M. Gorris, L. Cat, M. Matlock, O. Ogunseitan, K. Treseder, J. Randerson, C. Zender
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引用次数: 5
摘要
我们编制了美国西南部三个州的球孢子菌病(谷热)病例数据库。目前,从2000年到2015年,亚利桑那州、加利福尼亚州和内华达州的县级每月病例计数是可用的。我们从每个州的公共卫生机构收集了这些数据。谷热病例数据库可以在GitHub上找到,网址是https://github.com/valleyfever/valleyfevercasedata。该数据库可用于检查谷热病例数与假设的解释变量(如环境条件、社会决定因素、人类行为、职业活动、公共政策或其他风险因素)之间的关系。我们的目标是为这个数据库提供定期更新,并在数据可用时包括更多的州。资助声明:m.e. Gorris获得了国防部(DoD)国防科学与工程研究生奖学金(32 CFR 168a)的支持。M. E. Gorris, L. A. Cat和M. Matlock感谢加州大学欧文分校数据科学计划的资助和支持。L. A. Cat感谢加州大学墨西哥分校倡议的资助和支持。马特洛克也得到了水UCI和UCI研究生部的支持。K. K. Treseder项目由美国国家科学基金会(EAR-1411942和DEB-1457160)和美国能源部、科学办公室、生物与环境研究办公室(BER)资助,项目编号为DE-PS02-09ER09-25和DE-SC001641。J. T. Randerson得到了Gordon and Betty Moore基金会(gbmf# 3269)、NASA土壤水分和跨学科科学计划以及美国能源部科学办公室RUBISCO科学重点领域的支持。C. S. Zender感谢Borrego Valley捐赠基金和DOE ACME DE-SC0012998的支持。
Coccidioidomycosis (Valley Fever) Case Data for the Southwestern United States
We compiled a coccidioidomycosis (Valley fever) case database for three states in the southwestern United States (US). Currently, county-level, monthly case counts are available from 2000–2015 for Arizona, California, and Nevada. We collected these data from each respective state public health agency. The Valley fever case database is available on GitHub, at https://github.com/valleyfever/valleyfevercasedata . This database may be used to examine relationships between the number of Valley fever cases and hypothesized explanatory variables such as environmental conditions, social determinants, human behavior, occupational activities, public policies, or other risk factors. We aim to provide regular updates to this database and include more states as data become available. Funding statement: M. E. Gorris received support from a Department of Defense (DoD), National Defense Science & Engineering Graduate Fellowship (32 CFR 168a). M. E. Gorris, L. A. Cat, and M. Matlock thank the UC Irvine Data Science Initiative for their funding and support. L. A. Cat acknowledges funding and support from the UC-Mexico Initiative. M. Matlock is also supported by Water UCI and the UCI Graduate Division. K. K. Treseder is supported by US NSF (EAR-1411942 and DEB-1457160) and the US Department of Energy, Office of Science, Office of Biological and Environmental Research (BER), under Award Numbers DE-PS02-09ER09-25 and DE-SC001641. J. T. Randerson received support from the Gordon and Betty Moore Foundation (GBMF#3269), NASA Soil Moisture and Interdisciplinary Science Program, and the U.S. Dept. of Energy Office of Science RUBISCO Science Focus Area. C. S. Zender acknowledges support from the Borrego Valley Endowment Fund and DOE ACME DE-SC0012998.