2020
DOI: 10.5334/ohd.31
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Coccidioidomycosis (Valley Fever) Case Data for the Southwestern United States

Abstract: We compiled a coccidioidomycosis (Valley fever) case database for three states in the southwestern United States (US). Currently, county-level, monthly case counts are available from 2000–2015 for Arizona, California, and Nevada. We collected these data from each respective state public health agency. The Valley fever case database is available on GitHub, at https://github.com/valleyfever/valleyfevercasedata. This database may be used to examine relationships between the number of Valley fever cases and hypoth… Show more

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Cited by 5 publications
(17 citation statements)
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“…To both estimate the contemporary levels of disease incidence and calculate a baseline cost estimate of the health impacts from valley fever, we used a valley fever case dataset previously compiled for the southwestern United States (Gorris et al 2018). This dataset included monthly, county-level cases for 2000-15 in Arizona, California, Nevada, New Mexico, and Utah.…”
Section: A Valley Fever Case Datamentioning
confidence: 99%
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“…To both estimate the contemporary levels of disease incidence and calculate a baseline cost estimate of the health impacts from valley fever, we used a valley fever case dataset previously compiled for the southwestern United States (Gorris et al 2018). This dataset included monthly, county-level cases for 2000-15 in Arizona, California, Nevada, New Mexico, and Utah.…”
Section: A Valley Fever Case Datamentioning
confidence: 99%
“…To estimate the current spatial extent of valley fever endemicity following Gorris et al (2019), we used surface temperature and precipitation data from the Precipitation-Elevation Regressions on Independent Slopes Model (PRISM; Daly et al 2008), available as 4-km gridded products. We calculated county-level climate averages by spatially averaging the gridded PRISM climate data within each county using QGIS (https://www.qgis.org).…”
Section: Contemporary Climate Datamentioning
confidence: 99%
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