:lsprsc:v:16:y:2023:i:1:d:10.1007_s12076-023-00331-1
    DOI: 10.1007/s12076-023-00331-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12076-023-00331-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12076-023-00331-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fischetti, Martina & Fischetti, Matteo & Stoustrup, Jakob, 2023. "Safe distancing in the time of COVID-19," European Journal of Operational Research, Elsevier, vol. 304(1), pages 139-149.
    2. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2020. "COVID-19 Is Also a Reallocation Shock," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 329-383.
    3. Niblett, Matthew R. & Church, Richard L., 2015. "The disruptive anti-covering location problem," European Journal of Operational Research, Elsevier, vol. 247(3), pages 764-773.
    4. Alan T Murray, 2020. "Planning for classroom physical distancing to minimize the threat of COVID-19 disease spread," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-15, December.
    5. Alan T. Murray, 2021. "Significance Assessment in the Application of Spatial Analytics," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 111(6), pages 1740-1755, September.
    6. Konstantinos Christopoulos & Konstantinos Eleftheriou & Peter Nijkamp, 2022. "The role of pre-pandemic teleworking and E-commerce culture in the COVID-19 dispersion in Europe," Letters in Spatial and Resource Sciences, Springer, vol. 15(1), pages 1-16, April.
    7. Alan Murray & Hyun Kim, 2008. "Efficient identification of geographic restriction conditions in anti-covering location models using GIS," Letters in Spatial and Resource Sciences, Springer, vol. 1(2), pages 159-169, December.
    8. Alan Murray, 2010. "Advances in location modeling: GIS linkages and contributions," Journal of Geographical Systems, Springer, vol. 12(3), pages 335-354, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alan T. Murray & Ran Wei & Richard L. Church & Matthew R. Niblett, 2019. "Addressing risks and uncertainty in forest land use modeling," Journal of Geographical Systems, Springer, vol. 21(3), pages 319-338, September.
    2. Charles A.E. Goodhart & Dimitrios P. Tsomocos & Xuan Wang, 2023. "Support for small businesses amid COVID‐19," Economica, London School of Economics and Political Science, vol. 90(358), pages 612-652, April.
    3. Miescu, Mirela & Rossi, Raffaele, 2021. "COVID-19-induced shocks and uncertainty," European Economic Review, Elsevier, vol. 139(C).
    4. Basso, Gaetano & Boeri, Tito & Caiumi, Alessandro & Paccagnella, Marco, 2020. "The New Hazardous Jobs and Worker Reallocation," IZA Discussion Papers 13532, Institute of Labor Economics (IZA).
    5. Carlos Madeira, 2022. "The double impact of deep social unrest and a pandemic: Evidence from Chile," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 135-171, February.
    6. Pedro V. Amaral & Alan T. Murray, 2016. "Equity in regional access to renal dialysis in Brazil," Regional Science Policy & Practice, Wiley Blackwell, vol. 8(1-2), pages 27-44, March.
    7. Filippos Petroulakis, 2023. "Task Content and Job Losses in the Great Lockdown," ILR Review, Cornell University, ILR School, vol. 76(3), pages 586-613, May.
    8. Chodorow-Reich, Gabriel & Coglianese, John, 2021. "Projecting unemployment durations: A factor-flows simulation approach with application to the COVID-19 recession," Journal of Public Economics, Elsevier, vol. 197(C).
    9. Mauro Bambi & Daria Ghilli & Fausto Gozzi & Marta Leocata, 2021. "Habits and demand changes after COVID-19," Papers 2107.00909, arXiv.org, revised Mar 2022.
    10. Altig, Dave & Baker, Scott & Barrero, Jose Maria & Bloom, Nicholas & Bunn, Philip & Chen, Scarlet & Davis, Steven J. & Leather, Julia & Meyer, Brent & Mihaylov, Emil & Mizen, Paul & Parker, Nicholas &, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    11. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    12. Gene Amromin & Jane K. Dokko & Karen E. Dynan, 2020. "Helping Homeowners During the Covid-19 Pandemic: Lessons from the Great Recession," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 443, June.
    13. Blanas, Sotiris & Oikonomou, Rigas, 2023. "COVID-induced economic uncertainty, tasks and occupational demand," Labour Economics, Elsevier, vol. 81(C).
    14. Bellatin, Alejandra & Galassi, Gabriela, 2022. "What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada," IZA Discussion Papers 15209, Institute of Labor Economics (IZA).
    15. Hansen, Stephen & Lambert, Peter John & Bloom, Nicholas & Davis, Steven J. & Sadun, Raffaella & Taska, Bledi, 2023. "Remote Work across Jobs, Companies, and Space," IZA Discussion Papers 15980, Institute of Labor Economics (IZA).
    16. Alejandro Fernández-Cerezo & Beatriz Gonzalez & Mario Izquierdo Peinado & Enrique Moral-Benito, 2023. "Firm-level heterogeneity in the impact of the COVID-19 pandemic," Applied Economics, Taylor & Francis Journals, vol. 55(42), pages 4946-4974, September.
    17. Kudlyak, Marianna & Faia, Ester & Shabalina, Ekaterina, 2021. "Dynamic Labor Reallocation with Heterogeneous Skills and Uninsured Idiosyncratic Risk," CEPR Discussion Papers 16008, C.E.P.R. Discussion Papers.
    18. Jialu Shi & Xuan Wang & Fuyi Ci & Kai Liu, 2022. "Spatiotemporal Characteristics and Patterns of the COVID-19 Pandemic in China: An Empirical Study Based on 413 Cities or Regions," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    19. Xiaobing Shuai & Christine Chmura & James Stinchcomb, 2021. "COVID-19, labor demand, and government responses: evidence from job posting data," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(1), pages 29-42, January.
    20. Liang, Shangkun & Niu, Yuhao & Yang, Dan & Liu, Xuejuan, 2023. "Dividend payouts under a societal crisis: Financial constraints or signaling?," International Review of Financial Analysis, Elsevier, vol. 88(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lsprsc:v:16:y:2023:i:1:d:10.1007_s12076-023-00331-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.