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Rapid Influenza Testing in an Austere Setting, Mongolia.

Chuluunbaatar Maisetseg1, Daramragchaa Ulziimaa1, Alexandra Sack1,2,3

  • 1Institute of Veterinary Medicine, Ulaanbaatar, Mongolia.

Open Forum Infectious Diseases
|December 20, 2017
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Summary

Rapid influenza diagnostic tests (RIDTs) showed 75% sensitivity and 100% specificity in rural Mongolia. Widespread use of these tests could significantly decrease influenza illness and deaths.

Keywords:
MongoliaRIDTinfluenza

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Area of Science:

  • Infectious disease diagnostics
  • Public health interventions
  • Medical technology adoption

Background:

  • Rural healthcare in Mongolia faces infrastructure challenges.
  • Influenza remains a significant public health concern globally and in Mongolia.
  • Access to rapid diagnostic tools is limited in resource-constrained settings.

Purpose of the Study:

  • To evaluate the feasibility and performance of rapid influenza diagnostic tests (RIDTs) in rural Mongolian clinical settings.
  • To assess the accuracy of the Quidel Sofia Influenza A Test under real-world conditions.
  • To explore the potential impact of RIDTs on influenza management in Mongolia.

Main Methods:

  • A prospective study conducted between 2015-2017 involving rural Mongolian clinicians.
  • Training and support provided for the adoption of the Quidel Sofia Influenza A Test.
  • Performance evaluation based on sensitivity and specificity metrics.

Main Results:

  • The Quidel Sofia Influenza A Test demonstrated high specificity (100%) and good sensitivity (75%) when used by Mongolian clinicians.
  • Successful adoption of RIDTs was achieved despite infrastructure limitations.
  • The study confirmed the utility of RIDTs in a challenging environment.

Conclusions:

  • Rapid influenza diagnostic tests, specifically the Quidel Sofia Influenza A Test, are effective and accurate in rural Mongolian healthcare settings.
  • Widespread availability of RIDTs has the potential to significantly reduce influenza-related morbidity and mortality in Mongolia.
  • The findings support the integration of advanced diagnostic technologies into resource-limited healthcare systems.