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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Alinune N Kabaghe, Michael G Chipeta, Robert S McCann, Kamija S Phiri, Michèle van Vugt, Willem Takken, Peter Diggle, Anja D Terlouw
التنسيق: مقال
اللغة:English
منشور في: Public Library of Science (PLoS) 2017-01-01
سلاسل:PLoS ONE
الوصول للمادة أونلاين:http://europepmc.org/articles/PMC5308819?pdf=render

الانترنت

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

مواد مشابهة