Gender-related differences in prevalence, intensity and associated risk factors of Schistosoma infections in Africa: A systematic review and meta-analysis

• Diepreye Victoria Ayabina ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft

  * E-mail: preyeayabina@yahoo.com

  Affiliation Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom

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• Jessica Clark,

  Roles Data curation, Methodology, Writing – review & editing

  Affiliations Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom, Wellcome Centre for Integrative Parasitology, University of Glasgow, Glasgow, United Kingdom

  https://orcid.org/0000-0003-1692-899X

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• Helena Bayley,

  Roles Data curation

  Affiliation Department of Physics, University of Oxford, Oxford, United Kingdom

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• Poppy H. L. Lamberton,

  Roles Supervision, Writing – review & editing

  Affiliations Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom, Wellcome Centre for Integrative Parasitology, University of Glasgow, Glasgow, United Kingdom

  https://orcid.org/0000-0003-1048-6318

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• Jaspreet Toor ,

  Roles Conceptualization, Data curation, Methodology, Supervision, Writing – review & editing

  ¶‡ These authors are joint last authors on this work.

  Affiliations Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom, MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom

  https://orcid.org/0000-0003-1510-397X

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• T. Deirdre Hollingsworth

  Roles Funding acquisition, Supervision, Writing – review & editing

  ¶‡ These authors are joint last authors on this work.

  Affiliation Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom

  https://orcid.org/0000-0001-5962-4238

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