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Airborne Fungal Spores Predict Flu and COVID-19 Surges

Presented at ASM Microbe 2025, the research suggests integrating spore monitoring into outbreak forecasts to give health systems early warnings of viral spikes.

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Overview

  • Researchers led by Félix E. Rivera-Mariani analyzed daily fungal spore and virus data from 2022 to 2024 in Puerto Rico’s San Juan and Caguas health regions.
  • Statistical and machine learning models showed that rises in airborne fungal spores preceded flu and COVID-19 case spikes within days, especially during the fall season.
  • Pollen concentrations did not exhibit the same predictive relationship with respiratory virus infections.
  • Findings highlight environmental exposures as valuable early indicators for outbreak forecasts, which could support risk alerts for elderly and respiratory-sensitive populations.
  • Next steps include evaluating whether spore levels correlate with severe outcomes such as hospitalizations and testing the approach in other geographic regions.