Detection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis.

Journal: Malaria journal
Published Date: Oct 7, 2019

Abstract

BACKGROUND: Epidemiological surveys of malaria currently rely on microscopy, polymerase chain reaction assays (PCR) or rapid diagnostic test kits for Plasmodium infections (RDTs). This study investigated whether mid-infrared (MIR) spectroscopy coupled with supervised machine learning could constitute an alternative method for rapid malaria screening, directly from dried human blood spots.

Authors

  • Emmanuel P Mwanga
    Environmental Health and Ecological Science Thematic Group, Ifakara Health Institute, Morogoro, Tanzania. emwanga@ihi.or.tz.
  • Elihaika G Minja
    Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
  • Emmanuel Mrimi
    Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
  • Mario González Jiménez
    School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
  • Johnson K Swai
    Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
  • Said Abbasi
    Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
  • Halfan S Ngowo
    Environmental Health and Ecological Science Thematic Group, Ifakara Health Institute, Morogoro, Tanzania.
  • Doreen J Siria
    Environmental Health and Ecological Science Thematic Group, Ifakara Health Institute, Morogoro, Tanzania.
  • Salum Mapua
    Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
  • Caleb Stica
    Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.
  • Marta F Maia
    KEMRI Wellcome Trust Research Programme, P.O. Box 230, Kilifi, 80108, Kenya.
  • Ally Olotu
    KEMRI Wellcome Trust Research Programme, P.O. Box 230, Kilifi, 80108, Kenya.
  • Maggy T Sikulu-Lord
    Queensland Alliance of Agriculture and Food Innovation, The University of Queensland, Brisbane, Queensland, Australia.
  • Francesco Baldini
    Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, G12 8QQ, UK.
  • Heather M Ferguson
    1 Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow , Glasgow G61 1QH , UK.
  • Klaas Wynne
    School of Chemistry, University of Glasgow, Glasgow, G12 8QQ, UK.
  • Prashanth Selvaraj
    Institute for Disease Modeling, Bellevue, WA, 98005, USA.
  • Simon A Babayan
    Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, Scotland, UK.
  • Fredros O Okumu
    Environmental Health and Ecological Science Thematic Group, Ifakara Health Institute, Morogoro, Tanzania.

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