Seven challenges in modeling vaccine preventable diseases

C J E Metcalf¹, V Andreasen², O N Bjørnstad³, K Eames⁴, W J Edmunds⁴, S Funk⁴, T D Hollingsworth⁵, J Lessler⁶, C Viboud⁷, B T Grenfell⁸

Affiliations

¹ Department of Ecology and Evolutionary Biology and the Woodrow Wilson School, Princeton University, Princeton, NJ, USA. Electronic address: cmetcalf@princeton.edu.
² Department of Science, Systems and Models, Universitetsvej 1, 27.1, DK-4000 Roskilde, Denmark.
³ Centre for Infectious Disease Dynamics, the Pennsylvania State University, State College, PA, USA.
⁴ Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
⁵ Warwick Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK; School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK.
⁶ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁷ Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
⁸ Department of Ecology and Evolutionary Biology and the Woodrow Wilson School, Princeton University, Princeton, NJ, USA; Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.

PMID: 25843375
PMCID: PMC6777947
DOI: 10.1016/j.epidem.2014.08.004

Seven challenges in modeling vaccine preventable diseases

C J E Metcalf et al. Epidemics. 2015 Mar.

. 2015 Mar:10:11-5.

doi: 10.1016/j.epidem.2014.08.004. Epub 2014 Aug 27.

Authors

C J E Metcalf¹, V Andreasen², O N Bjørnstad³, K Eames⁴, W J Edmunds⁴, S Funk⁴, T D Hollingsworth⁵, J Lessler⁶, C Viboud⁷, B T Grenfell⁸

Affiliations

¹ Department of Ecology and Evolutionary Biology and the Woodrow Wilson School, Princeton University, Princeton, NJ, USA. Electronic address: cmetcalf@princeton.edu.
² Department of Science, Systems and Models, Universitetsvej 1, 27.1, DK-4000 Roskilde, Denmark.
³ Centre for Infectious Disease Dynamics, the Pennsylvania State University, State College, PA, USA.
⁴ Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
⁵ Warwick Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK; School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool L3 5QA, UK.
⁶ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁷ Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
⁸ Department of Ecology and Evolutionary Biology and the Woodrow Wilson School, Princeton University, Princeton, NJ, USA; Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.

PMID: 25843375
PMCID: PMC6777947
DOI: 10.1016/j.epidem.2014.08.004

Abstract

Vaccination has been one of the most successful public health measures since the introduction of basic sanitation. Substantial mortality and morbidity reductions have been achieved via vaccination against many infections, and the list of diseases that are potentially controllable by vaccines is growing steadily. We introduce key challenges for modeling in shaping our understanding and guiding policy decisions related to vaccine preventable diseases.

Keywords: Coverage; Elimination; Immunity; Modeling; Vaccination.

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References

1. Knox EG, Strategy for rubella vaccination. International Journal of Epidemiology, 1980. 9: p. 13–23. - PubMed
1. Halloran ME, et al. , Design and analysis of vaccine studies. 2010: Springer.
1. Burton A, et al. , WHO and UNICEF estimates of national infant immunization coverage: methods and processes. Bulletin of the World Health Organization, 2009. 87: p. 535–541. - PMC - PubMed
1. Lessler J, et al. , Measuring the performance of vaccination programs using cross-sectional surveys. PloS Medicine, 2011. 8: p. e1001110. - PMC - PubMed
1. Funk S, Salathé M, and Jansen VA, Modelling the influence of human behaviour on the spread of infectious diseases: a review. Journal of the Royal Society Interface, 2010. 7(50): p. 1247–1256. - PMC - PubMed

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Seven challenges in modeling vaccine preventable diseases

Affiliations

Seven challenges in modeling vaccine preventable diseases

Authors

Affiliations

Abstract

References

Publication types

MeSH terms

Substances

Grants and funding

LinkOut - more resources

Full Text Sources

Other Literature Sources

Medical