ArticleLancet regional health. Americas2024
Coccidioidomycosis seasonality in California: a longitudinal surveillance study of the climate determinants and spatiotemporal variability of seasonal dynamics, 2000-2021.
Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Impacts of land use and fallowing on coccidioidomycosis incidence in California: A population-based longitudinal study.Science advances · 2026Article
- Choice of Downscaled Climate Product Matters: Projections of Valley Fever Seasonality in a Warming Climate.GeoHealth · 2026Article
- The Epidemiology of Coccidioidomycosis (Valley fever) and the Disease Ecology ofPathogens (Basel, Switzerland) · 2025Article
- Recent and Forecasted Increases in Coccidioidomycosis Incidence Linked to Hydroclimatic Swings, California, USA.Emerging infectious diseases · 2025Article
- Characterizing the Soil Microbial Community Associated with the Fungal PathogenJournal of fungi (Basel, Switzerland) · 2025Article
- Prolonged coccidioidomycosis transmission seasons in a warming California: a Markov state transition model of shifting disease dynamics.Journal of the Royal Society, Interface · 2025Article
- Valley Fever: Fine Mineral Dust Modeling Points to High-Risk Regions and Seasons in California.Environmental health perspectives · 2025Article
- Prolonged dry seasons lengthen coccidioidomycosis transmission seasons: implications for a changing California.medRxiv : the preprint server for health sciences · 2024Article
- Recent and forecasted increases in coccidioidomycosis incidence in California linked to hydroclimatic swings.medRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Background: Coccidioidomycosis, an emerging fungal disease in the western USA, exhibits seasonal patterns that are poorly understood, including periods of strong cyclicity, aseasonal intervals, and variation in seasonal timing that have been minimally characterized, and unexplained as to their causal factors. Coccidioidomycosis incidence has increased markedly in recent years, and our limited understanding of intra- and inter-annual seasonality has hindered the identification of important drivers of disease transmission, including climate conditions. In this study, we aim to characterize coccidioidomycosis seasonality in endemic regions of California and to estimate the relationship between drought conditions and coccidioidomycosis seasonal periodicity and timing. Methods: We analysed data on all reported incident cases of coccidioidomycosis in California from 2000 to 2021 to characterize seasonal patterns in incidence, and conducted wavelet analyses to assess the dominant periodicity, power, and timing of incidence for 17 counties with consistently high incidence rates. We assessed associations between seasonality parameters and measures of drought in California using a distributed lag nonlinear modelling framework. Findings: All counties exhibited annual cyclicity in incidence (i.e., a dominant wavelet periodicity of 12 months), but there was considerable heterogeneity in seasonal strength and timing across regions and years. On average, 12-month periodicity was most pronounced in the Southern San Joaquin Valley and Central Coast. Further, the annual seasonal cycles in the Southern San Joaquin Valley and the Southern Inland regions occurred earlier than those in coastal and northern counties, yet the timing of annual cycles became more aligned among counties by the end of the study period. Drought conditions were associated with a strong attenuation of the annual seasonal cycle, and seasonal peaks became more pronounced in the 1-2 years after a drought ended. Interpretation: We conclude that drought conditions do not increase the risk of coccidioidomycosis onset uniformly across the year, but instead promote increased risk concentrated within a specific calendar period (September to December). The findings have important implications for public health preparedness, and for how future shifts in seasonal climate patterns and extreme events may impact spatial and temporal coccidioidomycosis risk. Funding: National Institutes of Health.
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