The network limits of infectious disease control via occupation-based targeting

Abstract Policymakers commonly employ non-pharmaceutical interventions to reduce the scale and severity of pandemics. Of non-pharmaceutical interventions, physical distancing policies—designed to reduce person-to-person pathogenic spread – have risen to recent prominence. In particular, stay-at-home...

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Autores principales:	Demetris Avraam, Nick Obradovich, Niccolò Pescetelli, Manuel Cebrian, Alex Rutherford
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d7070eac21a344919cd8c0938cf0f9db
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spelling	oai:doaj.org-article:d7070eac21a344919cd8c0938cf0f9db2021-11-28T12:20:47ZThe network limits of infectious disease control via occupation-based targeting10.1038/s41598-021-02226-x2045-2322https://doaj.org/article/d7070eac21a344919cd8c0938cf0f9db2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02226-xhttps://doaj.org/toc/2045-2322Abstract Policymakers commonly employ non-pharmaceutical interventions to reduce the scale and severity of pandemics. Of non-pharmaceutical interventions, physical distancing policies—designed to reduce person-to-person pathogenic spread – have risen to recent prominence. In particular, stay-at-home policies of the sort widely implemented around the globe in response to the COVID-19 pandemic have proven to be markedly effective at slowing pandemic growth. However, such blunt policy instruments, while effective, produce numerous unintended consequences, including potentially dramatic reductions in economic productivity. In this study, we develop methods to investigate the potential to simultaneously contain pandemic spread while also minimizing economic disruptions. We do so by incorporating both occupational and contact network information contained within an urban environment, information that is commonly excluded from typical pandemic control policy design. The results of our methods suggest that large gains in both economic productivity and pandemic control might be had by the incorporation and consideration of simple-to-measure characteristics of the occupational contact network. We find evidence that more sophisticated, and more privacy invasive, measures of this network do not drastically increase performance.Demetris AvraamNick ObradovichNiccolò PescetelliManuel CebrianAlex RutherfordNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Demetris Avraam Nick Obradovich Niccolò Pescetelli Manuel Cebrian Alex Rutherford The network limits of infectious disease control via occupation-based targeting
description	Abstract Policymakers commonly employ non-pharmaceutical interventions to reduce the scale and severity of pandemics. Of non-pharmaceutical interventions, physical distancing policies—designed to reduce person-to-person pathogenic spread – have risen to recent prominence. In particular, stay-at-home policies of the sort widely implemented around the globe in response to the COVID-19 pandemic have proven to be markedly effective at slowing pandemic growth. However, such blunt policy instruments, while effective, produce numerous unintended consequences, including potentially dramatic reductions in economic productivity. In this study, we develop methods to investigate the potential to simultaneously contain pandemic spread while also minimizing economic disruptions. We do so by incorporating both occupational and contact network information contained within an urban environment, information that is commonly excluded from typical pandemic control policy design. The results of our methods suggest that large gains in both economic productivity and pandemic control might be had by the incorporation and consideration of simple-to-measure characteristics of the occupational contact network. We find evidence that more sophisticated, and more privacy invasive, measures of this network do not drastically increase performance.
format	article
author	Demetris Avraam Nick Obradovich Niccolò Pescetelli Manuel Cebrian Alex Rutherford
author_facet	Demetris Avraam Nick Obradovich Niccolò Pescetelli Manuel Cebrian Alex Rutherford
author_sort	Demetris Avraam
title	The network limits of infectious disease control via occupation-based targeting
title_short	The network limits of infectious disease control via occupation-based targeting
title_full	The network limits of infectious disease control via occupation-based targeting
title_fullStr	The network limits of infectious disease control via occupation-based targeting
title_full_unstemmed	The network limits of infectious disease control via occupation-based targeting
title_sort	network limits of infectious disease control via occupation-based targeting
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d7070eac21a344919cd8c0938cf0f9db
work_keys_str_mv	AT demetrisavraam thenetworklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT nickobradovich thenetworklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT niccolopescetelli thenetworklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT manuelcebrian thenetworklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT alexrutherford thenetworklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT demetrisavraam networklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT nickobradovich networklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT niccolopescetelli networklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT manuelcebrian networklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting AT alexrutherford networklimitsofinfectiousdiseasecontrolviaoccupationbasedtargeting
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The network limits of infectious disease control via occupation-based targeting

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