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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Bibliographic Details
Published in:Scientific data 2015-08, Vol.2 (1), p.150012-150012, Article 150012
Main Authors: 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.
Format: Article
Language:English
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
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Summary: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)
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2015.12