Adaptive geostatistical sampling enables efficient identification of malaria hotspots in repeated cross-sectional surveys in rural Malawi

• Alinune N. Kabaghe ,

  * E-mail: akabaghe@medcol.mw

  Affiliations Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands, Public Health Department, College of Medicine, University of Malawi, Blantyre, Malawi

  http://orcid.org/0000-0001-8517-1586

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• Michael G. Chipeta,

  Affiliations Public Health Department, College of Medicine, University of Malawi, Blantyre, Malawi, Lancaster Medical School, Lancaster University, Lancaster, United Kingdom, Malaria Theme, Malawi-Liverpool Wellcome Trust, Blantyre, Malawi

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• Robert S. McCann,

  Affiliations Public Health Department, College of Medicine, University of Malawi, Blantyre, Malawi, Laboratory of Entomology, Wageningen University and Research, Wageningen, Netherlands

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• Kamija S. Phiri,

  Affiliation Public Health Department, College of Medicine, University of Malawi, Blantyre, Malawi

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• Michèle van Vugt,

  Affiliation Center of Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Division of Internal Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands

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• Willem Takken,

  Affiliation Laboratory of Entomology, Wageningen University and Research, Wageningen, Netherlands

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• Peter Diggle,

  Affiliation Lancaster Medical School, Lancaster University, Lancaster, United Kingdom

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• Anja D. Terlouw

  Affiliation Malaria Theme, Malawi-Liverpool Wellcome Trust, Blantyre, Malawi

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