Literature DB >> 9447665

Modelling the persistence of measles.

M J Keeling1.   

Abstract

For vaccination programs to be effective, it is important to understand and predict the persistence of the disease. By considering the process at different scales (from the individual to the population level), several models allow the persistence of diseases, such as measles, to be captured.

Mesh：

Year:  1997        PMID： 9447665     DOI： 10.1016/S0966-842X(97)01147-5

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN： 0966-842X            Impact factor:   17.079


  17 in total

1.  Stochastic dynamics and a power law for measles variability.

Authors:  M Keeling; B Grenfell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-04-29       Impact factor: 6.237

2.  Evolutionary trade-offs at two time-scales: competition versus persistence.

Authors:  M Keeling
Journal:  Proc Biol Sci       Date:  2000-02-22       Impact factor: 5.349

3.  Understanding the persistence of measles: reconciling theory, simulation and observation.

Authors:  Matt J Keeling; Bryan T Grenfell
Journal:  Proc Biol Sci       Date:  2002-02-22       Impact factor: 5.349

Review 4.  Networks and epidemic models.

Authors:  Matt J Keeling; Ken T D Eames
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

5.  Bubonic plague: a metapopulation model of a zoonosis.

Authors:  M J Keeling; C A Gilligan
Journal:  Proc Biol Sci       Date:  2000-11-07       Impact factor: 5.349

6.  Trip duration modifies spatial spread of infectious diseases.

Authors:  Andrew W Park
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-24       Impact factor: 11.205

7.  Origin of measles virus: divergence from rinderpest virus between the 11th and 12th centuries.

Authors:  Yuki Furuse; Akira Suzuki; Hitoshi Oshitani
Journal:  Virol J       Date:  2010-03-04       Impact factor: 4.099

8.  A nonlinear programming approach for estimation of transmission parameters in childhood infectious disease using a continuous time model.

Authors:  Daniel P Word; Derek A T Cummings; Donald S Burke; Sopon Iamsirithaworn; Carl D Laird
Journal:  J R Soc Interface       Date:  2012-02-15       Impact factor: 4.118

Review 9.  Measles control--can measles virus inhibitors make a difference?

Authors:  Richard K Plemper; James P Snyder
Journal:  Curr Opin Investig Drugs       Date:  2009-08

Review 10.  Canine rabies ecology in southern Africa.

Authors:  John Bingham
Journal:  Emerg Infect Dis       Date:  2005-09       Impact factor: 6.883
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