Literature DB >> 32146583

A Note on Observation Processes in Epidemic Models.

Sang Woo Park1,2, Benjamin M Bolker3,4,5.   

Abstract

Many disease models focus on characterizing the underlying transmission mechanism but make simple, possibly naive assumptions about how infections are reported. In this note, we use a simple deterministic Susceptible-Infected-Removed (SIR) model to compare two common assumptions about disease incidence reports: Individuals can report their infection as soon as they become infected or as soon as they recover. We show that incorrect assumptions about the underlying observation processes can bias estimates of the basic reproduction number and lead to overly narrow confidence intervals.

Entities:  

Keywords:  Basic reproduction number; Epidemic modeling; Parameter estimation; SIR model

Mesh:

Year:  2020        PMID: 32146583     DOI: 10.1007/s11538-020-00713-2

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  2 in total

1.  Ground reality versus model-based computation of basic reproductive numbers in epidemics.

Authors:  Arni S R Srinivasa Rao; Steven G Krantz
Journal:  J Math Anal Appl       Date:  2021-01-27       Impact factor: 1.417

2.  Addressing the COVID-19 transmission in inner Brazil by a mathematical model.

Authors:  T N Vilches; C P Ferreira; C M C B Fortaleza; G B Almeida
Journal:  Sci Rep       Date:  2021-05-24       Impact factor: 4.379

  2 in total

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