Epidemiology, Clinical Features, and Outcomes of Coccidioidomycosis, Utah, 2006-2015

On the basis of a 1957 geographic Coccidioides seropositivity survey, 3 counties in southwestern Utah, USA, were considered coccidioidomycosis-endemic, but there has been a paucity of information on the disease burden in Utah since. We report findings from a recent clinical and epidemiologic study o...

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Bibliographic Details
Published in:Emerging infectious diseases 2021-09, Vol.27 (9), p.2269-2277
Main Authors: Carey, Adrienne, Gorris, Morgan E, Chiller, Tom, Jackson, Brendan, Beadles, Wei, Webb, Brandon J
Format: Article
Language:English
Subjects:
60 APPLIED LIFE SCIENCES
Antifungal agents
Biological Science
Biopsy
Building permits
Censuses
Coccidioides
Coccidioides immitis
Coccidioides posadasii
Coccidioidomycosis
Coccidioidomycosis - epidemiology
Construction
Data warehouses
Diagnosis
Disease
Disease transmission
Earth Sciences
Epidemics
Epidemiology
Generalized linear models
Health facilities
Humans
Incidence
Infections
Mathematics
Medical laboratories
Meningitis
Original Research
Patient outcomes
Patients
Population
Precipitation
Statistical analysis
Statistics
Temperature
Utah - epidemiology
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Summary:On the basis of a 1957 geographic Coccidioides seropositivity survey, 3 counties in southwestern Utah, USA, were considered coccidioidomycosis-endemic, but there has been a paucity of information on the disease burden in Utah since. We report findings from a recent clinical and epidemiologic study of coccidioidomycosis in Utah. To describe clinical characteristics, we identified all coccidioidomycosis cases in an integrated health system in the state during 2006-2015. For epidemiologic analysis, we used cases reported to the Utah Department of Health during 2009-2015. Mean state incidence was 1.83 cases/100,000 population/year. Washington County, in southwestern Utah, had the highest incidence, 17.2 cases/100,000 population/year. In a generalized linear model with time as a fixed effect, mean annual temperature, population, and new construction were associated with regional variations in incidence. Using these variables in a spatiotemporal model, we estimated the adjusted regional variation by county to predict areas where Coccidioides infections might increase.
ISSN:1080-6040
1080-6059
DOI:10.3201/eid2709.210751