Estimated Burden of Fungal Infections in Oman

Abdullah M S Al-Hatmi1,2,3, Mohammed A Al-Shuhoumi4, David W Denning5

  • 1Department of microbiology, Natural & Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman.

Insights

Serious fungal infections affect an estimated 79,520 people annually in Oman, highlighting a significant public health concern. This study estimates fungal disease burden, revealing high rates of vaginal candidiasis and allergic respiratory disease.

Area of Science:

  • Medical Mycology
  • Epidemiology
  • Public Health

Background:

  • Fungi are significant opportunistic pathogens causing superficial to fatal disseminated infections.
  • Fungal diseases are not reportable in Oman, leading to under-documentation and unknown disease burden.
  • Existing diagnostic methods (culture, microscopy) are suboptimal for case detection.

Purpose of the Study:

  • To estimate the incidence and prevalence of serious fungal infections in Oman.
  • To identify the most common fungal diseases affecting the Omani population.
  • To highlight the need for improved epidemiological studies and diagnostics.

Main Methods:

  • Utilized heterogeneous and robust data sources to estimate disease frequencies.
  • Calculated annual incidence and prevalence rates for various fungal infections.
  • Excluded fungal skin infections, chronic fungal rhinosinusitis, and otitis externa from primary estimates.

Main Results:

  • An estimated 79,520 people (1.7% of the population) are affected by serious fungal infections annually.
  • Vaginal candidiasis and allergic respiratory disease (fungal asthma) are the most prevalent conditions.
  • Estimated 244 cases of invasive aspergillosis and 230 of candidemia annually (5.4 and 5.0 per 100,000, respectively).

Conclusions:

  • Fungal infections represent a substantial, yet underestimated, health burden in Oman.
  • Urgent need for local epidemiological studies using sensitive diagnostics to accurately determine the burden of fungal diseases.
  • Current diagnostic limitations hinder effective disease surveillance and management.

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