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Recent and Forecasted Increases in Coccidioidomycosis Incidence Linked to Hydroclimatic Swings, California, USA
Simon K. Camponuri
1, Alexandra K. Heaney
1, Gail Sondermeyer Cooksey, Duc J. Vugia, Seema Jain, Daniel L. Swain, John Balmes, Justin V. Remais, and Jennifer R. Head
Author affiliation: University of California, Berkeley, California, USA (S.K. Camponuri, J. Balmes, J.V. Remais); University of California, San Diego, California, USA (A. K. Heaney); California Department of Public Health, Richmond, California, USA (G.S. Cooksey, D.J. Vugia); San Francisco Department of Public Health, San Francisco, California, USA (S. Jain); University of California Agriculture and Natural Resources, Davis, California, USA (D.L. Swain); University of California, Los Angeles, California, USA (D.L. Swain); NSF National Center for Atmospheric Research, Boulder, Colorado, USA (D.L. Swain); University of California, San Francisco (J. Balmes); University of Michigan, Ann Arbor, Michigan, USA (J.R. Head)
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Figure 2

Figure 2. Regional monthly coccidioidomycosis cases, January 1, 2015–March 31, 2025, in study of recent and forecasted increases in coccidioidomycosis incidence linked to hydroclimatic swings, California, USA. A) Bay Area; B) Central Coast; C) Eastern California; D) Northern California; E) Northern San Joaquin Valley; F) Southern Coast; G) Southern Inland; H) Southern Sacramento Valley; I) Southern San Joaquin Valley. Black dots indicate confirmed cases reported during 2015–2022, green line represents the ensemble model fit to the observed case data, and the purple line indicates the ensemble model predicted (April 1, 2023–March 31, 2024) and forecasted (April 1, 2024–March 31, 2025) cases during April 1, 2023–March 31, 2025. Shading represents 90% prediction intervals.
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