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      Expansion of Coccidioidomycosis Endemic Regions in the United States in Response to Climate Change

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          Abstract

          Coccidioidomycosis (Valley fever) is a fungal disease endemic to the southwestern United States. Across this region, temperature and precipitation influence the extent of the endemic region and number of Valley fever cases. Climate projections for the western United States indicate that temperatures will increase and precipitation patterns will shift, which may alter disease dynamics. We estimated the area potentially endemic to Valley fever using a climate niche model derived from contemporary climate and disease incidence data. We then used our model with projections of climate from Earth system models to assess how endemic areas will change during the 21st century. By 2100 in a high warming scenario, our model predicts that the area of climate‐limited endemicity will more than double, the number of affected states will increase from 12 to 17, and the number of Valley fever cases will increase by 50%. The Valley fever endemic region will expand north into dry western states, including Idaho, Wyoming, Montana, Nebraska, South Dakota, and North Dakota. Precipitation will limit the disease from spreading into states farther east and along the central and northern Pacific coast. This is the first quantitative estimate of how climate change may influence Valley fever in the United States. Our predictive model of Valley fever endemicity may provide guidance to public health officials to establish disease surveillance programs and design mitigation efforts to limit the impacts of this disease.

          Key Points

          • We created a niche model to estimate climate limits on the spatial extent of Valley fever endemicity in the United States

          • For a high warming scenario, the area of climate‐limited endemicity will more than double by 2100, expanding northward into dry western states

          • Our predictive model of Valley fever endemic regions may help mitigate disease impacts as the disease spreads into new regions

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            A new scenario framework for climate change research: the concept of shared socioeconomic pathways

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              Uncertainty in climate change projections: the role of internal variability

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                Author and article information

                Contributors
                mgorris@uci.edu
                Journal
                Geohealth
                Geohealth
                10.1002/(ISSN)2471-1403
                GH2
                GeoHealth
                John Wiley and Sons Inc. (Hoboken )
                2471-1403
                10 October 2019
                October 2019
                : 3
                : 10 ( doiID: 10.1002/gh2.v3.10 )
                : 308-327
                Affiliations
                [ 1 ] Department of Earth System Science University of California Irvine CA USA
                [ 2 ] Department of Ecology and Evolutionary Biology University of California Irvine CA USA
                Author notes
                [*] [* ] Correspondence to: M. E. Gorris,

                mgorris@ 123456uci.edu

                Author information
                https://orcid.org/0000-0003-3949-4274
                https://orcid.org/0000-0003-2847-6935
                https://orcid.org/0000-0003-0129-8024
                https://orcid.org/0000-0001-6559-7387
                Article
                GH2130 2019GH000209
                10.1029/2019GH000209
                7007157
                32159021
                5ddd13b6-ffea-49cf-b477-7e61db7a7e03
                ©2019. The Authors.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 June 2019
                : 16 August 2019
                : 20 August 2019
                Page count
                Figures: 7, Tables: 1, Pages: 20, Words: 9191
                Funding
                Funded by: Gordon and Betty Moore Foundation , open-funder-registry 10.13039/100000936;
                Award ID: GBMF3269
                Funded by: Borrego Valley Endowment Fund
                Funded by: NASA , open-funder-registry 10.13039/100000104;
                Funded by: NSF , open-funder-registry 10.13039/100000001;
                Award ID: EAR‐1411942
                Award ID: DEB‐1457160
                Funded by: Department of Defense (DoD) , open-funder-registry 10.13039/100000005;
                Award ID: 32 CFR 168a
                Categories
                Geohealth
                Impacts of Climate Change: Human Health
                Public Health
                Atmospheric Composition and Structure
                Biosphere/Atmosphere Interactions
                Aerosols and Particles
                Pollution: Urban and Regional
                Biogeosciences
                Modeling
                Biosphere/Atmosphere Interactions
                Informatics
                Modeling
                Natural Hazards
                Physical Modeling
                Oceanography: Biological and Chemical
                Aerosols
                Paleoceanography
                Aerosols
                Research Article
                Research Articles
                Custom metadata
                2.0
                October 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.4 mode:remove_FC converted:09.01.2020

                coccidioidomycosis,valley fever,mycoses,infectious diseases,human health,niche model

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