A new method for estimating HIV incidence from a single cross-sectional survey

• Ian E. Fellows ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: ian@fellstat.com

  Affiliation Fellows Statistics, San Diego, CA, United States of America

  http://orcid.org/0000-0003-1261-0925

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• Ray W. Shiraishi,

  Roles Conceptualization, Data curation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Division of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States of America

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• Peter Cherutich,

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

  Affiliation National AIDS and STD Control Programme, Ministry of Health, Nairobi, Kenya

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• Thomas Achia,

  Roles Methodology, Validation, Writing – review & editing

  Affiliation Division of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya

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• Peter W. Young,

  Roles Conceptualization, Data curation, Writing – review & editing

  Affiliation Division of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Nairobi, Kenya

  http://orcid.org/0000-0002-7432-2876

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• Andrea A. Kim

  Roles Conceptualization, Data curation, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

  Affiliation Division of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States of America

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