About: Modelling COVID-19 using the Fundamentals of Fluid Dynamics

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Modelling COVID-19 using the Fundamentals of Fluid Dynamics
Creator	Kwame Osei-Bonsu, Peter Osei-Bonsu, Kofi Rabbani, Harris Seers, Thomas
source	MedRxiv
abstract	As of 21st May 2020, there have been 4.89M confirmed cases worldwide and over 323,000 deaths of people who have tested positive for SARS-CoV-2. The outbreak of COVID-19, has not only caused widespread morbidity and mortality, but has also led to a catastrophic breakdown in the global economy and unprecedented social disruption. To lessen the global health consequences of COVID-19, sweeping COVID-19 lockdown and quarantine measures have been imposed within many nations. These measures have significantly impacted the world's economy and in many cases has led to the loss of livelihood. Mathematical modeling of pandemics is of critical importance to understand the unfolding of transmission events and to formulate control measures. In this research letter, we have introduced a novel approach to forecasting epidemics like COVID-19. The proposed mathematical model stems from the fundamental principles of fluid dynamics, and can be utilized to make projections of the number of infected people. This unique mathematical model can be beneficial for predicting and designing potential strategies to mitigate the spread and impact of pandemics.
has issue date	2020-06-25(xsd:dateTime)
bibo:doi	10.1101/2020.06.24.20139071
has license	medrxiv
sha1sum (hex)	e3df2e8ce117c705c491f00fb7ede5d87de5ea03
schema:url	https://doi.org/10.1101/2020.06.24.20139071
resource representing a document's title	Modelling COVID-19 using the Fundamentals of Fluid Dynamics
resource representing a document's body	covid:e3df2e8ce117c705c491f00fb7ede5d87de5ea03#body_text
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