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Updated: Jun 28, 2026

Symptom Assessment of Patients with Allergic Rhinitis Using an Allergen Exposure Chamber
Published on: March 3, 2023
Meteorological factors, aeroallergens and asthma-related visits in Kuwait: a 12-month retrospective study
Jafar A Qasem1, Hassan Nasrallah, Bader N Al-Khalaf
1Department of Applied Medical Sciences, College of Health Sciences, Al-Ahmadi, Kuwait. ja.qsem@paaet.edu.kw
Background:
The increasing prevalence of asthma in many countries has been related to weather factors and aeroallergen concentrations, but this has not been studied in Kuwait. We evaluated the effect of meteorological factors and the occurrence of aerobiologicals on the number of asthma cases in Kuwait.
Methods:
The number of daily asthma visits to the allergy center and emergency department at Al-Sabha Hospital for 1 year were examined on a monthly basis for correlation with major metereological factors (temperature, relative humidity, rain, wind speed and direction). Spore and pollen counts were collected hourly.
Results:
A total of 4353 patients received asthma treatment during the year. The highest pollen count was in the month of September with a maximum relative humidity of 47% and no precipitation, but with a high mean temperature of 39.7 degrees C. Pollen counts were higher in the late summer (September) and occurred with a high patient visit to the allergy center. Fungal spore counts were significantly higher in early winter (December). The high fungal spore count seemed related to with high relative humidity and high precipitation with a low mean average temperature of 19.7 degrees C. The increase number of patients with bronchial asthma visiting an emergency clinic during December was significantly associated with high aerial counts for fungal spores (P<.03), and the months of September and October were more significant for pollen.
Conclusion:
This study indicates that meteorological factors, aeroallergen concentrations and asthma-related visits are interrelated. The results may prove useful in the generation of hypotheses and development of designs for more comprehensive, individual-based epidemiological studies.
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