Tong Daniel Q, Gorris Morgan E, Gill Thomas E, Ardon-Dryer Karin, Wang Julian, Ren Ling
Department of Atmospheric, Oceanic and Earth Sciences Center for Spatial Information Science and Systems George Mason University Fairfax VA USA.
Information Systems and Modeling & Center for Nonlinear Studies Los Alamos National Laboratory Los Alamos NM USA.
Geohealth. 2022 Aug 1;6(8):e2022GH000642. doi: 10.1029/2022GH000642. eCollection 2022 Aug.
We discuss several issues raised by Comrie (2021, https://doi.org/10.1029/2021GH000504), which uses a crowdsourced data set to study dust storms and coccidioidomycosis (Valley fever). There is inconsistency in the term "dust storm" used by science communities. The dust data from National Oceanic and Atmospheric Administration Storm Events Database are from diverse sources, unsuitable for assessing dust-coccidioidomycosis relationships. Population exposure to dust or needs to consider the frequency, magnitude, and duration of dust events. Given abundant evidence that dust storms are a viable driver to transport pathogens, it is in best public interest to advocate dust storms may put people at risk for contracting Valley fever.
