Red tides, a type of harmful algal bloom, are becoming increasingly common in waters along the U.S. Gulf Coast due to warming ocean waters. Red tides are caused by the rapid growth of a type of marine microorganism that thrives in warm coastal ocean waters and contains dangerous neurotoxins. As a result, these tides pose a threat to public health. Sea spray, from breaking waves or storms during red tides, kicks aerosols into the air, and these are carried by the wind over beaches and coastal communities. During red tides, there are reports of increased incidences of human respiratory conditions, like asthma and pneumonia, among others. This research focuses on improving red tide forecasting and assessing and mitigating public health impacts. It does this through an innovative model-data integration framework designed to improve the prediction of red tides and their link to human health. Research involves an interdisciplinary team of experts in modeling, marine ecology, data science, and medicine. Southwest Florida, a hotspot for red tides with a large coastal population, serves as a testbed for the research. It was chosen because it has abundant, relevant, and accessible data for both red tide occurrences and population respiratory health. This research fills a present gap in our understanding of the link between red tides and respiratory illness burdens. Broader impacts include results that can lead to a red tide early-warning system. It also helps support adaptive strategie