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The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa.

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Title: The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa.
Authors: Dalrymple U; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.; Department of Zoology, University of Oxford, Zoology Research and Administration Building, 11a Mansfield Road, Oxford, OX1 3SZ, UK., Cameron E; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Arambepola R; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Battle KE; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Chestnutt EG; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Keddie SH; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Twohig KA; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Pfeffer DA; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.; Global and Tropical Health Division, Menzies School of Health Research and Charles Darwin University, Darwin, Australia., Gibson HS; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Weiss DJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK., Bhatt S; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.; School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Hospital, Norfolk Place, London, W2 1PG, UK., Gething PW; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK. peter.gething@bdi.ox.ac.uk.
Source: Malaria journal [Malar J] 2019 Jun 11; Vol. 18 (1), pp. 195. Date of Electronic Publication: 2019 Jun 11.
Publication Type: Journal Article; Systematic Review
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
Database: MEDLINE Ultimate
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  Data: The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa.
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  Data: <searchLink fieldCode="AU" term="%22Dalrymple+U%22">Dalrymple U</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.; Department of Zoology, University of Oxford, Zoology Research and Administration Building, 11a Mansfield Road, Oxford, OX1 3SZ, UK.<br /><searchLink fieldCode="AU" term="%22Cameron+E%22">Cameron E</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Arambepola+R%22">Arambepola R</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Battle+KE%22">Battle KE</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Chestnutt+EG%22">Chestnutt EG</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Keddie+SH%22">Keddie SH</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Twohig+KA%22">Twohig KA</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Pfeffer+DA%22">Pfeffer DA</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.; Global and Tropical Health Division, Menzies School of Health Research and Charles Darwin University, Darwin, Australia.<br /><searchLink fieldCode="AU" term="%22Gibson+HS%22">Gibson HS</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Weiss+DJ%22">Weiss DJ</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.<br /><searchLink fieldCode="AU" term="%22Bhatt+S%22">Bhatt S</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK.; School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Hospital, Norfolk Place, London, W2 1PG, UK.<br /><searchLink fieldCode="AU" term="%22Gething+PW%22">Gething PW</searchLink>; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, OX3 7LF, UK. peter.gething@bdi.ox.ac.uk.
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