To understand the health-related impact of the heat wave on the urban population, the study reconstructed the atmospheric environmental conditions alongside the combined analysis of ozone concentrations, meteorological measurements, and social-cultural attributes. Census-based demography and ethnographic analysis were integrated with environmental information in a GIS framework to classify vulnerability of the urban population to adverse health outcomes. Diseases of interest were restricted to acute morbidities, and included hospitalizations for pulmonary diseases, cardiovascular diseases, endocrine diseases, cerebrovascular diseases, psychiatric diseases, and heat specific outcomes (e.g., dehydration, heat stress, heat stroke). Patient address was used to locate the residential location of patients and records were aggregated according to census tracts. Results from this study demonstrated the key relationships between heating, ozone concentrations, and the variability of the impact spatially and temporally. Further, the analyses revealed the geographic variability of urban vulnerability and provided information on the period of susceptibility as related to temporal frame of the heat event and the impact of additional risk factors (air quality, societal factors).