Literature DB >> 12387913

Daniel Bernoulli's epidemiological model revisited.

Klaus Dietz1, J A P Heesterbeek.   

Abstract

The seminal paper by Daniel Bernoulli published in 1766 is put into a new perspective. After a short account of smallpox inoculation and of Bernoulli's life, the motivation for that paper and its impact are described. It determines the age-specific equilibrium prevalence of immune individuals in an endemic potentially lethal infectious disease. The gain in life expectancy after elimination of this cause of death can be explicitly expressed in terms of the case fatality and the endemic prevalence of susceptibles. D'Alembert developed in 1761 an alternative method for dealing with competing risks of death, which is also applicable to non-infectious diseases. Bernoulli's formula for the endemic prevalence of susceptibles has so far escaped attention. It involves the lifetime risk of the infection, the force of infection and the life expectancy at birth. A new formula for the basic reproduction number is derived which involves the average force of infection, the average case fatality and the life expectancy at the time of infection. One can use this estimate to assess the gain in life expectancy if only a fraction of the population is immunized.

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Year:  2002        PMID: 12387913     DOI: 10.1016/s0025-5564(02)00122-0

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  40 in total

1.  SIS and SIR Epidemic Models Under Virtual Dispersal.

Authors:  Derdei Bichara; Yun Kang; Carlos Castillo-Chavez; Richard Horan; Charles Perrings
Journal:  Bull Math Biol       Date:  2015-10-21       Impact factor: 1.758

2.  The parameter identification problem for SIR epidemic models: identifying unreported cases.

Authors:  Pierre Magal; Glenn Webb
Journal:  J Math Biol       Date:  2018-01-13       Impact factor: 2.259

3.  From biological and social network metaphors to coupled bio-social wireless networks.

Authors:  Christopher L Barrett; Karthik Channakeshava; Stephen Eubank; V S Anil Kumar; Madhav V Marathe
Journal:  Int J Auton Adapt Commun Syst       Date:  2011

4.  Discrete epidemic models with arbitrary stage distributions and applications to disease control.

Authors:  Nancy Hernandez-Ceron; Zhilan Feng; Carlos Castillo-Chavez
Journal:  Bull Math Biol       Date:  2013-10       Impact factor: 1.758

5.  A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world.

Authors:  Nicola Bellomo; Richard Bingham; Mark A J Chaplain; Giovanni Dosi; Guido Forni; Damian A Knopoff; John Lowengrub; Reidun Twarock; Maria Enrica Virgillito
Journal:  Math Models Methods Appl Sci       Date:  2020-08-19       Impact factor: 3.817

Review 6.  Data-Driven Models of Foot-and-Mouth Disease Dynamics: A Review.

Authors:  L W Pomeroy; S Bansal; M Tildesley; K I Moreno-Torres; M Moritz; N Xiao; T E Carpenter; R B Garabed
Journal:  Transbound Emerg Dis       Date:  2015-11-18       Impact factor: 5.005

7.  Global convergence of COVID-19 basic reproduction number and estimation from early-time SIR dynamics.

Authors:  Gabriel G Katul; Assaad Mrad; Sara Bonetti; Gabriele Manoli; Anthony J Parolari
Journal:  PLoS One       Date:  2020-09-24       Impact factor: 3.240

8.  A kernel-modulated SIR model for Covid-19 contagious spread from county to continent.

Authors:  Xiaolong Geng; Gabriel G Katul; Firas Gerges; Elie Bou-Zeid; Hani Nassif; Michel C Boufadel
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-25       Impact factor: 11.205

9.  Uncertainty quantification of a mathematical model of COVID-19 transmission dynamics with mass vaccination strategy.

Authors:  Alberto Olivares; Ernesto Staffetti
Journal:  Chaos Solitons Fractals       Date:  2021-03-27       Impact factor: 5.944

Review 10.  Mathematical modeling of infectious disease dynamics.

Authors:  Constantinos I Siettos; Lucia Russo
Journal:  Virulence       Date:  2013-04-03       Impact factor: 5.882

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