Please login first
The seasonality of upper respiratory tract infections and their relationship to asthma
* 1 , 2
1  School of Science, Technology and Engineering Management, St. Thomas University, Miami Gardens, FL 33054, USA
2  Miami Dade College, Wolfson Campus, Miami, FL 33132

Abstract:

The seasonality of upper respiratory tract infections and their relationship to asthma

Alejo1 and D. Quesada2

1 Miami Dade College, Wolfson Campus, Miami FL

2 School of Science, Technology, and Engineering Management, St. Thomas University, Miami Gardens, FL

The impact of weather conditions on both human health and the spread of diseases is a question addressed by Biometeorology and the answer is very important for health management and disease control. Upper respiratory tract infections due to different viruses (respiratory syncytial virus (RSV), rhinovirus influenza, human metapneumovirus) and bacteria (corynebacterium diphtheriae, chlamidia pneumonia) show seasonal patterns, mostly associated with the changes in the immune response in different seasons. Such infections often trigger asthma episodes that might be difficult to treat, especially in elderly and young children. This project is aimed at describing and modeling the pattern of seasonality in South and Central Florida due to both asthma and upper respiratory tract infections, when each one is considered the primary diagnosis at the Emergency Room (ER). The Department of Health of Florida via the Florida Asthma Coalition provided the health data used in this study. As a result of the statistical analysis, the peak of seasonality for Central and South Florida is centered in late January and early February. Compared with the rest of continental USA, this shift in time is associated with cold conditions arriving to South Florida in these periods. Cold and dry air is affecting the lining of epithelial cells from the respiratory tract in addition to the thermal stress due to the convective loss during respiration. Together, these conditions affect the response of the immune system and facilitate the reproduction of infective agents. A mathematical model based on the SEIR epidemic model is adapted to account for both, recovery from infections and a further development of asthma symptoms. The results might be very beneficial to medical practitioners as well as the pave the way to study potential effects due to global climate changes and the spread of different vector-borne diseases in addition to the spread of allergies.

Top