Can Airborne Fungal Spores Predict Covid and Flu Surges?

Synopsis
Key Takeaways
- Airborne fungal spores can predict flu and Covid-19 surges.
- Increased spore levels correlate with rising infection rates.
- Environmental factors play a significant role in respiratory viral infections.
- Proactive monitoring may aid public health systems.
- Findings highlight new avenues for targeted health alerts.
New Delhi, June 20 (NationPress) A recent study indicates that monitoring fungal spores in outdoor air can serve as a predictive tool for surges in flu and Covid-19 infections. Researchers from Lynn University in Florida, USA, found a significant correlation between airborne concentrations of fungal spores—excluding pollen—and increases in flu and Covid-19 cases.
When levels of these airborne fungal spores rose, researchers frequently observed a corresponding spike in infections within a few days.
The predictive models developed in this study demonstrated high accuracy for forecasting flu and Covid-19 outbreaks, particularly during the fall season. Notably, pollen did not exhibit the same predictive capability.
“Our findings suggest that monitoring airborne fungal spore levels could provide public health systems with an early warning signal for short-term outbreaks of flu and Covid-19,” stated Felix E. Rivera-Mariani, Associate Professor of Biochemistry at Lynn University.
He further emphasized the importance of environmental factors—not solely person-to-person transmission—in influencing the occurrence of respiratory viral infections. This insight could pave the way for targeted public health alerts, especially in regions with elevated outdoor airborne fungal levels,” Rivera-Mariani added.
The research team analyzed daily data from 2022 to 2024 across two significant health regions in Puerto Rico—San Juan and Caguas.
The dataset included the daily incidence rates of individuals diagnosed with Covid-19 and flu, alongside measurements of airborne fungal spores and pollen taken on the same days.
Using statistical and machine learning models, the scientists investigated whether elevated levels of these environmental factors could forecast spikes in flu and Covid-19 cases within the same week or the subsequent week (known as the lag effect).
“These findings might inform environmental risk alerts, particularly benefiting vulnerable groups such as the elderly and individuals with asthma or allergic rhinitis,” Rivera-Mariani concluded.
This study was presented at ASM Microbe 2025 in Los Angeles, during the annual meeting of the American Society for Microbiology.