The human health effects of harmful algal blooms in Florida: The importance of high resolution data

Abstract

Harmful algal blooms (HABs) have been found to cause increases in healthcare visits for a variety of illnesses to humans if exposure and contact is sufficient. We use a more comprehensive dataset than previously implemented in prior literature to better isolate visits by healthcare facility type and proximity to bloom. Using a difference-in-differences model, our results suggest HABs cause an increase of 23.67 healthcare admissions per zip code per month across four HAB-related diagnoses. This impact is a 3,000% increase over baseline non-bloom times and an increase in monthly healthcare costs of about $250,000 for the entire impacted area. Our data include inpatient non-emergency and outpatient healthcare visits, which account for over 60% of all HAB-related healthcare visits, meaning that prior literature that has not measured those facilities has greatly underestimated HAB health impacts.

Keywords: Difference-in-differences; Disaggregated data; Florida red tide; Harmful algal blooms; Healthcare; Karenia brevis blooms.