About: SEIR and Regression Model based COVID-19 outbreak predictions in India

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	SEIR and Regression Model based COVID-19 outbreak predictions in India
Creator	Gupta, Rajan Pal, Saibal Chaudhary, Poonam Pandey, Gaurav
Source	MedRxiv
abstract	COVID-19 pandemic has become a major threat to the country. Till date, well tested medication or antidote is not available to cure this disease. According to WHO reports, COVID-19 is a severe acute respiratory syndrome which is transmitted through respiratory droplets and contact routes. Analysis of this disease requires major attention by the Government to take necessary steps in reducing the effect of this global pandemic. In this study, outbreak of this disease has been analysed for India till 30th March 2020 and predictions have been made for the number of cases for the next 2 weeks. SEIR model and Regression model have been used for predictions based on the data collected from John Hopkins University repository in the time period of 30th January 2020 to 30th March 2020. The performance of the models was evaluated using RMSLE and achieved 1.52 for SEIR model and 1.75 for the regression model. The RMSLE error rate between SEIR model and Regression model was found to be 2.01. Also, the value of R0 which is the spread of the disease was calculated to be 2.02. Expected cases may rise between 5000-6000 in the next two weeks of time. This study will help the Government and doctors in preparing their plans for the next two weeks. Based on the predictions for short-term interval, these models can be tuned for forecasting in long-term intervals.
has issue date	2020-04-03(xsd:dateTime)
bibo:doi	10.1101/2020.04.01.20049825
has license	medrxiv
sha1sum (hex)	b2668487afe5796f5a35f8c5f8c49827dc87c2bd
schema:url	https://doi.org/10.1101/2020.04.01.20049825
resource representing a document's title	SEIR and Regression Model based COVID-19 outbreak predictions in India
resource representing a document's body	covid:b2668487afe5796f5a35f8c5f8c49827dc87c2bd#body_text
is schema:about of	named entity 'regression model' named entity 'HELP' named entity 'EVALUATED' named entity 'DATA COLLECTED' named entity 'TIME' named entity 'REGRESSION MODEL' named entity 'COVID-19' named entity 'PREDICTIONS' named entity 'SHORT-TERM' named entity 'STEPS' named entity 'REPOSITORY' named entity 'MAJOR' named entity 'ATTENTION' named entity 'NECESSARY' named entity 'ROUTES' named entity 'EFFECT' named entity 'A MAJOR' named entity 'MEDICATION' named entity 'SPREAD' named entity 'RATE' named entity 'REPORTS' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME' named entity 'TWO WEEKS' named entity 'GOVERNMENT' named entity 'THREAT' named entity 'ANALYSIS' named entity '5000' named entity 'DISEASE' named entity 'DOCTORS' named entity 'BASED' named entity 'OUTBREAK' named entity 'INDIA' named entity 'FORECASTING' named entity 'HOPKINS' named entity '1.75' named entity '6000' named entity 'COUNTRY' named entity 'UNIVERSITY' named entity 'PERFORMANCE' named entity 'CURE' named entity 'STUDY' named entity 'THESE' named entity 'RISE' named entity 'VALUE' named entity 'INTERVAL' named entity 'REGRESSION MODEL' named entity 'PREDICTIONS' named entity 'TIME PERIOD' named entity 'PREPARING' named entity 'DATE' named entity 'NUMBER OF' named entity 'ANTIDOTE' named entity 'JOHN' named entity 'HAVE' named entity 'CALCULATED' named entity 'TESTED' named entity 'CONTACT' named entity 'GLOBAL' named entity 'EXPECTED' named entity 'MARCH' named entity 'ERROR' named entity 'NOT AVAILABLE' named entity 'INDIA' named entity 'USING' named entity 'FOUND' named entity 'TILL' named entity 'MODELS' named entity '2 WEEKS' named entity 'LONG-TERM' named entity 'BASED' named entity 'IS A' named entity 'THEIR' named entity 'ACCORDING' named entity 'JANUARY' named entity 'RESPIRATORY' named entity 'TRANSMITTED' named entity 'USED' named entity 'OUTBREAK' named entity 'REDUCING' named entity 'CASES' named entity 'TO TAKE' covid:arg/b2668487afe5796f5a35f8c5f8c49827dc87c2bd

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