Imperial College London
Alternate

Professor Neil Ferguson

Faculty of Medicine, School of Public Health

Director of the School of Public Health
 
 
 
//

Contact

 

+44 (0)20 7594 3296neil.ferguson Website

 
 
//

Location

 

508School of Public HealthWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Londono:2021:10.1101/2021.01.08.21249378,
author = {Londono, SE and Li, X and Toor, J and Villiers, MJD and Nayagam, S and Hallett, TB and Abbas, K and Jit, M and Klepac, P and Jean, K and Garske, T and Ferguson, NM and Gaythorpe, KAM},
doi = {10.1101/2021.01.08.21249378},
title = {How can the public health impact of vaccination be estimated?},
url = {http://dx.doi.org/10.1101/2021.01.08.21249378},
year = {2021}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>ABSTRACT</jats:title><jats:p>Deaths due to vaccine preventable diseases cause a notable proportion of mortality worldwide. To quantify the importance of vaccination, it is necessary to estimate the burden averted through vaccination. The Vaccine Impact Modelling Consortium (VIMC) was established to estimate the health impact of vaccination. We describe the methods implemented by the VIMC to estimate impact by calendar year, birth year and year of vaccination (YoV). The calendar and birth year methods estimate impact in a particular year and over the lifetime of a particular birth cohort, respectively. The YoV method estimates the impact of a particular year’s vaccination activities through the use of impact ratios which have no stratification and stratification by activity type and/or birth cohort. Furthermore, we detail an impact extrapolation (IE) method for use between coverage scenarios. We compare the methods, focusing on YoV for hepatitis B, measles and yellow fever. We find that the YoV methods estimate similar impact with routine vaccinations but have greater yearly variation when campaigns occur with the birth cohort stratification. The IE performs well for the YoV methods, providing a time-efficient mechanism for updates to impact estimates. These methods provide a robust set of approaches to quantify vaccination impact.</jats:p>
AU  - Londono,SE
AU  - Li,X
AU  - Toor,J
AU  - Villiers,MJD
AU  - Nayagam,S
AU  - Hallett,TB
AU  - Abbas,K
AU  - Jit,M
AU  - Klepac,P
AU  - Jean,K
AU  - Garske,T
AU  - Ferguson,NM
AU  - Gaythorpe,KAM
DO  - 10.1101/2021.01.08.21249378
PY  - 2021///
TI  - How can the public health impact of vaccination be estimated?
UR  - http://dx.doi.org/10.1101/2021.01.08.21249378
ER  -
Download