Thermal thresholds increase the vulnerability of coastal Los Angeles to temperature-linked increases in West Nile virus transmission

This data contributed to the statistical/machine learning analysis in Skaff et al. Thermal thresholds increase the vulnerability of coastal Los Angeles to temperature-linked increases in West Nile virus transmission. It contains the environmental predictors that were included in the random forest and mediation analyses presented in the study. Though not included here, mosquito surveillance data used in the study are publicly accessible by data request to CalSurv: https://calsurv.org/assets/files/calsurv_data_policy.pdf. Also, The location, onset date, and hospitalization date of human West Nile non-neuroinvasive and neuroinvasive disease cases can be requested directly from the California Department of Public Health, Infectious Diseases Branch, Surveillance and Statistics Section https://www.cdph.ca.gov/CDPH Document Library/ControlledForms/cdph9078.pdf. The code used to conduct this analysis is available on GitHub: https://github.com/nskaff/Skaff_et_al_WNV_thermal_thresholds.git.

本数据集为Skaff等人发表的《热阈值加剧洛杉矶沿海地区对温度关联型西尼罗河病毒（West Nile virus）传播增强的脆弱性》研究中的统计与机器学习分析提供了数据支撑。本数据集包含该研究中随机森林（random forest）分析与中介分析（mediation analysis）所采用的全部环境预测因子。尽管本数据集未收录研究使用的蚊子监测数据，但该类数据可通过向CalSurv提交数据申请公开获取，相关政策文件可参阅：https://calsurv.org/assets/files/calsurv_data_policy.pdf。此外，研究涉及的人类西尼罗河病毒非神经侵袭性与神经侵袭性疾病病例的位置、发病日期及住院日期，可直接向加利福尼亚州公共卫生部传染病科监测与统计科提出申请获取，相关申请表单可参阅：https://www.cdph.ca.gov/CDPH Document Library/ControlledForms/cdph9078.pdf。本分析所用代码已公开托管于GitHub，仓库地址为：https://github.com/nskaff/Skaff_et_al_WNV_thermal_thresholds.git。