Literature DB >> 20218764

Emergence of viral diseases: mathematical modeling as a tool for infection control, policy and decision making.

Derrick Louz1, Hans E Bergmans, Birgit P Loos, Rob C Hoeben.   

Abstract

Mathematical modeling can be used for the development and implementation of infection control policy to combat outbreaks and epidemics of communicable viral diseases. Here an outline is provided of basic concepts and approaches used in mathematical modeling and parameterization of disease transmission. The use of mathematical models is illustrated, using the 2001 UK foot-and-mouth disease (FMD) epidemic, the 2003 global severe acute respiratory syndrome (SARS) epidemic, and human influenza pandemics, as examples. This provides insights in the strengths, limitations, and weaknesses of the various models, and demonstrates their potential for supporting policy and decision making.

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Year:  2010        PMID: 20218764     DOI: 10.3109/10408411003604619

Source DB:  PubMed          Journal:  Crit Rev Microbiol        ISSN: 1040-841X            Impact factor:   7.624


  7 in total

1.  A cloud-based simulation architecture for pandemic influenza simulation.

Authors:  Henrik Eriksson; Massimiliano Raciti; Maurizio Basile; Alessandro Cunsolo; Anders Fröberg; Ola Leifler; Joakim Ekberg; Toomas Timpka
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Algorithms for detecting and predicting influenza outbreaks: metanarrative review of prospective evaluations.

Authors:  A Spreco; T Timpka
Journal:  BMJ Open       Date:  2016-05-06       Impact factor: 2.692

3.  Association of host, agent and environment characteristics and the duration of incubation and symptomatic periods of norovirus gastroenteritis.

Authors:  T Devasia; B Lopman; J Leon; A Handel
Journal:  Epidemiol Infect       Date:  2014-12-08       Impact factor: 2.451

4.  Detection of severe respiratory disease epidemic outbreaks by CUSUM-based overcrowd-severe-respiratory-disease-index model.

Authors:  Carlos Polanco; Jorge Alberto Castañón-González; Alejandro E Macías; José Lino Samaniego; Thomas Buhse; Sebastián Villanueva-Martínez
Journal:  Comput Math Methods Med       Date:  2013-08-28       Impact factor: 2.238

5.  The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

Authors:  Kristen J Margevicius; Nicholas Generous; Esteban Abeyta; Ben Althouse; Howard Burkom; Lauren Castro; Ashlynn Daughton; Sara Y Del Valle; Geoffrey Fairchild; James M Hyman; Richard Kiang; Andrew P Morse; Carmen M Pancerella; Laura Pullum; Arvind Ramanathan; Jeffrey Schlegelmilch; Aaron Scott; Kirsten J Taylor-McCabe; Alessandro Vespignani; Alina Deshpande
Journal:  PLoS One       Date:  2016-01-28       Impact factor: 3.240

Review 6.  Modelling in infectious diseases: between haphazard and hazard.

Authors:  A Neuberger; M Paul; A Nizar; D Raoult
Journal:  Clin Microbiol Infect       Date:  2013-07-23       Impact factor: 8.067

7.  Outbreak response intervention models of vaccine-preventable diseases in humans and foot-and-mouth disease in livestock: a protocol for a systematic review.

Authors:  James M Azam; Elisha B Are; Xiaoxi Pang; Matthew J Ferrari; Juliet R C Pulliam
Journal:  BMJ Open       Date:  2020-10-05       Impact factor: 2.692

  7 in total

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