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Literature DB >> 19702014

Mathematical modelling of the pandemic H1N1 2009.

Abstract

Entities: Species

Mesh：

Substances：
Influenza Vaccines

Year: 2009 PMID： 19702014

Source DB: PubMed Journal: Wkly Epidemiol Rec ISSN： 0049-8114

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Cited

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22 in total

1. Epidemic and intervention modelling--a scientific rationale for policy decisions? Lessons from the 2009 influenza pandemic.

Authors: Maria D Van Kerkhove; Neil M Ferguson
Journal: Bull World Health Organ Date: 2012-04-01 Impact factor: 9.408

2. Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.

Authors: Marc Lipsitch; Lyn Finelli; Richard T Heffernan; Gabriel M Leung; Stephen C Redd
Journal: Biosecur Bioterror Date: 2011-06

3. Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: insights from modeling.

Authors:
Journal: PLoS Curr Date: 2009-12-17

4. Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: insights from modeling.

Authors: Maria D Van Kerkhove; Tommi Asikainen; Niels G Becker; Steven Bjorge; Jean-Claude Desenclos; Thais dos Santos; Christophe Fraser; Gabriel M Leung; Marc Lipsitch; Ira M Longini; Emma S McBryde; Cathy E Roth; David K Shay; Derek J Smith; Jacco Wallinga; Peter J White; Neil M Ferguson; Steven Riley
Journal: PLoS Med Date: 2010-06-01 Impact factor: 11.069

5. Real-time forecasting of an epidemic using a discrete time stochastic model: a case study of pandemic influenza (H1N1-2009).

Authors: Hiroshi Nishiura
Journal: Biomed Eng Online Date: 2011-02-16 Impact factor: 2.819

Mathematical modelling of the pandemic H1N1 2009.

1. Epidemic and intervention modelling--a scientific rationale for policy decisions? Lessons from the 2009 influenza pandemic.

2. Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.

3. Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: insights from modeling.

4. Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: insights from modeling.

5. Real-time forecasting of an epidemic using a discrete time stochastic model: a case study of pandemic influenza (H1N1-2009).

6. Clinical characteristics of children with 2009 pandemic influenza A (H1N1) admitted in a single institution.

7. Outbreak of pandemic influenza A/H1N1 2009 in Nepal.

8. Optimal H1N1 vaccination strategies based on self-interest versus group interest.

9. Modeling of H1N1 Outbreak in Rajasthan: Methods and Approaches.

10. Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009.