2007 Progress Report: A Valley Fever (Coccidioidomycosis) Public Health Decision Support System Based on Climate and Environmental ChangesEPA Grant Number: R832754
Title: A Valley Fever (Coccidioidomycosis) Public Health Decision Support System Based on Climate and Environmental Changes
Investigators: Comrie, Andrew C. , Yool, Stephen R.
Institution: University of Arizona
EPA Project Officer: Chung, Serena
Project Period: December 14, 2005 through December 13, 2007 (Extended to December 13, 2009)
Project Period Covered by this Report: December 14, 2006 through December 13,2007
Project Amount: $265,004
RFA: Decision Support Systems Involving Climate Change and Public Health (2005) RFA Text | Recipients Lists
Research Category: Global Climate Change , Health Effects , Health , Climate Change
Develop a Valley Fever decision-support database for Arizona. This objective has not changed.
Understanding the basis of environmentally-mediated infectious disease is central to the mission of the Environmental Protection Agency. Valley fever (coccidioidomycosis) is a disease endemic to arid regions in the Western Hemisphere, and is caused by the soil-dwelling fungi Coccidioides immitis and Coccidioides posadasii. Arizona is currently experiencing significant annual incidence, exceeding significantly other climate-related diseases (e.g., Hantavirus; West Nile Virus). We develop under the present agreement in collaboration with the Arizona Department of Health Services (ADHS) a public health decision-support database that builds on these findings. We have in Year 2 worked with ADHS to secure zip code level human case data for model validation; modeled exposure date; completed climate-satellite-derived data time series correlations; and performed initial multi-layer, multi-scale remote sensing based spatial analysis of soil structure and disturbance.. The database will serve as a practical reference for health officials and as a model for health information support systems in general.
The overall aim of Year 3 is to finalize climate, surface moisture, ecological and exposure databases. We will articulate these databases with zip code and county level human cases so outcomes are useful potentially at both county and local scales. The zip code data provide a basis for fine scale studies we believe are key to understanding the operational scale of this pathogen. The fine scale work on fungal ecology and disturbance was neither proposed nor funded for the current effort. We have recruited graduate student researchers to expand the merits of this.
Journal Articles on this Report : 1 Displayed | Download in RIS Format
|Other project views:||All 29 publications||5 publications in selected types||All 5 journal articles|
||Comrie AC, Glueck MF. Assessment of climate-coccidioidomycosis model: model sensitivity for assessing climatologic effects on the risk of acquiring coccidioidomycosis. Annals of the New York Academy of Sciences 2007;1111:83-95.||