Sub-national modelling of surveillance sensitivity to inform declaration of disease elimination: A retrospective validation against the elimination of wild poliovirus in Nigeria.
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| Title: | Sub-national modelling of surveillance sensitivity to inform declaration of disease elimination: A retrospective validation against the elimination of wild poliovirus in Nigeria. |
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| Authors: | Nightingale ES; Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom., Pham-Minh L; Polio Eradication Department, World Health Organization, Geneva, Switzerland., Bello IM; Polio Eradication Department, World Health Organization, Geneva, Switzerland., Okrior S; The Bill and Melinda Gates Foundation, Seattle, Washington, United States of America., Erbeto TB; World Health Organization, Country Office, Abuja, Nigeria., Baba M; National Polio Laboratory, Maiduguri, Nigeria., Adeneji A; National Polio Laboratory, Ibadan, Nigeria., Auzenbergs M; Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom., Edmunds WJ; Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom., O'Reilly KM; Department of Infectious Disease Epidemiology and Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Mar 16; Vol. 22 (3), pp. e1013984. Date of Electronic Publication: 2026 Mar 16 (Print Publication: 2026). |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013984 |
