Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
Can a herd immunity strategy become a viable option against COVID-19? A model-based analysis on social acceptability and feasibility
Goto
Sponge
NotDistinct
Permalink
An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Can a herd immunity strategy become a viable option against COVID-19? A model-based analysis on social acceptability and feasibility
Creator
Akamatsu, Takashi
Mizutani, Daijiro
Nagae, Takeshi
Osawa, Minoru
Sakai, Takara
»more»
source
MedRxiv
abstract
This paper studies the social acceptability and feasibility of %22herd immunity%22 strategies against coronavirus disease 2019 (COVID-19). To this end, we propose a control scheme that aims to develop herd immunity while satisfying the following two basic requirements for a viable policy option. The first requirement is social acceptability: the overall deaths should be minimized for social acceptance. The second is feasibility: the healthcare system should not be overwhelmed to avoid diverse adverse effects. Exploiting the fact that the severity of the disease increases considerably with age, the proposed control scheme protects high-risk individuals that mainly consist of the elderly. The protection of high-risk individuals reduces the average severity of the disease in the unprotected population, thereby substantially reducing mortality and avoiding the collapse of the healthcare system. Social acceptability (in terms of the resulting mortality) and feasibility (in terms of the healthcare system capacity) of the proposed herd immunity strategy are summarized into two respective, easily computable conditions by building on a simple susceptible--infected--recovered (SIR) model. For its parsimony, the proposed framework can provide a rule of thumb that applies to various populations for studying the viability of herd immunity strategies against COVID-19. For Japan, herd immunity may be developed by the considered control scheme if R0 [≤] 2.0 and the severity rates of the disease are 1/10 times smaller than the previously reported value, although as high mortality as seasonal influenza is expected.
has issue date
2020-05-25
(
xsd:dateTime
)
bibo:doi
10.1101/2020.05.19.20107524
has license
medrxiv
sha1sum (hex)
33f4bf0e36badf5ec87786c07754ee47769e05b1
schema:url
https://doi.org/10.1101/2020.05.19.20107524
resource representing a document's title
Can a herd immunity strategy become a viable option against COVID-19? A model-based analysis on social acceptability and feasibility
resource representing a document's body
covid:33f4bf0e36badf5ec87786c07754ee47769e05b1#body_text
is
schema:about
of
named entity 'basic'
named entity 'high'
named entity 'populations'
named entity 'elderly'
named entity 'scheme'
»more»
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 5
Go
Faceted Search & Find service v1.13.91 as of Mar 24 2020
Alternative Linked Data Documents:
Sponger
|
ODE
Content Formats:
RDF
ODATA
Microdata
About
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software