Evaluating changes in the prevalence of female genital mutilation/cutting among 0-14 years old girls in Nigeria using data from multiple surveys: A novel Bayesian hierarchical spatio-temporal model

• Chibuzor Christopher Nnanatu ,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

  * E-mail: chibuzor.nnanatu@northumbria.ac.uk

  Affiliations Northumbria University, Newcastle, United Kingdom, Nnamdi Azikiwe University, Awka, Nigeria

  https://orcid.org/0000-0002-5841-3700

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• Glory Atilola,

  Roles Data curation, Formal analysis, Writing – review & editing

  Affiliation Northumbria University, Newcastle, United Kingdom

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• Paul Komba,

  Roles Writing – review & editing

  Affiliation Northumbria University, Newcastle, United Kingdom

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• Lubanzadio Mavatikua,

  Roles Data curation, Project administration, Writing – review & editing

  Affiliation Northumbria University, Newcastle, United Kingdom

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• Zhuzhi Moore,

  Roles Data curation, Formal analysis, Writing – review & editing

  Affiliation Independent Consultant, Seattle, Washington, United States of America

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• Dennis Matanda,

  Roles Writing – review & editing

  Affiliation Population Council, Nairobi, Kenya

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• Otibho Obianwu,

  Roles Writing – review & editing

  Affiliation Population Council, Abuja, Nigeria

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• Ngianga-Bakwin Kandala

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations Division of Epidemiology and Biostatistics, School of Public Health, University of The Witwatersrand, Johannesburg, South Africa, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom

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