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. 2022 Mar 23;10(2):e01483-21. doi: 10.1128/spectrum.01483-21

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Copyright © 2022 Kollath et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

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FIG 1 — The effects of PM10 on the number of Valley fever cases. (A) Contour plot of predicted Valley fever cases across the entire range of PM10 values (micrograms per cubic meter). Red means that there is a strong positive effect of PM10 on cases (i.e., increased infections), and blue means that there is a weak to negative effect of PM10 on cases (i.e., reduced infections). (B) Raw monthly PM10 data plotted against monthly Valley fever data added together from all three counties. Locally estimated scatterplot smoothing (LOESS) smoother line used in order to visualize relationships.