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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540003/ https://www.ncbi.nlm.nih.gov/pubmed/26306203 http://dx.doi.org/10.1038/sdata.2015.12 |
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author | 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. |
author_facet | 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. |
author_sort | Battle, Katherine E. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4540003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45400032015-08-24 Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 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. Sci Data Data Descriptor 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. Nature Publishing Group 2015-08-18 /pmc/articles/PMC4540003/ /pubmed/26306203 http://dx.doi.org/10.1038/sdata.2015.12 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor 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. Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 |
title | Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 |
title_full | Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 |
title_fullStr | Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 |
title_full_unstemmed | Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 |
title_short | Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013 |
title_sort | global database of matched plasmodium falciparum and p. vivax incidence and prevalence records from 1985–2013 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540003/ https://www.ncbi.nlm.nih.gov/pubmed/26306203 http://dx.doi.org/10.1038/sdata.2015.12 |
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