Literature DB >> 33906950

Interacting regional policies in containing a disease.

Arun G Chandrasekhar1,2,3, Paul Goldsmith-Pinkham4, Matthew O Jackson5,6, Samuel Thau7.   

Abstract

Regional quarantine policies, in which a portion of a population surrounding infections is locked down, are an important tool to contain disease. However, jurisdictional governments-such as cities, counties, states, and countries-act with minimal coordination across borders. We show that a regional quarantine policy's effectiveness depends on whether 1) the network of interactions satisfies a growth balance condition, 2) infections have a short delay in detection, and 3) the government has control over and knowledge of the necessary parts of the network (no leakage of behaviors). As these conditions generally fail to be satisfied, especially when interactions cross borders, we show that substantial improvements are possible if governments are outward looking and proactive: triggering quarantines in reaction to neighbors' infection rates, in some cases even before infections are detected internally. We also show that even a few lax governments-those that wait for nontrivial internal infection rates before quarantining-impose substantial costs on the whole system. Our results illustrate the importance of understanding contagion across policy borders and offer a starting point in designing proactive policies for decentralized jurisdictions.

Entities:  

Keywords:  contagion; coordination; lockdown; network; quarantine

Mesh:

Year:  2021        PMID: 33906950      PMCID: PMC8126865          DOI: 10.1073/pnas.2021520118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  26 in total

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2.  Collective dynamics of 'small-world' networks.

Authors:  D J Watts; S H Strogatz
Journal:  Nature       Date:  1998-06-04       Impact factor: 49.962

3.  Ebola and quarantine.

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4.  Covid-19 - The Law and Limits of Quarantine.

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Journal:  N Engl J Med       Date:  2020-03-18       Impact factor: 91.245

5.  Reconstruction of the full transmission dynamics of COVID-19 in Wuhan.

Authors:  Xingjie Hao; Shanshan Cheng; Degang Wu; Tangchun Wu; Xihong Lin; Chaolong Wang
Journal:  Nature       Date:  2020-07-16       Impact factor: 49.962

6.  Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe.

Authors:  Seth Flaxman; Swapnil Mishra; Axel Gandy; H Juliette T Unwin; Thomas A Mellan; Helen Coupland; Charles Whittaker; Harrison Zhu; Tresnia Berah; Jeffrey W Eaton; Mélodie Monod; Azra C Ghani; Christl A Donnelly; Steven Riley; Michaela A C Vollmer; Neil M Ferguson; Lucy C Okell; Samir Bhatt
Journal:  Nature       Date:  2020-06-08       Impact factor: 49.962

7.  How many people do you know?: Efficiently estimating personal network size.

Authors:  Tyler H McCormick; Matthew J Salganik; Tian Zheng
Journal:  J Am Stat Assoc       Date:  2010-03-01       Impact factor: 5.033

8.  Transmission of influenza: implications for control in health care settings.

Authors:  Carolyn Buxton Bridges; Matthew J Kuehnert; Caroline B Hall
Journal:  Clin Infect Dis       Date:  2003-09-19       Impact factor: 9.079

9.  Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).

Authors:  Ruiyun Li; Sen Pei; Bin Chen; Yimeng Song; Tao Zhang; Wan Yang; Jeffrey Shaman
Journal:  Science       Date:  2020-03-16       Impact factor: 47.728

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

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2.  Urban Flight Seeded the COVID-19 Pandemic Across the United States.

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  2 in total

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