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

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

INTRODUCTION:In the context of malaria elimination, interventions will need to target high burden areas to further reduce transmission. Current tools to monitor and report disease burden lack the capacity to continuously detect fine-scale spatial and temporal variations of disease distribution exhib...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Alinune N Kabaghe, Michael G Chipeta, Robert S McCann, Kamija S Phiri, Michèle van Vugt, Willem Takken, Peter Diggle, Anja D Terlouw
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Public Library of Science (PLoS) 2017-01-01
Sarja:PLoS ONE
Linkit:http://europepmc.org/articles/PMC5308819?pdf=render

Internet

http://europepmc.org/articles/PMC5308819?pdf=render

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