2018/03/30: Version 0.1 released: First pre-release with LICENSE
We compiled a coccidioidomycosis (Valley fever) case database for 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 health agency. This database may be used to examine relationships between the number of Valley fever cases and any hypothesized explanatory variable, including environmental conditions, human activities, or other health effects. We aim to keep this database current and expand this database as more states begin Valley fever surveillance programs.
Comma-separated values (CSV) monthly data from 2000-2015 for Arizona, California, and Nevada.
To share data, please submit a pull request. Alternatively, email Morgan Gorris at [email protected] to share data or become a GitHub contributing member.
There are multiple considerations to take when analyzing Valley fever case data. The manuscript (fxm add link) describes the methods of collection, quality control, and limitations of the data. A paper that employs this dataset has been submitted to Open Health Data:
None yet. Stay tuned.
This database, manuscript, and accompanying software was developed by Morgan Gorris with support from a Department of Defense (DoD), National Defense Science & Engineering Graduate Fellowship (32 CFR 168a).
- Article Gorris, M.E., Treseder, K.K., Zender, C.S., and Randerson, J.T., 2019. Expansion of Coccidioidomycosis Endemic Regions in the United States in Response to Climate Change. GeoHealth 3(10): pp.307–327.
- Article Gorris, M.E., Cat, L.A., Zender, C.S., Treseder, K.K., and Randerson, J.T., 2018. Coccidioidomycosis dynamics in relation to climate in the southwestern United States. GeoHealth 2(1): pp.6–24.
For bugs, questions and discussions please use the GitHub Issues.
Copyright (C) 2017—2020 Regents of the University of California.
This work is licensed under a Creative Commons Attribution 4.0 International License.
