esnightingale/polio-ffi-model

Nightingale, EORCID logo (2025). esnightingale/polio-ffi-model. [Dataset]. Github. https://github.com/esnightingale/polio-ffi-model
Copy

This repository provides code to conduct an analysis of polio surveillance data, assessing risk, sensitivity of poliovirus detection and the probability of elimination from a bounded region. It builds upon principles described in O'Reilly et al 2020 and the data cleaning and immunity modelling in Voorman et al 2023. The analysis approach is described in full in Nightingale et al (2025), along with the results of a validation against the evaluation of wild poliovirus elimination in Nigeria between 2014 and 2020.

Keywords

Poliovirus; Poliomyelitis; Nigeria; Fatal familial insomnia; Vaccines

No files available. Please consult associated links.


EndNote BibTeX Reference Manager Refer Atom Dublin Core (with Type as Type) JSON Multiline CSV RDF+N-Triples RDF+N3 METS MODS ASCII Citation HTML Citation OpenURL ContextObject in Span OpenURL ContextObject OPENAIRE EP3 XML MPEG-21 DIDL Data Cite XML RDF+XML Simple Metadata
Export