About: Can we predict the occurrence of COVID-19 cases? Considerations using a simple model of growth

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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	Can we predict the occurrence of COVID-19 cases? Considerations using a simple model of growth
Creator	Cássaro, Fábio Pires, Luiz
Source	Elsevier; Medline; PMC
abstract	Abstract This study aimed to present a simple model to follow the evolution of the COVID-19 (CV-19) pandemic in different countries. The cumulative distribution function (CDF) and its first derivative were employed for this task. The simulations showed that it is almost impossible to predict based on the initial CV-19 cases (1st 2nd or 3rd weeks) how the pandemic will evolve. However, the results presented here revealed that this approach can be used as an alternative for the exponential growth model, traditionally employed as a prediction model, and serve as a valuable tool for investigating how protective measures are changing the evolution of the pandemic.
has issue date	2020-08-01(xsd:dateTime)
bibo:doi	10.1016/j.scitotenv.2020.138834
bibo:pmid	32334161
has license	els-covid
sha1sum (hex)	95267da7356fbae7d075d3175a96a12d876db7bf
schema:url	https://doi.org/10.1016/j.scitotenv.2020.138834
resource representing a document's title	Can we predict the occurrence of COVID-19 cases? Considerations using a simple model of growth
has PubMed Central identifier	PMC7194615
has PubMed identifier	32334161
schema:publication	Science of The Total Environment
resource representing a document's body	covid:95267da7356fbae7d075d3175a96a12d876db7bf#body_text
is schema:about of	named entity 'measures' named entity 'weeks' named entity 'COVID-19' named entity 'PRESENT' named entity 'CHANGING' named entity 'PREDICTION' named entity 'IMPOSSIBLE' named entity 'WEEKS' covid:arg/95267da7356fbae7d075d3175a96a12d876db7bf named entity 'presented' named entity 'However' named entity 'This' named entity 'serve' named entity 'cases' named entity 'simple model' named entity 'derivative' named entity 'COVID-19 cases' named entity 'evolve' named entity 'China' named entity 'Italy' named entity 'CDF' named entity 'severe acute respiratory syndrome' named entity 'virus' named entity 'correlation' named entity 'social mobility' named entity 'United States of America' named entity 'community transmission' named entity 'Italy' named entity 'epidemic' named entity 'Italian' named entity 'dashed' named entity 'coronavirus 2' named entity 'social mobility' named entity 'CDF' named entity 'mathematical function' named entity 'evolution' named entity 'standard deviations' named entity 'virus' named entity 'CDF' named entity 'China' named entity 'simple model' named entity 'China' named entity 'Austria' named entity 'dashed' named entity 'Germany' named entity 'Spain' named entity 'incubation time' named entity 'virus' named entity 'Indonesia' named entity 'cumulative distribution function' named entity 'Norway' named entity 'COVID-19' named entity 'Italy' named entity 'China' named entity 'COVID-19' named entity 'evolution' named entity 'number of new cases' named entity 'CDF' named entity 'cumulative distribution function' named entity 'simple model' named entity 'March 15' named entity 'mathematical model' named entity 'COVID-19' named entity 'extreme weather' named entity 'Zandbergen' named entity 'demographic' named entity 'social isolation' named entity 'Austria' named entity 'inflection point' named entity 'evolution' named entity 'evolution' named entity 'cumulative distribution function' named entity 'GROWTH MODEL' named entity 'SIMULATIONS' named entity 'exponential growth model' named entity 'INITIAL' named entity 'COUNTRIES' named entity 'SIMPLE' named entity 'STUDY' named entity 'TOOL'

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