There is a newer version of the record available.

Published August 16, 2019 | Version 0
Dataset Open

Expansion of coccidioidomycosis (Valley fever) endemic regions in the United States in response to climate change: projections of disease incidence

  • 1. University of California, Irvine

Description

This file contains estimations of coccidioidomycosis (Valley fever) incidence data in cases per 100,000 population per year for the contemporary time period and projections throughout the 21st century in response to RCP4.5 and RCP8.5 climate scenarios, associated with the publication:

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

The data is reported for each county in the conterminous US with its associated FIPS code (Column 1), county name (Column 2), state FIPS code (Column 3), and state name (Column 4). Column 5 contains the estimation of mean annual Valley fever incidence averaged from 2000-2015. Column 6-8 contain the estimations of mean annual Valley fever incidence for the 11-year averages surrounding years 2035, 2065, and 2095 for RCP4.5 climate scenario. Likewise, Columns 9-11 contain the estimations of mean annual Valley fever incidence for the 11-year averages surrounding years 2035, 2065, and 2095 for the RCP8.5 climate scenario. 

Details about how the incidence data was calculated may be read in the Methods subsection of the paper under "Modeling of current and future mean annual Valley fever incidence". The data provided here was used to create Figure 7 and Supporting Information Figure S5. Counties that have non-zero incidence are considered endemic by our climate-constrained niche model, so this data may also be used to create portions of Figures 3, 4, and S3.  

Files

Gorrisetal2019_valleyfeverinc_RCP4585_v0.csv

Files (151.0 kB)

Name Size Download all
md5:7b1aa4a08de02d46e80675a80b175c65
151.0 kB Preview Download