Big Data Opportunities for Global Infectious Disease Surveillance
Publication Date
April 02, 2013
Journal
PLOS Medicine
Authors
Simon I. Hay, Dylan B. George, Catherine L. Moyes & John S. Brownstein
Volume
10
Issue
4
Pages
e1001413
DOI
http://doi.org/10.1371/journal.pmed.1001413
Publisher URL
http://journals.plos.org/plosmedicine/article?id=10.1371%2Fjournal.pmed.1001413
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/23565065
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614504
Europe PMC
http://europepmc.org/abstract/MED/23565065
Web of Science
000319669600003
Scopus
84876918884
Mendeley
http://www.mendeley.com/research/big-data-opportunities-global-infectious-disease-surveillance
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Mendeley | Further Information

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CrossRef

Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/1003853"], "description"=>"<p>The <i>definitive extent</i> of infectious disease occurrence at the national level (red is certain presence, green is certain absence) <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001413#pmed.1001413-Brady1\" target=\"_blank\">[16]</a> is combined with assemblies of known occurrence, presence <i>points</i> (red dots), to generate putative <i>pseudo-absence points</i> (blue dots). The <i>presence</i> and <i>pseudo-absence</i> data are then used in the analyses, with selected <i>environmental covariates</i> to predict <i>disease risk</i>, formally the probability of occurrence of the target disease. In this example a risk map of dengue is shown, shaded from low probability of occurrence in blue to high probability of occurrence in red <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001413#pmed.1001413-Simmons1\" target=\"_blank\">[8]</a>. The arrows represent data flows.</p>", "links"=>[], "tags"=>["schematic", "overview", "predicting", "spatial"], "article_id"=>664631, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Simon I. Hay", "Dylan B. George", "Catherine L. Moyes", "John S. Brownstein"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1001413.g001", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_schematic_overview_of_the_process_of_predicting_spatial_disease_risk_/664631", "title"=>"A schematic overview of the process of predicting spatial disease risk.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-03 05:50:52"}

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Relative Metric

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