About: Containment effort reduction and regrowth patterns of the Covid-19 spreading

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Containment effort reduction and regrowth patterns of the Covid-19 spreading
Creator	Cacopardo, B Carco' (d), D Castorina, P Ceccarelli, M Lanteri, D
topic	covid:c71efee3eeea566a6b197426405efd58f2e654a9#this
Source	ArXiv
abstract	In all Countries the political decisions aim at the Covid-19 spreading reduction and at reaching an almost stable configuration of coexistence with the disease, where a small number of new infected individuals per day is sustainable. In such a phase, the containment effort will be reduced in favor of a gradual reopening of the social life and of the various economical sectors and the evaluation of the possible infection regrowth should be very useful. Microscopic models, which take into account the details of the new social and economical conditions, would require a complex dynamics of the stakeholders. We discuss a less detailed approach which, on the basis of the collected data after few days from the beginning of the new phase, outlines different scenarios of the Covid-19 diffusion for longer time. The method applies a time dependent carrying capacity, analogously to many macroscopic growth laws in biology, economics and population dynamics. The illustrative cases of Singapore, Italy and Sicily are analyzed.
has issue date	2020-04-30(xsd:dateTime)
has license	arxiv
sha1sum (hex)	c71efee3eeea566a6b197426405efd58f2e654a9
resource representing a document's title	Containment effort reduction and regrowth patterns of the Covid-19 spreading
resource representing a document's body	covid:c71efee3eeea566a6b197426405efd58f2e654a9#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/c71efee3eeea566a6b197426405efd58f2e654a9
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