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Individually optimal choices can be collectively disastrous in COVID-19 disease control.
Stoddard, Madison; Van Egeren, Debra; Johnson, Kaitlyn E; Rao, Smriti; Furgeson, Josh; White, Douglas E; Nolan, Ryan P; Hochberg, Natasha; Chakravarty, Arijit.
  • Stoddard M; Fractal Therapeutics, Cambridge, MA, USA.
  • Van Egeren D; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Johnson KE; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Rao S; Stem Cell Program, Boston Children's Hospital, Boston, MA, USA.
  • Furgeson J; Department of Biomedical Engineering, University of Texas, Austin, TX, USA.
  • White DE; Department of Economics, Assumption College, Worcester, MA, USA.
  • Nolan RP; International Initiative for Impact Evaluation, Cambridge, MA, USA.
  • Hochberg N; Georgia Institute of Technology, Atlanta, GA, USA.
  • Chakravarty A; Halozyme Therapeutics, San Diego, CA, USA.
BMC Public Health ; 21(1): 832, 2021 04 30.
Article in English | MEDLINE | ID: covidwho-1209367
ABSTRACT

BACKGROUND:

The word 'pandemic' conjures dystopian images of bodies stacked in the streets and societies on the brink of collapse. Despite this frightening picture, denialism and noncompliance with public health measures are common in the historical record, for example during the 1918 Influenza pandemic or the 2015 Ebola epidemic. The unique characteristics of SARS-CoV-2-its high basic reproduction number (R0), time-limited natural immunity and considerable potential for asymptomatic spread-exacerbate the public health repercussions of noncompliance with interventions (such as vaccines and masks) to limit disease transmission. Our work explores the rationality and impact of noncompliance with measures aimed at limiting the spread of SARS-CoV-2.

METHODS:

In this work, we used game theory to explore when noncompliance confers a perceived benefit to individuals. We then used epidemiological modeling to predict the impact of noncompliance on control of SARS-CoV-2, demonstrating that the presence of a noncompliant subpopulation prevents suppression of disease spread.

RESULTS:

Our modeling demonstrates that noncompliance is a Nash equilibrium under a broad set of conditions and that the existence of a noncompliant population can result in extensive endemic disease in the long-term after a return to pre-pandemic social and economic activity. Endemic disease poses a threat for both compliant and noncompliant individuals; all community members are protected if complete suppression is achieved, which is only possible with a high degree of compliance. For interventions that are highly effective at preventing disease spread, however, the consequences of noncompliance are borne disproportionately by noncompliant individuals.

CONCLUSIONS:

In sum, our work demonstrates the limits of free-market approaches to compliance with disease control measures during a pandemic. The act of noncompliance with disease intervention measures creates a negative externality, rendering suppression of SARS-CoV-2 spread ineffective. Our work underscores the importance of developing effective strategies for prophylaxis through public health measures aimed at complete suppression and the need to focus on compliance at a population level.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2021 Document Type: Article Affiliation country: S12889-021-10829-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Influenza, Human / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2021 Document Type: Article Affiliation country: S12889-021-10829-2