About: Models of transmission of COVID-19 with time under the influence of meteorological determinants

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Models of transmission of COVID-19 with time under the influence of meteorological determinants Goto Sponge NotDistinct Permalink

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
title	Models of transmission of COVID-19 with time under the influence of meteorological determinants
Creator	Adhikari, Atin Adhikari, Rathin Ghosh, Shilpi Sen, Moon
source	MedRxiv
abstract	Based on the statistical analyses of the data on the number of confirmed COVID-19 cases and meteorological determinants in some of the severely affected cities in Spain, Italy and the USA, some models are constructed showing the relationship of I' (the number of infected individuals divided by the total population of a city) with temperature, relative humidity, wind velocity and time. Three models are based on the data before lockdown/travel restrictions in these cities, and the other three models are based on data both before and after lockdown/travel restrictions. These models, in general, indicate that the transmission of COVID-19 could be relatively high either for elevated temperatures with lower relative humidity or for lower temperatures with higher relative humidity conditions. Although one model indicates exponential increase in number of infection cases with time, the more statistically significant models show that the number of cases varies quadratically with time. We have discussed in short, how all these features could be linked with the alterations of structural characteristics of the SARS-CoV-2 virus. Finally, the possibility of natutal disappearance of COVID-19 pandemic, at the global level, has been discussed in the context of the most statistically significant model.
has issue date	2020-05-29(xsd:dateTime)
bibo:doi	10.1101/2020.05.26.20113985
has license	medrxiv
sha1sum (hex)	1143fdb9bdd944cfe92450b4f21a382fd81a6366
schema:url	https://doi.org/10.1101/2020.05.26.20113985
resource representing a document's title	Models of transmission of COVID-19 with time under the influence of meteorological determinants
resource representing a document's body	covid:1143fdb9bdd944cfe92450b4f21a382fd81a6366#body_text
is schema:about of	named entity 'linked' named entity 'relative humidity' named entity 'travel' named entity 'relative humidity' named entity 'travel' »more»

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