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Abstract:
Thirty plates per month for 13 months were exposed in patients' work-leisure-sleep environments in central New York State. Results show the months of highest mold prevalence in decreasing order were October, September, May and July. These months are also typically our high pollen months. The categories of highest prevalence in decreasing order were yeats, mycelia sterilia, Cladosporium, Penicillium, Rhodotorula, bacteria, Alternaria, Aureobasidium, Epicoccum, Aspergillus, Geotrichum, Basidiomycetes, Actinomycetes and Phoma. These were present in at least 14% of all 390 plates. The present study includes a discussion of the value of these findings in an allergy practice.
Insights
Mold prevalence in New York peaked in fall and late spring, coinciding with high pollen seasons. Key airborne molds identified include yeasts, Cladosporium, and Penicillium, offering insights for allergy management.
Area of Science:
- Environmental Science
- Microbiology
- Allergy Immunology
Background:
- Airborne mold spores are significant allergens.
- Understanding seasonal and environmental mold distribution is crucial for allergy diagnosis and treatment.
Purpose of the Study:
- To identify the prevalence and types of airborne molds in patients' environments.
- To correlate mold seasonality with pollen seasons.
- To assess the clinical relevance of findings for allergy practices.
Main Methods:
- Monthly exposure of 30 culture plates over 13 months in central New York.
- Identification and categorization of airborne microorganisms collected.
- Analysis of prevalence data by month and microbial type.
Main Results:
- Highest mold prevalence observed in October, September, May, and July.
- Common molds included yeasts, mycelia sterilia, Cladosporium, and Penicillium.
- These peak months align with typical high pollen seasons.
Conclusions:
- Seasonal airborne mold patterns in New York correlate with high pollen periods.
- Identification of prevalent mold genera provides valuable data for allergy practitioners.
- Environmental mold monitoring can inform allergy management strategies.