Identifying Risk Factors for Recent HIV Infection in Kenya Using a Recent Infection Testing Algorithm: Results from a Nationally Representative Population-Based Survey

• Andrea A. Kim ,

  * E-mail: aakim@cdc.gov

  Affiliation US Centers for Disease Control and Prevention (CDC), Center for Global Health (CGH), Division of Global HIV and Tuberculosis (DGHT), Nairobi, Kenya

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• Bharat S. Parekh,

  Affiliation US CDC, CGH, DGHT, Atlanta, Georgia, United States of America

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• Mamo Umuro,

  Affiliation Kenya Ministry of Health, National Public Health Laboratory Services, Nairobi, Kenya

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• Tura Galgalo,

  Affiliation Kenya Ministry of Health, National Public Health Laboratory Services, Nairobi, Kenya

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• Rebecca Bunnell,

  Affiliation US Centers for Disease Control and Prevention (CDC), Center for Global Health (CGH), Division of Global HIV and Tuberculosis (DGHT), Nairobi, Kenya

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• Ernest Makokha,

  Affiliation US Centers for Disease Control and Prevention (CDC), Center for Global Health (CGH), Division of Global HIV and Tuberculosis (DGHT), Nairobi, Kenya

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• Trudy Dobbs,

  Affiliation US CDC, CGH, DGHT, Atlanta, Georgia, United States of America

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• Patrick Murithi,

  Affiliation Kenya Ministry of Health, National AIDS Control Council, Nairobi, Kenya

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• Nicholas Muraguri,

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

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• Kevin M. De Cock,

  Affiliation US CDC, CGH, Nairobi, Kenya

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• Jonathan Mermin,

  Affiliation US CDC, CGH, Nairobi, Kenya

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• 2007 KAIS study group

  ¶Membership of the 2007 KAIS Study Group is provided in the Acknowledgments.

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