Steven G. Ullmann
University of Miami
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Featured researches published by Steven G. Ullmann.
Environmental Health Perspectives | 2009
Porter Hoagland; Di Jin; Lara Y. Polansky; Barbara Kirkpatrick; Gary J. Kirkpatrick; Lora E. Fleming; Andrew Reich; Sharon Watkins; Steven G. Ullmann; Lorraine C. Backer
Background Algal blooms of Karenia brevis, a harmful marine algae, occur almost annually off the west coast of Florida. At high concentrations, K. brevis blooms can cause harm through the release of potent toxins, known as brevetoxins, to the atmosphere. Epidemiologic studies suggest that aerosolized brevetoxins are linked to respiratory illnesses in humans. Objectives We hypothesized a relationship between K. brevis blooms and respiratory illness visits to hospital emergency departments (EDs) while controlling for environmental factors, disease, and tourism. We sought to use this relationship to estimate the costs of illness associated with aerosolized brevetoxins. Methods We developed a statistical exposure–response model to express hypotheses about the relationship between respiratory illnesses and bloom events. We estimated the model with data on ED visits, K. brevis cell densities, and measures of pollen, pollutants, respiratory disease, and intra-annual population changes. Results We found that lagged K. brevis cell counts, low air temperatures, influenza outbreaks, high pollen counts, and tourist visits helped explain the number of respiratory-specific ED diagnoses. The capitalized estimated marginal costs of illness for ED respiratory illnesses associated with K. brevis blooms in Sarasota County, Florida, alone ranged from
Medical Care Research and Review | 1998
Maurice E. Schweitzer; Michael T. French; Steven G. Ullmann; Clyde B. McCoy
0.5 to
Environment International | 2014
Porter Hoagland; Di Jin; Andrew R. Beet; Barbara Kirkpatrick; Andrew Reich; Steven G. Ullmann; Lora E. Fleming; Gary J. Kirkpatrick
4 million, depending on bloom severity. Conclusions Blooms of K. brevis lead to significant economic impacts. The costs of illness of ED visits are a conservative estimate of the total economic impacts. It will become increasingly necessary to understand the scale of the economic losses associated with K. brevis blooms to make rational choices about appropriate mitigation.
Circulation-arrhythmia and Electrophysiology | 2015
Robert J. Myerburg; Steven G. Ullmann
Lower socioeconomic status African American and Hispanic women suffer from later-stage detection of breast cancer and higher mortality rates than other American women. Low-cost mobile mammography offers one approach to mitigate this problem. This article identifies the economic costs and cost-effectiveness of operating a mobile mammography program targeting indigent populations. Costs are derived from a current mobile mammography service for a range of operating volume conditions and are applied to different detection rates to determine the cost-effectiveness of programs designed to reach different age, racial, and ethnic segments of indigent populations. Results from this work have broad policy implications and form a foundation for future economic and policy analysis in this area.
Population Health Management | 2010
Michael T. French; Jenny F. Homer; Shay Klevay; Edward Goldman; Steven G. Ullmann; Barbara E. Kahn
Human respiratory and digestive illnesses can be caused by exposures to brevetoxins from blooms of the marine alga Karenia brevis, also known as Florida red tide (FRT). K. brevis requires macro-nutrients to grow; although the sources of these nutrients have not been resolved completely, they are thought to originate both naturally and anthropogenically. The latter sources comprise atmospheric depositions, industrial effluents, land runoffs, or submerged groundwater discharges. To date, there has been only limited research on the extent of human health risks and economic impacts due to FRT. We hypothesized that FRT blooms were associated with increases in the numbers of emergency room visits and hospital inpatient admissions for both respiratory and digestive illnesses. We sought to estimate these relationships and to calculate the costs of associated adverse health impacts. We developed environmental exposure-response models to test the effects of FRT blooms on human health, using data from diverse sources. We estimated the FRT bloom-associated illness costs, using extant data and parameters from the literature. When controlling for resident population, a proxy for tourism, and seasonal and annual effects, we found that increases in respiratory and digestive illnesses can be explained by FRT blooms. Specifically, FRT blooms were associated with human health and economic effects in older cohorts (≥55 years of age) in six southwest Florida counties. Annual costs of illness ranged from
Applied Economics | 1994
Alphonse G. Holtmann; Steven G. Ullmann; Paul Fronstin; Charles F. Longino
60,000 to
Journal of Applied Gerontology | 1990
Steven G. Ullmann
700,000 annually, but these costs could exceed
Hospital Topics | 2003
Steven G. Ullmann
1.0 million per year for severe, long-lasting FRT blooms, such as the one that occurred during 2005. Assuming that the average annual illness costs of FRT blooms persist into the future, using a discount rate of 3%, the capitalized costs of future illnesses would range between
International Journal of Lean Six Sigma | 2013
Howard S. Gitlow; Qun “Amy” Zuo; Steven G. Ullmann; David Zambrana; Rafael E. Campo; David A. Lubarsky; David J. Birnbach
2 and 24 million.
Journal of Applied Gerontology | 1986
Steven G. Ullmann
Although identification and management of cardiovascular risk markers have provided important population risk insights and public health benefits, individual risk prediction remains challenging. Using sudden cardiac death risk as a base case, the complex epidemiology of sudden cardiac death risk and the substantial new funding required to study individual risk are explored. Complex epidemiology derives from the multiple subgroups having different denominators and risk profiles, while funding limitations emerge from saturation of conventional sources of research funding without foreseeable opportunities for increases. A resolution to this problem would have to emerge from new sources of funding targeted to individual risk prediction. In this analysis, we explore the possibility of a research funding strategy that would offer business incentives to the insurance industries, while providing support for unresolved research goals. The model is developed for the case of sudden cardiac death risk, but the concept is applicable to other areas of the medical enterprise.