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Rotation as Contagion Mitigation

Author

Listed:
  • Jeffrey Ely

    (Northwestern University, Evanston, Illinois 60208)

  • Andrea Galeotti

    (London Business School, Regent's Park, London NW1 4SA, United Kingdom)

  • Jakub Steiner

    (Cerge-Ei: Center for Economic Research and Graduate Education, 110 00 Prague, Czech Republic; University of Zurich, 8006 Zürich, Switzerland)

Abstract

To prevent the spread of an infection, an organization obeys social distancing restrictions and thus limits the number of its members physically present on a given day. We study rotation schemes in which mutually exclusive groups are active on different days. The frequency of rotation affects risk over the duration of diffusion prior to the time the organization is able to react to the infection. If this reaction time is speedy, then such risk is undesirable because prevalence is initially convex in time. In this case, frequent rotation acts as insurance against exposure-time risk and is optimal. Infrequent rotation becomes optimal if the organization reacts slowly. Cross-mixing of the rotating subpopulations is detrimental because it increases contacts between sick and healthy individuals. However, the effect of mixing is small if the terminal prevalence is low in the absence of mixing.

Suggested Citation

  • Jeffrey Ely & Andrea Galeotti & Jakub Steiner, 2021. "Rotation as Contagion Mitigation," Management Science, INFORMS, vol. 67(5), pages 3117-3126, May.
  • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:5:p:3117-3126
    DOI: 10.1287/mnsc.2020.3910
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    References listed on IDEAS

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    1. Mohammad Akbarpour & Cody Cook & Aude Marzuoli & Simon Mongey & Abhishek Nagaraj & Matteo Saccarola & Pietro Tebaldi & Shoshana Vasserman & Hanbin Yang, 2020. "Socioeconomic Network Heterogeneity and Pandemic Policy Response," NBER Working Papers 27374, National Bureau of Economic Research, Inc.
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    5. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    6. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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    Cited by:

    1. Toxvaerd, Flavio & Rowthorn, Robert, 2022. "On the management of population immunity," Journal of Economic Theory, Elsevier, vol. 204(C).
    2. Timothy Besley & Nicholas Stern, 2020. "The Economics of Lockdown," Fiscal Studies, John Wiley & Sons, vol. 41(3), pages 493-513, September.
    3. Jonas Hedlund & Allan Hernández-Chanto & Carlos Oyarzún, 2021. "Contagion Management through Information Disclosure," Discussion Papers Series 651, School of Economics, University of Queensland, Australia.
    4. Josef Jablonský & Michal Černý & Juraj Pekár, 2022. "The last dozen of years of OR research in Czechia and Slovakia," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 435-447, June.
    5. Toxvaerd, F. & Rowthorn, R., 2020. "On the Management of Population Immunity," Cambridge Working Papers in Economics 2080, Faculty of Economics, University of Cambridge.

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    More about this item

    Keywords

    industrial organization: firm objectives; organization and behavior; production-scheduling; covid-19; epidemiological risk management;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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