malariaAtlas: an R interface to global malariometric data hosted by the Malaria Atlas Project.
malariaAtlas: an R interface to global malariometric data hosted by the Malaria Atlas Project.
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DOI:
10.1186/s12936-018-2500-5
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发表时间:
2018-10-05
期刊:
影响因子:
3
通讯作者:
Gething PW
中科院分区:
文献类型:
--
作者:
Pfeffer DA;Lucas TCD;May D;Harris J;Rozier J;Twohig KA;Dalrymple U;Guerra CA;Moyes CL;Thorn M;Nguyen M;Bhatt S;Cameron E;Weiss DJ;Howes RE;Battle KE;Gibson HS;Gething PW
The Malaria Atlas Project (MAP) has worked to assemble and maintain a global open-access database of spatial malariometric data for over a decade. This data spans various formats and topics, including: geo-located surveys of malaria parasite rate; global administrative boundary shapefiles; and global and regional rasters representing the distribution of malaria and associated illnesses, blood disorders, and intervention coverage. MAP has recently released malariaAtlas, an R package providing a direct interface to MAP’s routinely-updated malariometric databases and research outputs. The current paper reviews the functionality available in malariaAtlas and highlights its utility for spatial epidemiological analysis of malaria. malariaAtlas enables users to freely download, visualise and analyse global malariometric data within R. Currently available data types include: malaria parasite rate and vector occurrence point data; subnational administrative boundary shapefiles; and a large suite of rasters covering a diverse range of metrics related to malaria research. malariaAtlas is here used in two mock analyses to illustrate how this data may be incorporated into a standard R workflow for spatial analysis. malariaAtlas is the first open-access R-interface to malariometric data, providing a new and reproducible means of accessing such data within a freely available and commonly used statistical software environment. In this way, the malariaAtlas package aims to contribute to the environment of data-sharing within the malaria research community. The online version of this article (10.1186/s12936-018-2500-5) contains supplementary material, which is available to authorized users.
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DOI:
10.1016/s0140-6736(17)31758-0
发表时间:
2017-11-11
期刊:
Lancet (London, England)
影响因子:
--
作者:
Golding N;Burstein R;Longbottom J;Browne AJ;Fullman N;Osgood-Zimmerman A;Earl L;Bhatt S;Cameron E;Casey DC;Dwyer-Lindgren L;Farag TH;Flaxman AD;Fraser MS;Gething PW;Gibson HS;Graetz N;Krause LK;Kulikoff XR;Lim SS;Mappin B;Morozoff C;Reiner RC Jr;Sligar A;Smith DL;Wang H;Weiss DJ;Murray CJL;Moyes CL;Hay SI
通讯作者:
Hay SI
影响因子:
4.9
作者:
Amoah B;Giorgi E;Heyes DJ;van Burren S;Diggle PJ
通讯作者:
Diggle PJ
影响因子:
16.6
作者:
Howes, Rosalind E.;Patil, Anand P.;Piel, Frederic B.;Nyangiri, Oscar A.;Kabaria, Caroline W.;Gething, Peter W.;Zimmerman, Peter A.;Barnadas, Celine;Beall, Cynthia M.;Gebremedhin, Amha;Menard, Didier;Williams, Thomas N.;Weatherall, David J.;Hay, Simon I.
通讯作者:
Hay, Simon I.
影响因子:
3
作者:
Gething PW;Patil AP;Smith DL;Guerra CA;Elyazar IR;Johnston GL;Tatem AJ;Hay SI
通讯作者:
Hay SI
影响因子:
3.7
作者:
Cuadros, Diego F.;Branscum, Adam J.;Garcia-Ramos, Gisela
通讯作者:
Garcia-Ramos, Gisela