Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus
Publication Date
August 07, 2012
Journal
PLOS Neglected Tropical Diseases
Authors
Oliver J. Brady, Peter W. Gething, Samir Bhatt, Jane P. Messina, et al
Volume
6
Issue
8
Pages
e1760
DOI
https://dx.plos.org/10.1371/journal.pntd.0001760
Publisher URL
http://journals.plos.org/plosntds/article?id=10.1371%2Fjournal.pntd.0001760
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/22880140
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413714
Europe PMC
http://europepmc.org/abstract/MED/22880140
Web of Science
000308497100009
Scopus
84865988274
Mendeley
http://www.mendeley.com/research/refining-global-spatial-limits-dengue-virus-transmission-evidencebased-consensus
Events
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Mendeley | Further Information

{"title"=>"Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus", "type"=>"journal", "authors"=>[{"first_name"=>"Oliver J.", "last_name"=>"Brady", "scopus_author_id"=>"55353678100"}, {"first_name"=>"Peter W.", "last_name"=>"Gething", "scopus_author_id"=>"57193559189"}, {"first_name"=>"Samir", "last_name"=>"Bhatt", "scopus_author_id"=>"26658840800"}, {"first_name"=>"Jane P.", "last_name"=>"Messina", "scopus_author_id"=>"57199227091"}, {"first_name"=>"John S.", "last_name"=>"Brownstein", "scopus_author_id"=>"8872411400"}, {"first_name"=>"Anne G.", "last_name"=>"Hoen", "scopus_author_id"=>"31267459800"}, {"first_name"=>"Catherine L.", "last_name"=>"Moyes", "scopus_author_id"=>"55320831300"}, {"first_name"=>"Andrew W.", "last_name"=>"Farlow", "scopus_author_id"=>"16022078300"}, {"first_name"=>"Thomas W.", "last_name"=>"Scott", "scopus_author_id"=>"7402144111"}, {"first_name"=>"Simon I.", "last_name"=>"Hay", "scopus_author_id"=>"7101875313"}], "year"=>2012, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"issn"=>"19352727", "scopus"=>"2-s2.0-84865988274", "pui"=>"365599547", "doi"=>"10.1371/journal.pntd.0001760", "isbn"=>"1935-2735", "sgr"=>"84865988274", "pmid"=>"22880140"}, "id"=>"4e9224b3-5142-3900-92ce-229c712ed804", "abstract"=>"BACKGROUND: Dengue is a growing problem both in its geographical spread and in its intensity, and yet current global distribution remains highly uncertain. Challenges in diagnosis and diagnostic methods as well as highly variable national health systems mean no single data source can reliably estimate the distribution of this disease. As such, there is a lack of agreement on national dengue status among international health organisations. Here we bring together all available information on dengue occurrence using a novel approach to produce an evidence consensus map of the disease range that highlights nations with an uncertain dengue status. METHODS/PRINCIPAL FINDINGS: A baseline methodology was used to assess a range of evidence for each country. In regions where dengue status was uncertain, additional evidence types were included to either clarify dengue status or confirm that it is unknown at this time. An algorithm was developed that assesses evidence quality and consistency, giving each country an evidence consensus score. Using this approach, we were able to generate a contemporary global map of national-level dengue status that assigns a relative measure of certainty and identifies gaps in the available evidence. CONCLUSION: The map produced here provides a list of 128 countries for which there is good evidence of dengue occurrence, including 36 countries that have previously been classified as dengue-free by the World Health Organization and/or the US Centers for Disease Control. It also identifies disease surveillance needs, which we list in full. The disease extents and limits determined here using evidence consensus, marks the beginning of a five-year study to advance the mapping of dengue virus transmission and disease risk. Completion of this first step has allowed us to produce a preliminary estimate of population at risk with an upper bound of 3.97 billion people. This figure will be refined in future work.", "link"=>"http://www.mendeley.com/research/refining-global-spatial-limits-dengue-virus-transmission-evidencebased-consensus", "reader_count"=>705, "reader_count_by_academic_status"=>{"Unspecified"=>21, "Professor > Associate Professor"=>20, "Librarian"=>1, "Researcher"=>97, "Student > Doctoral Student"=>49, "Student > Ph. D. Student"=>119, "Student > Postgraduate"=>52, "Student > Master"=>150, "Other"=>32, "Student > Bachelor"=>138, "Lecturer"=>11, "Lecturer > Senior Lecturer"=>2, "Professor"=>13}, "reader_count_by_user_role"=>{"Unspecified"=>21, "Professor > Associate Professor"=>20, "Librarian"=>1, "Researcher"=>97, "Student > Doctoral Student"=>49, "Student > Ph. D. Student"=>119, "Student > Postgraduate"=>52, "Student > Master"=>150, "Other"=>32, "Student > Bachelor"=>138, "Lecturer"=>11, "Lecturer > Senior Lecturer"=>2, "Professor"=>13}, "reader_count_by_subject_area"=>{"Unspecified"=>39, "Agricultural and Biological Sciences"=>206, "Arts and Humanities"=>2, "Veterinary Science and Veterinary Medicine"=>6, "Business, Management and Accounting"=>4, "Chemical Engineering"=>1, "Chemistry"=>29, "Computer Science"=>12, "Earth