Literature DB >> 31271207

Identifying the number of unreported cases in SIR epidemic models.

A Ducrot1, P Magal2, T Nguyen2, G F Webb3.   

Abstract

An SIR epidemic model is analysed with respect to the identification of its parameters and initial values, based upon reported case data from public health sources. The objective of the analysis is to understand the relationship of unreported cases to reported cases. In many epidemic diseases the reported cases are a small fraction of the unreported cases. This fraction can be estimated by the identification of parameters for the model from reported case data. The analysis is applied to the Hong Kong seasonal influenza epidemic in New York City in 1968-1969.
© The Author(s) 2018. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Entities:  

Keywords:  epidemic model; reported cases; transmission rate; turning point; unreported cases

Mesh:

Year:  2020        PMID: 31271207     DOI: 10.1093/imammb/dqz013

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  4 in total

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2.  Parameter Estimation and Prediction of COVID-19 Epidemic Turning Point and Ending Time of a Case Study on SIR/SQAIR Epidemic Models.

Authors:  Amir Hossein Amiri Mehra; Mohsen Shafieirad; Zohreh Abbasi; Iman Zamani
Journal:  Comput Math Methods Med       Date:  2020-12-27       Impact factor: 2.238

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Authors:  J Waku; K Oshinubi; J Demongeot
Journal:  Math Comput Simul       Date:  2022-02-25       Impact factor: 3.601

4.  Identification and estimation of the SEIRD epidemic model for COVID-19.

Authors:  Ivan Korolev
Journal:  J Econom       Date:  2020-07-30       Impact factor: 2.388

  4 in total

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