About: Intervention Serology and Interaction Substitution: Modeling the Role of ‘Shield Immunity’ in Reducing COVID-19 Epidemic Spread

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About: Intervention Serology and Interaction Substitution: Modeling the Role of ‘Shield Immunity’ in Reducing COVID-19 Epidemic Spread Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Intervention Serology and Interaction Substitution: Modeling the Role of ‘Shield Immunity’ in Reducing COVID-19 Epidemic Spread
Creator	Dushoff, Jonathan Park, Sang Weitz, Joshua Beckett, Stephen Coenen, Ashley Demory, David Dominguez-Mirazo, Marian Leung, Chung-Yin Li, Guanlin Mȃgȃlie, Andreea Rodriguez-Gonzalez, Rogelio Shivam, Shashwat Zhao, Conan
source	MedRxiv; Medline; PMC
abstract	The COVID-19 pandemic has precipitated a global crisis, with more than 690,000 confirmed cases and more than 33,000 confirmed deaths globally as of March 30, 2020 [1–4]. At present twOfficentral public health control strategies have emerged: mitigation and suppression (e.g, [5]). Both strategies focus on reducing new infections by reducing interactions (and both raise questions of sustainability and long-term tactics). Complementary to those approaches, here we develop and analyze an epidemiological intervention model that leverages serological tests [6, 7] to identify and deploy recovered individuals as focal points for sustaining safer interactions via interaction substitution, i.e., to develop what we term ‘shield immunity’ at the population scale. Recovered individuals, in the present context, represent those who have developed protective, antibodies to SARS-CoV-2 and are no longer shedding virus [8]. The objective of a shield immunity strategy is to help sustain the interactions necessary for the functioning of essential goods and services (including but not limited to tending to the elderly [9], hospital care, schools, and food supply) while decreasing the probability of transmission during such essential interactions. We show that a shield immunity approach may significantly reduce the length and reduce the overall burden of an outbreak, and can work synergistically with social distancing. The present model highlights the value of serological testing as part of intervention strategies, in addition to its well recognized roles in estimating prevalence [10, 11] and in the potential development of plasma-based therapies [12–15].
has issue date	2020-04-03(xsd:dateTime)
bibo:doi	10.1101/2020.04.01.20049767
bibo:pmid	32511605
has license	cc-by
sha1sum (hex)	7ac4a5e3d4c5daad3cc6179e5f884234c044b03f
schema:url	https://doi.org/10.1101/2020.04.01.20049767
resource representing a document's title	Intervention Serology and Interaction Substitution: Modeling the Role of ‘Shield Immunity’ in Reducing COVID-19 Epidemic Spread
has PubMed Central identifier	PMC7276032
has PubMed identifier	32511605
schema:publication	medRxiv
resource representing a document's body	covid:7ac4a5e3d4c5daad3cc6179e5f884234c044b03f#body_text
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