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...

Полное описание

Библиографические подробности
Главные авторы:	Alinune N Kabaghe, Michael G Chipeta, Robert S McCann, Kamija S Phiri, Michèle van Vugt, Willem Takken, Peter Diggle, Anja D Terlouw
Формат:	Статья
Язык:	English
Опубликовано:	Public Library of Science (PLoS) 2017-01-01
Серии:	PLoS ONE
Online-ссылка:	http://europepmc.org/articles/PMC5308819?pdf=render

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