Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project
Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project
BACKGROUND: Open access to databases of information generated by the research community can synergize individual efforts and are epitomized by the genome mapping projects. Open source models for outputs of scientific research funded by tax-payers and charities are becoming the norm. This has yet to be extended to malaria epidemiology and control. METHODS: The exhaustive searches and assembly process for a global database of malaria parasite prevalence as part of the Malaria Atlas Project (MAP) are described. The different data sources visited and how productive these were in terms of availability of parasite rate (PR) data are presented, followed by a description of the methods used to assemble a relational database and an associated geographic information system. The challenges facing spatial data assembly from varied sources are described in an effort to help inform similar future applications. RESULTS: At the time of writing, the MAP database held 3,351 spatially independent PR estimates from community surveys conducted since 1985. These include 3,036 Plasmodium falciparum and 1,347 Plasmodium vivax estimates in 74 countries derived from 671 primary sources. More than half of these data represent malaria prevalence after the year 2000. CONCLUSION: This database will help refine maps of the global spatial limits of malaria and be the foundation for the development of global malaria endemicity models as part of MAP. A widespread application of these maps is envisaged. The data compiled and the products generated by MAP are planned to be released in June 2009 to facilitate a more informed approach to global malaria control.
animals, databases, factual geography, humans, malaria/epidemiology/parasitology, plasmodium/classification/isolation & purification, prevalence
17
Guerra, C.A.
112d8194-b5fd-43f0-a836-8617cb4c6fcd
Hay, S.I.
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Lucioparedes, L.S.
bd13a496-c53e-4d1f-8bf6-d91910d698d6
Gikandi, P.W.
1952a0cc-9b84-4d50-bffe-5242118c78f1
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Noor, A.M.
241236c3-43df-47b0-bcab-ff7c25318cc6
Snow, R.W.
1df934dd-70f4-4bf1-8a98-7feb0207d796
February 2007
Guerra, C.A.
112d8194-b5fd-43f0-a836-8617cb4c6fcd
Hay, S.I.
18d621e0-2813-4c05-b2b7-09df3f24aca7
Lucioparedes, L.S.
bd13a496-c53e-4d1f-8bf6-d91910d698d6
Gikandi, P.W.
1952a0cc-9b84-4d50-bffe-5242118c78f1
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Noor, A.M.
241236c3-43df-47b0-bcab-ff7c25318cc6
Snow, R.W.
1df934dd-70f4-4bf1-8a98-7feb0207d796
Guerra, C.A., Hay, S.I., Lucioparedes, L.S., Gikandi, P.W., Tatem, A.J., Noor, A.M. and Snow, R.W.
(2007)
Assembling a global database of malaria parasite prevalence for the Malaria Atlas Project.
Malaria Journal, 6 (17), .
(doi:10.1186/1475-2875-6-17).
(PMID:17306022)
Abstract
BACKGROUND: Open access to databases of information generated by the research community can synergize individual efforts and are epitomized by the genome mapping projects. Open source models for outputs of scientific research funded by tax-payers and charities are becoming the norm. This has yet to be extended to malaria epidemiology and control. METHODS: The exhaustive searches and assembly process for a global database of malaria parasite prevalence as part of the Malaria Atlas Project (MAP) are described. The different data sources visited and how productive these were in terms of availability of parasite rate (PR) data are presented, followed by a description of the methods used to assemble a relational database and an associated geographic information system. The challenges facing spatial data assembly from varied sources are described in an effort to help inform similar future applications. RESULTS: At the time of writing, the MAP database held 3,351 spatially independent PR estimates from community surveys conducted since 1985. These include 3,036 Plasmodium falciparum and 1,347 Plasmodium vivax estimates in 74 countries derived from 671 primary sources. More than half of these data represent malaria prevalence after the year 2000. CONCLUSION: This database will help refine maps of the global spatial limits of malaria and be the foundation for the development of global malaria endemicity models as part of MAP. A widespread application of these maps is envisaged. The data compiled and the products generated by MAP are planned to be released in June 2009 to facilitate a more informed approach to global malaria control.
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More information
Published date: February 2007
Keywords:
animals, databases, factual geography, humans, malaria/epidemiology/parasitology, plasmodium/classification/isolation & purification, prevalence
Organisations:
Geography & Environment, PHEW – P (Population Health)
Identifiers
Local EPrints ID: 344419
URI: http://eprints.soton.ac.uk/id/eprint/344419
ISSN: 1475-2875
PURE UUID: 7fc61a4d-8903-44f7-afcf-65b188dc246d
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Date deposited: 08 Feb 2013 16:53
Last modified: 15 Mar 2024 03:43
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Contributors
Author:
C.A. Guerra
Author:
S.I. Hay
Author:
L.S. Lucioparedes
Author:
P.W. Gikandi
Author:
A.M. Noor
Author:
R.W. Snow
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