and Planetary Sciences"=>8, "Economics, Econometrics and Finance"=>6, "Engineering"=>14, "Environmental Science"=>24, "Biochemistry, Genetics and Molecular Biology"=>60, "Nursing and Health Professions"=>22, "Materials Science"=>4, "Mathematics"=>12, "Medicine and Dentistry"=>190, "Neuroscience"=>2, "Design"=>3, "Pharmacology, Toxicology and Pharmaceutical Science"=>12, "Physics and Astronomy"=>5, "Social Sciences"=>19, "Immunology and Microbiology"=>25}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>190}, "Social Sciences"=>{"Social Sciences"=>19}, "Physics and Astronomy"=>{"Physics and Astronomy"=>5}, "Mathematics"=>{"Mathematics"=>12}, "Unspecified"=>{"Unspecified"=>39}, "Environmental Science"=>{"Environmental Science"=>24}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>12}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Design"=>{"Design"=>3}, "Engineering"=>{"Engineering"=>14}, "Chemistry"=>{"Chemistry"=>29}, "Neuroscience"=>{"Neuroscience"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>8}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>6}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>25}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>206}, "Computer Science"=>{"Computer Science"=>12}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>22}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>60}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>6}}, "reader_count_by_country"=>{"Ecuador"=>1, "Bhutan"=>1, "United States"=>8, "Japan"=>1, "Tanzania"=>1, "United Kingdom"=>6, "Madagascar"=>1, "Portugal"=>1, "French Polynesia"=>1, "Canada"=>1, "Vietnam"=>1, "Brazil"=>6, "Mexico"=>1, "France"=>1, "Indonesia"=>3}, "group_count"=>37}

CrossRef

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/595279"], "description"=>"<p>The map shows governments that at a minimum display dengue case data at a national level yearly via their official Ministry of Health website.</p>", "links"=>[], "tags"=>["governments", "dengue"], "article_id"=>265769, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g008", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_worldwide_variation_in_governments_that_publicly_display_dengue_data_/265769", "title"=>"The worldwide variation in governments that publicly display dengue data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:36:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/595341"], "description"=>"<p><a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#pntd-0001760-t001\" target=\"_blank\">Table 1</a> shows countries for which we identified a consensus better than indeterminate on dengue-presence, but was listed as dengue-absent by the WHO or the CDC. WHO = World Health Organization, CDC = Centers for Disease Control, SE = supplementary evidence, PCR = polymerase chain reaction, DHF = dengue haemorrhagic fever.</p>", "links"=>[], "tags"=>["reassessment", "dengue"], "article_id"=>265831, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.t001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Countries_that_require_a_reassessment_of_dengue_status_by_health_organisations_/265831", "title"=>"Countries that require a reassessment of dengue status by health organisations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-07 01:37:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/594667"], "description"=>"<p>Cream boxes represent mandatory categories while red boxes represent optional categories that are only used where required (see <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#s2\" target=\"_blank\">Methods</a>). Dashed lines surround individual parameters that are assessed and totalled in the scoring system. Green boxes describe the level of evidence, with a given score in the blue oval. * Each individual piece of literary evidence is scored for contemporariness and accuracy before taking an average of the whole set then adding the combination score. Evidence consensus is calculated as the proportion of the maximum possible score from the dashed lined characteristics that are used. Δ Maximum possible score depends on which categories are included and can vary from 15 (Case data and Health organisation status, but no peer-reviewed evidence available) to 30 (all evidence categories included). Yrs = years. HE = total healthcare expenditure per capita at average U.S. $ exchange rates.</p>", "links"=>[], "tags"=>["scoring"], "article_id"=>265158, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Overview_of_the_evidence_scoring_system_/265158", "title"=>"Overview of the evidence scoring system.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:25:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/594524"], "description"=>"<p>Blue diamonds describe input data; orange boxes denote experimental procedures; green ovals indicate output data; dashed lines represent intermediate outputs and solid lines final outputs; dotted white ovals denote the number of countries for which data was available and added to the final output. Dotted rectangles identify the different evidence categories and their main data sources. S1 = <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#pntd.0001760.s008\" target=\"_blank\">Protocol S1</a>.