A method for evaluating and comparing immunisation schedules that cover multiple diseases: Illustrative application to the UK routine childhood vaccine schedule. Issue 35 (23rd August 2018)

• Record Type: Journal Article
• Authors: Panovska-Griffiths, Jasmina; Crowe, Sonya; Pagel, Christina; Shiri, Tinevimbo; Grove, Peter; Utley, Martin
• Is Part Of: Vaccine. Volume 36:Issue 35(2018)
• Page Start: 5340
• Page End: 5347
• Publication Date: 2018-08-23
• Subjects: Operational research -- Transmission modelling -- Evaluation of disease burden -- Effective vaccine coverage of immunisation -- Evaluating immunisation programme; Vaccines -- Periodicals; 615.372
• DOI: 10.1016/j.vaccine.2018.05.083
• Languages: English
• ISSNs: 0264-410X

Abstract

Highlights: A framework to link effective vaccine coverage with disease burden across diseases. Framework synthesises transmission models and collated historic datasets. Framework assesses impact of scheduling changes on overall and per-disease burden. Illustrative application to the diseases included in the childhood vaccine programme in the UK. Abstract: Background: In the UK, the childhood immunisation programme is given in the first 5 years of life and protects against 12 vaccine-preventable diseases. Recently, this programme has undergone changes with addition of vaccination against Meningitis B from September 2015 and the removal of the primary dose of protection against Meningitis C from July 2016. These hanges have direct impact on the associated diseases but in addition may induce indirect effects on the vaccines that are given simultaneously or later in the programme. In this work, we developed a novel formal method to evaluate the impact of vaccination changes to one aspect of the programme across an entire vaccine programme. Methods: Firstly, we combined transmission modelling (for four diseases) and historic data synthesis (for eight diseases) to project, for each disease, the disease burden at different levels of effective coverage against the associated disease. Secondly, we used a simulation model to determine the vector of effective coverage against each disease under three variations of the current childhood schedule. Combining these, we calculated the vector of disease burden across the programme under different scenarios, and assessed the direct and indirect effects of the schedule changes. Results: Through illustrative application of our novel framework to three scenarios of the current childhood immunisation programme in the UK, we demonstrated the feasibility of this unifying approach. For each disease in the programme, we successfully quantified the residual disease burden due to the change. For some diseases, the change was indirectly beneficial and reduced the burden, whereas for others the effect was adverse and the change increased the disease burden. Conclusions: Our results demonstrate the potential benefit of considering the programme-wide impact of changes to an immunisation schedule, and our framework is an important step in the development of a means for systematically doing so.