5127 5 archive 3 disk0/00/00/51/27 2026-03-23 10:58:32 2026-03-23 10:58:32 2026-03-23 10:58:32 data_collection show Nightingale Emily 0000-0002-9265-1841 TRUE 2b2361ffede3c9e80a231b8f649cb392 London School of Hygiene & Tropical Medicine, London, United Kingdom esnightingale/polio-ffi-model EPED Poliovirus Poliomyelitis Nigeria Fatal familial insomnia Vaccines 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. 2025-12-19 published Github Software London School of Hygiene & Tropical Medicine, London, United Kingdom Other none Software R script en Github https://github.com/esnightingale/polio-ffi-model dataresource Sub-national modelling of surveillance sensitivity to inform declaration of disease elimination: A retrospective validation against the elimination of wild poliovirus in Nigeria. https://researchonline.lshtm.ac.uk/id/eprint/4681577 2025-12-19