</p>", "links"=>[], "tags"=>["overview"], "article_id"=>265012, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g001", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Schematic_overview_of_the_methods_/265012", "title"=>"Schematic overview of the methods.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:23:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/595075"], "description"=>"<p><a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#pntd-0001760-g006\" target=\"_blank\">Figure 6</a> shows the areas categorised as complete evidence consensus on dengue absence in dark green, through to areas with indeterminate evidence consensus on dengue status in yellow. Stars indicate one off indigenous transmission events with fewer than 50 cases. The map displays evidence consensus at Admin2 (county) level for France and Croatia and Admin0 (country) level for all other countries.</p>", "links"=>[], "tags"=>["dengue"], "article_id"=>265565, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g006", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evidence_consensus_on_dengue_virus_presence_and_absence_in_Europe_/265565", "title"=>"Evidence consensus on dengue virus presence and absence in Europe.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:32:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/595378"], "description"=>"<p>All classes refer to consensus on dengue presence unless otherwise stated. Supplementary evidence was available for all countries in this table, while questionnaire responses were received from Cameroon, Burkina Faso, Malawi, Guinea-Bissau, Gabon and Côte d'Ivoire.</p>", "links"=>[], "tags"=>["changes", "africa", "supplementary"], "article_id"=>265867, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.t002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evidence_consensus_class_changes_in_Africa_as_a_result_of_including_supplementary_evidence_and_questionnaire_responses_/265867", "title"=>"Evidence consensus class changes in Africa as a result of including supplementary evidence and questionnaire responses.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-08-07 01:37:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/594786"], "description"=>"<p><a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#pntd-0001760-g003\" target=\"_blank\">Figure 3</a> shows the areas categorised as complete evidence consensus on dengue absence in dark green, through to areas with indeterminate evidence consensus on dengue status in yellow, then up to areas with complete evidence consensus on dengue presence in dark red. Stars indicate one off indigenous transmission events with fewer than 50 cases. The map displays evidence consensus at Admin1 (state) level for Argentina and Uruguay, Admin2 (county) level for the United States of America and Admin0 (country) level for all other countries.</p>", "links"=>[], "tags"=>["dengue"], "article_id"=>265276, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evidence_consensus_on_dengue_virus_presence_and_absence_in_the_Americas_/265276", "title"=>"Evidence consensus on dengue virus presence and absence in the Americas.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:27:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/312098", "https://ndownloader.figshare.com/files/312149", "https://ndownloader.figshare.com/files/312203", "https://ndownloader.figshare.com/files/312274", "https://ndownloader.figshare.com/files/312331", "https://ndownloader.figshare.com/files/312372", "https://ndownloader.figshare.com/files/312422", "https://ndownloader.figshare.com/files/312471", "https://ndownloader.figshare.com/files/312646"], "description"=>"<div><h3>Background</h3><p>Dengue is a growing problem both in its geographical spread and in its intensity, and yet current global distribution remains highly uncertain. Challenges in diagnosis and diagnostic methods as well as highly variable national health systems mean no single data source can reliably estimate the distribution of this disease. As such, there is a lack of agreement on national dengue status among international health organisations. Here we bring together all available information on dengue occurrence using a novel approach to produce an evidence consensus map of the disease range that highlights nations with an uncertain dengue status.</p> <h3>Methods/Principal Findings</h3><p>A baseline methodology was used to assess a range of evidence for each country. In regions where dengue status was uncertain, additional evidence types were included to either clarify dengue status or confirm that it is unknown at this time. An algorithm was developed that assesses evidence quality and consistency, giving each country an evidence consensus score. Using this approach, we were able to generate a contemporary global map of national-level dengue status that assigns a relative measure of certainty and identifies gaps in the available evidence.