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The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence.

Brendon GohKoek ChingRicardo J Soares MagalhãesSilvia CiocchettaMichael D EdsteinRafael Maciel-de-FreitasMaggy T Sikulu-Lord
Published in: PLoS neglected tropical diseases (2021)
The potential of RS as a surveillance tool for malaria and arbovirus vectors and MIRS for the diagnosis and surveillance of arboviruses is yet to be assessed. NIRS capacity as a surveillance tool for malaria and arbovirus vectors should be validated under field conditions, and its potential as a diagnostic tool for malaria and arboviruses needs to be evaluated. It is recommended that all 3 techniques evaluated simultaneously using multiple machine learning techniques in multiple epidemiological settings to determine the most accurate technique for each application. Prior to their field application, a standardised protocol for spectra collection and data analysis should be developed. This will harmonise their application in multiple field settings allowing easy and faster integration into existing disease control platforms. Ultimately, development of rapid and cost-effective point-of-care diagnostic tools for malaria and arboviruses based on spectroscopy techniques may help combat current and future outbreaks of these infectious diseases.
Keyphrases
  • plasmodium falciparum
  • public health
  • infectious diseases
  • data analysis
  • machine learning
  • aedes aegypti
  • high resolution
  • randomized controlled trial
  • artificial intelligence
  • zika virus
  • quantum dots