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Quantifying Aggregated Uncertainty in Plasmodium falciparum Malaria Prevalence and Populations at Risk via Efficient Space-Time Geostatistical Joint Simulation

Risk maps estimating the spatial distribution of infectious diseases are required to guide public health policy from local to global scales. The advent of model-based geostatistics (MBG) has allowed these maps to be generated in a formal statistical framework, providing robust metrics of map uncerta...

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Detalhes bibliográficos
Main Authors: Gething, Peter W., Patil, Anand P., Hay, Simon I.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2848537/
https://ncbi.nlm.nih.gov/pubmed/20369009
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1000724
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