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High concentrations of particulate matter (PM) in the air during Dust Events (DEs) are silently impacting the health of people without their awareness. It has been demonstrated that exposure to increased levels of PM can increase the susceptibility to respiratory, circulatory, mental and other diseases due to inflammation. In addition, living in a city with Köppen climate classification type BW (arid) and subsequently with frequent high levels of PM could have a negative impact on the population’s health. There are very few studies available in the southwestern United States pertaining to the associations between exposure to atmospheric aerosol after DEs and hospitalizations. Therefore, we will do a conceptualization of a predictive model to analyze the health effects of DEs in a society with Köppen climate classification type BW. We will do a representation of a system in order to understand how the DEs, hospital admissions, elevated PM levels, socioeconomic status (SES), and demographic factors work together. Preliminary results indicate that there are more admissions in all primary diagnoses during a DE than in a regular day.

Conceptualization of a Predictive Model for Analysis of the Health Outcomes of Dust Events in a Society with Köppen Climate Classification BW