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Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013
Measures of clinical incidence are necessary to help estimate the burden of a disease. Incidence is a metric not commonly measured in malariology because the longitudinal surveys required are costly and labour intensive. This database is an effort to collate published incidence records obtained usin...
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Published in: | Scientific data 2015-08, Vol.2 (1), p.150012-150012, Article 150012 |
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creator | Battle, Katherine E. Guerra, Carlos A. Golding, Nick Duda, Kirsten A. Cameron, Ewan Howes, Rosalind E. Elyazar, Iqbal R.F. Baird, J. Kevin Reiner, Robert C. Gething, Peter W. Smith, David L. Hay, Simon I. |
description | Measures of clinical incidence are necessary to help estimate the burden of a disease. Incidence is a metric not commonly measured in malariology because the longitudinal surveys required are costly and labour intensive. This database is an effort to collate published incidence records obtained using active case detection for
Plasmodium falciparum
and
Plasmodium vivax
malaria. The literature search methods, data abstraction procedures and data processing procedures are described here. A total of 1,680 spatio-temporally unique incidence records were collected for the database: 1,187 for
P. falciparum
and 493 for
P. vivax
. These data were gathered to model the relationship between clinical incidence and prevalence of infection and can be used for a variety of modelling exercises including the assessment of change in disease burden in relation to age and control interventions. The subset of data that have been used for such modelling exercises are described and identified.
Design Type(s)
observation design • epidemiological study • data integration objective
Measurement Type(s)
infectious disease incidence
Technology Type(s)
Epidemiology
Factor Type(s)
Sample Characteristic(s)
Plasmodium falciparum • Plasmodium vivax • anthropogenic habitat
Machine-accessible metadata file describing the reported data
(ISA-Tab format) |
doi_str_mv | 10.1038/sdata.2015.12 |
format | article |
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Plasmodium falciparum
and
Plasmodium vivax
malaria. The literature search methods, data abstraction procedures and data processing procedures are described here. A total of 1,680 spatio-temporally unique incidence records were collected for the database: 1,187 for
P. falciparum
and 493 for
P. vivax
. These data were gathered to model the relationship between clinical incidence and prevalence of infection and can be used for a variety of modelling exercises including the assessment of change in disease burden in relation to age and control interventions. The subset of data that have been used for such modelling exercises are described and identified.
Design Type(s)
observation design • epidemiological study • data integration objective
Measurement Type(s)
infectious disease incidence
Technology Type(s)
Epidemiology
Factor Type(s)
Sample Characteristic(s)
Plasmodium falciparum • Plasmodium vivax • anthropogenic habitat
Machine-accessible metadata file describing the reported data
(ISA-Tab format)</description><identifier>ISSN: 2052-4463</identifier><identifier>EISSN: 2052-4463</identifier><identifier>DOI: 10.1038/sdata.2015.12</identifier><identifier>PMID: 26306203</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/114/2164 ; 631/114/2406 ; 692/699/255/1629 ; 692/700/478/174 ; Data Descriptor ; Databases, Factual ; Humanities and Social Sciences ; Humans ; Incidence ; Malaria, Falciparum - epidemiology ; Malaria, Falciparum - parasitology ; Malaria, Vivax - epidemiology ; Malaria, Vivax - parasitology ; multidisciplinary ; Plasmodium falciparum ; Plasmodium vivax ; Prevalence ; Science</subject><ispartof>Scientific data, 2015-08, Vol.2 (1), p.150012-150012, Article 150012</ispartof><rights>The Author(s) 2015</rights><rights>Copyright Nature Publishing Group Aug 2015</rights><rights>Copyright © 2015, Macmillan Publishers Limited 2015 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c487t-836b7055a9243cb4c2f8f4b9363db9d4cb3662542dbcb814b1e28f755da3a68d3</citedby><cites>FETCH-LOGICAL-c487t-836b7055a9243cb4c2f8f4b9363db9d4cb3662542dbcb814b1e28f755da3a68d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1790117819/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1790117819?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53769,53771,74872</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26306203$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Battle, Katherine E.</creatorcontrib><creatorcontrib>Guerra, Carlos A.