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Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources

Detalles Bibliográficos
Autores principales: Zinszer, Kate, Kigozi, Ruth, Charland, Katia, Dorsey, Grant, Kamya, Moses, Buckeridge, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050902/
http://dx.doi.org/10.5210/ojphi.v6i1.5150
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author Zinszer, Kate
Kigozi, Ruth
Charland, Katia
Dorsey, Grant
Kamya, Moses
Buckeridge, David
author_facet Zinszer, Kate
Kigozi, Ruth
Charland, Katia
Dorsey, Grant
Kamya, Moses
Buckeridge, David
author_sort Zinszer, Kate
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spelling pubmed-40509022014-06-18 Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources Zinszer, Kate Kigozi, Ruth Charland, Katia Dorsey, Grant Kamya, Moses Buckeridge, David Online J Public Health Inform ISDS 2013 Conference Abstracts University of Illinois at Chicago Library 2014-04-29 /pmc/articles/PMC4050902/ http://dx.doi.org/10.5210/ojphi.v6i1.5150 Text en ISDS Annual Conference Proceedings 2013. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle ISDS 2013 Conference Abstracts
Zinszer, Kate
Kigozi, Ruth
Charland, Katia
Dorsey, Grant
Kamya, Moses
Buckeridge, David
Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources
title Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources
title_full Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources
title_fullStr Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources
title_full_unstemmed Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources
title_short Predicting Malaria in a Highly Endemic Country using Environmental and Clinical Data Sources
title_sort predicting malaria in a highly endemic country using environmental and clinical data sources
topic ISDS 2013 Conference Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4050902/
http://dx.doi.org/10.5210/ojphi.v6i1.5150
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AT dorseygrant predictingmalariainahighlyendemiccountryusingenvironmentalandclinicaldatasources
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