Literature DB >> 16627736

Predictability and preparedness in influenza control.

Derek J Smith1.   

Abstract

The threat of pandemic human influenza looms as we survey the ongoing avian influenza pandemic and wonder if and when it will jump species. What are the risks and how can we plan? The nub of the problem lies in the inherent variability of the virus, which makes prediction difficult. However, it is not impossible; mathematical models can help determine and quantify critical parameters and thresholds in the relationships of those parameters, even if the relationships are nonlinear and obscure to simple reasoning. Mathematical models can derive estimates for the levels of drug stockpiles needed to buy time, how and when to modify vaccines, whom to target with vaccines and drugs, and when to enforce quarantine measures. Regardless, the models used for pandemic planning must be tested, and for this we must continue to gather data, not just for exceptional scenarios but also for seasonal influenza.

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Year:  2006        PMID: 16627736     DOI: 10.1126/science.1122665

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  30 in total

Review 1.  Influenza seasonality: underlying causes and modeling theories.

Authors:  Eric Lofgren; N H Fefferman; Y N Naumov; J Gorski; E N Naumova
Journal:  J Virol       Date:  2006-12-20       Impact factor: 5.103

2.  Antigenic profile of avian H5N1 viruses in Asia from 2002 to 2007.

Authors:  Wai Lan Wu; Yixin Chen; Pui Wang; Wenjun Song; Siu-Ying Lau; Jane M Rayner; Gavin J D Smith; Robert G Webster; J S Malik Peiris; Tianwei Lin; Ningshao Xia; Yi Guan; Honglin Chen
Journal:  J Virol       Date:  2007-12-12       Impact factor: 5.103

3.  Modelling control measures to reduce the impact of pandemic influenza among schoolchildren.

Authors:  S-C Chen; C-M Liao
Journal:  Epidemiol Infect       Date:  2007-09-13       Impact factor: 2.451

Review 4.  RNA virus genomics: a world of possibilities.

Authors:  Edward C Holmes
Journal:  J Clin Invest       Date:  2009-09       Impact factor: 14.808

5.  Scale Effects on Spatially Embedded Contact Networks.

Authors:  Peng Gao; Ling Bian
Journal:  Comput Environ Urban Syst       Date:  2016-06-25

6.  Agent-based modeling of host-pathogen systems: The successes and challenges.

Authors:  Amy L Bauer; Catherine A A Beauchemin; Alan S Perelson
Journal:  Inf Sci (N Y)       Date:  2009-04-29       Impact factor: 6.795

7.  Seasonal synchronization of influenza in the United States older adult population.

Authors:  Julia B Wenger; Elena N Naumova
Journal:  PLoS One       Date:  2010-04-15       Impact factor: 3.240

8.  Multi-agent modeling of the South Korean avian influenza epidemic.

Authors:  Taehyong Kim; Woochang Hwang; Aidong Zhang; Surajit Sen; Murali Ramanathan
Journal:  BMC Infect Dis       Date:  2010-08-10       Impact factor: 3.090

9.  Evolutionary entropy determines invasion success in emergent epidemics.

Authors:  Christopher J Rhodes; Lloyd Demetrius
Journal:  PLoS One       Date:  2010-09-23       Impact factor: 3.240

10.  Modelling the progression of pandemic influenza A (H1N1) in Vietnam and the opportunities for reassortment with other influenza viruses.

Authors:  Maciej F Boni; Bui Huu Manh; Pham Quang Thai; Jeremy Farrar; Tran Tinh Hien; Nguyen Tran Hien; Nguyen Van Kinh; Peter Horby
Journal:  BMC Med       Date:  2009-09-03       Impact factor: 8.775

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