Key result
Estimated polio vaccination campaign effectiveness improved across northern Nigeria, with Kano state experiencing a 40% increase in effectiveness from 35% in 2013 to 75% in 2014.
Observational
Effect estimate: 40% increase (95% CI 26-54)
Absolute Event Rate: 75% vs 35%
A novel Bayesian hierarchical model using surveillance data provides district-level estimates of polio vaccination campaign effectiveness and population immunity to guide eradication efforts.
May guide targeted polio eradication in northern Nigeria; leaves open whether district-level estimates generalize beyond observational surveillance data.
BACKGROUND: The world is closer than ever to a polio-free Africa. In this end-stage, it is important to ensure high levels of population immunity to prevent polio outbreaks. Here, we introduce a new method of assessing vaccination campaign effectiveness and estimating immunity at the district-level. We demonstrate how this approach can be used to plan the vaccination campaigns prospectively to better manage population immunity in Northern Nigeria. METHODS: Using Nigerian acute flaccid paralysis surveillance data from 2004-2014, we developed a Bayesian hierarchical model of campaign effectiveness and compared it to lot-quality assurance sampling data. We then used reconstructed sero-specific population immunity based on campaign history and compared district estimates of immunity to the occurrence of confirmed poliovirus cases. RESULTS: Estimated campaign effectiveness has improved across northern Nigeria since 2004, with Kano state experiencing an increase of 40 % (95 % CI, 26-54 %) in effectiveness from 2013 to 2014. Immunity to type 1 poliovirus has increased steadily. On the other hand, type 2 immunity was low and variable until the recent use of trivalent oral polio vaccine. We find that immunity estimates are related to the occurrence of both wild and vaccine-derived poliovirus cases and that campaign effectiveness correlates with direct measurements using lot-quality assurance sampling. Future campaign schedules highlight the trade-offs involved with using different vaccine types. CONCLUSIONS: The model in this study provides a novel method for assessing vaccination campaign performance and epidemiologically-relevant estimates of population immunity. Small-area estimates of campaign effectiveness can then be used to evaluate prospective campaign plans. This modeling approach could be applied to other countries as well as other vaccine preventable diseases.
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Upfill‐Brown et al. (2016) conducted an observational in Poliovirus immunity. Polio vaccination campaigns (OPV) vs. Previous years (2013) was evaluated on Campaign effectiveness in Kano state (40% increase, 95% CI 26-54). Estimated polio vaccination campaign effectiveness improved across northern Nigeria, with Kano state experiencing a 40% increase in effectiveness from 35% in 2013 to 75% in 2014.
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