</p> <h3>Conclusion</h3><p>The map produced here provides a list of 128 countries for which there is good evidence of dengue occurrence, including 36 countries that have previously been classified as dengue-free by the World Health Organization and/or the US Centers for Disease Control. It also identifies disease surveillance needs, which we list in full. The disease extents and limits determined here using evidence consensus, marks the beginning of a five-year study to advance the mapping of dengue virus transmission and disease risk. Completion of this first step has allowed us to produce a preliminary estimate of population at risk with an upper bound of 3.97 billion people. This figure will be refined in future work.</p> </div>", "links"=>[], "tags"=>["refining", "spatial", "limits", "dengue", "evidence-based"], "article_id"=>121561, "categories"=>["Cancer", "Biotechnology"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>["https://dx.doi.org/10.1371/journal.pntd.0001760.s001", "https://dx.doi.org/10.1371/journal.pntd.0001760.s002", "https://dx.doi.org/10.1371/journal.pntd.0001760.s003", "https://dx.doi.org/10.1371/journal.pntd.0001760.s004", "https://dx.doi.org/10.1371/journal.pntd.0001760.s005", "https://dx.doi.org/10.1371/journal.pntd.0001760.s006", "https://dx.doi.org/10.1371/journal.pntd.0001760.s007", "https://dx.doi.org/10.1371/journal.pntd.0001760.s008", "https://dx.doi.org/10.1371/journal.pntd.0001760.s009"], "stats"=>{"downloads"=>31, "page_views"=>63, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Refining_the_Global_Spatial_Limits_of_Dengue_Virus_Transmission_by_Evidence_Based_Consensus/121561", "title"=>"Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-08-07 00:26:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/594990"], "description"=>"<p><a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#pntd-0001760-g005\" target=\"_blank\">Figure 5</a> shows the areas categorised as complete evidence consensus on dengue absence in dark green, through to areas with indeterminate evidence consensus on dengue status in yellow, then up to areas with complete evidence consensus on dengue presence in dark red. Stars indicate one off indigenous transmission events with fewer than 50 cases. The map displays evidence consensus at Admin1 (state) level for Saudi Arabia, Pakistan, India, China and South Korea and Admin0 (country) level for all other countries.</p>", "links"=>[], "tags"=>["dengue"], "article_id"=>265482, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g005", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evidence_consensus_on_dengue_virus_presence_and_absence_in_Asia_/265482", "title"=>"Evidence consensus on dengue virus presence and absence in Asia.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:31:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/594899"], "description"=>"<p><a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#pntd-0001760-g004\" target=\"_blank\">Figure 4</a> shows the areas categorised as complete evidence consensus on dengue absence in dark green, through to areas with indeterminate evidence consensus on dengue status in yellow, then up to areas with complete evidence consensus on dengue presence in dark red. Stars indicate one off indigenous transmission events with fewer than 50 cases. The map displays evidence consensus at Admin1 (state) level for Saudi Arabia and Pakistan and Admin0 (country) level for all other countries.</p>", "links"=>[], "tags"=>["dengue"], "article_id"=>265385, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g004", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evidence_consensus_on_dengue_virus_presence_and_absence_in_Africa_/265385", "title"=>"Evidence consensus on dengue virus presence and absence in Africa.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:29:45"}
  • {"files"=>["https://ndownloader.figshare.com/files/595174"], "description"=>"<p><a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0001760#pntd-0001760-g007\" target=\"_blank\">Figure 7</a> shows the areas categorised as complete evidence consensus on dengue absence in dark green, through to areas with indeterminate evidence consensus on dengue status in yellow, then up to areas with complete evidence consensus on dengue presence in dark red. Stars indicate one off indigenous transmission events with fewer than 50 cases. The map displays evidence consensus at Admin1 (state) level China, Admin2 (county) level for Australia and Admin0 (country) level for all other countries.</p>", "links"=>[], "tags"=>["dengue"], "article_id"=>265663, "categories"=>["Biotechnology", "Infectious Diseases"], "users"=>["Oliver J. Brady", "Peter W. Gething", "Samir Bhatt", "Jane P. Messina", "John S. Brownstein", "Anne G. Hoen", "Catherine L. Moyes", "Andrew W. Farlow", "Thomas W. Scott", "Simon I. Hay"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0001760.g007", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evidence_consensus_on_dengue_virus_presence_and_absence_in_Australasia_/265663", "title"=>"Evidence consensus on dengue virus presence and absence in Australasia.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-08-07 01:34:23"}

PMC Usage Stats | Further Information

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Relative Metric

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