</creatorcontrib><creatorcontrib>Golding, Nick</creatorcontrib><creatorcontrib>Duda, Kirsten A.</creatorcontrib><creatorcontrib>Cameron, Ewan</creatorcontrib><creatorcontrib>Howes, Rosalind E.</creatorcontrib><creatorcontrib>Elyazar, Iqbal R.F.</creatorcontrib><creatorcontrib>Baird, J. Kevin</creatorcontrib><creatorcontrib>Reiner, Robert C.</creatorcontrib><creatorcontrib>Gething, Peter W.</creatorcontrib><creatorcontrib>Smith, David L.</creatorcontrib><creatorcontrib>Hay, Simon I.</creatorcontrib><title>Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013</title><title>Scientific data</title><addtitle>Sci Data</addtitle><addtitle>Sci Data</addtitle><description>Measures of clinical incidence are necessary to help estimate the burden of a disease. Incidence is a metric not commonly measured in malariology because the longitudinal surveys required are costly and labour intensive. This database is an effort to collate published incidence records obtained using active case detection for
Plasmodium falciparum
and
Plasmodium vivax
malaria. The literature search methods, data abstraction procedures and data processing procedures are described here. A total of 1,680 spatio-temporally unique incidence records were collected for the database: 1,187 for
P. falciparum
and 493 for
P. vivax
. These data were gathered to model the relationship between clinical incidence and prevalence of infection and can be used for a variety of modelling exercises including the assessment of change in disease burden in relation to age and control interventions. The subset of data that have been used for such modelling exercises are described and identified.
Design Type(s)
observation design • epidemiological study • data integration objective
Measurement Type(s)
infectious disease incidence
Technology Type(s)
Epidemiology
Factor Type(s)
Sample Characteristic(s)
Plasmodium falciparum • Plasmodium vivax • anthropogenic habitat
Machine-accessible metadata file describing the reported data
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Kevin</au><au>Reiner, Robert C.</au><au>Gething, Peter W.</au><au>Smith, David L.</au><au>Hay, Simon I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013</atitle><jtitle>Scientific data</jtitle><stitle>Sci Data</stitle><addtitle>Sci Data</addtitle><date>2015-08-18</date><risdate>2015</risdate><volume>2</volume><issue>1</issue><spage>150012</spage><epage>150012</epage><pages>150012-150012</pages><artnum>150012</artnum><issn>2052-4463</issn><eissn>2052-4463</eissn><abstract>Measures of clinical incidence are necessary to help estimate the burden of a disease. Incidence is a metric not commonly measured in malariology because the longitudinal surveys required are costly and labour intensive. This database is an effort to collate published incidence records obtained using active case detection for
Plasmodium falciparum
and
Plasmodium vivax
malaria. The literature search methods, data abstraction procedures and data processing procedures are described here. A total of 1,680 spatio-temporally unique incidence records were collected for the database: 1,187 for
P. falciparum
and 493 for
P. vivax
. These data were gathered to model the relationship between clinical incidence and prevalence of infection and can be used for a variety of modelling exercises including the assessment of change in disease burden in relation to age and control interventions. The subset of data that have been used for such modelling exercises are described and identified.
Design Type(s)
observation design • epidemiological study • data integration objective
Measurement Type(s)
infectious disease incidence
Technology Type(s)
Epidemiology
Factor Type(s)
Sample Characteristic(s)
Plasmodium falciparum • Plasmodium vivax • anthropogenic habitat
Machine-accessible metadata file describing the reported data
(ISA-Tab format)</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>26306203</pmid><doi>10.1038/sdata.2015.12</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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language | eng |
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source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central; Springer Nature - nature.com Journals - Fully Open Access |
subjects | 631/114/2164 631/114/2406 692/699/255/1629 692/700/478/174 Data Descriptor Databases, Factual Humanities and Social Sciences Humans Incidence Malaria, Falciparum - epidemiology Malaria, Falciparum - parasitology Malaria, Vivax - epidemiology Malaria, Vivax - parasitology multidisciplinary Plasmodium falciparum Plasmodium vivax Prevalence Science |
title | Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 |
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