Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991-2019.
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| Title: | Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991-2019. |
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| Authors: | Rathmes G; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Rumisha SF; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK. susan.rumisha@bdi.ox.ac.uk.; Telethon Kids Institute, Perth, Australia. susan.rumisha@bdi.ox.ac.uk., Lucas TCD; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Twohig KA; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Python A; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Center for Data Science, Zhejiang University, Hangzhou, 310058, China., Nguyen M; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Nandi AK; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Keddie SH; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Collins EL; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Rozier JA; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Gibson HS; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Chestnutt EG; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Battle KE; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Humphreys GS; WorldWide Anti-Malarial Resistance Network (WWARN), Oxford, UK.; Infectious Diseases Data Observatory (IDDO), Oxford, UK.; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK., Amratia P; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Arambepola R; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Bertozzi-Villa A; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Institute for Disease Modeling, Bellevue, WA, USA., Hancock P; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Millar JJ; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Symons TL; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Bhatt S; Imperial College London, London, UK., Cameron E; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Telethon Kids Institute, Perth, Australia.; Curtin University, Perth, Australia., Guerin PJ; WorldWide Anti-Malarial Resistance Network (WWARN), Oxford, UK.; Infectious Diseases Data Observatory (IDDO), Oxford, UK.; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK., Gething PW; Telethon Kids Institute, Perth, Australia.; Curtin University, Perth, Australia., Weiss DJ; Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.; Telethon Kids Institute, Perth, Australia.; Curtin University, Perth, Australia. |
| Source: | Malaria journal [Malar J] 2020 Oct 20; Vol. 19 (1), pp. 374. Date of Electronic Publication: 2020 Oct 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101139802 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-2875 (Electronic) Linking ISSN: 14752875 NLM ISO Abbreviation: Malar J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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