Shriber Jennifer, Conlon Kathryn C, Benedict Kaitlin, McCotter Orion Z, Bell Jesse E
Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Climate and Health Program, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Int J Environ Res Public Health. 2017 Jun 23;14(7):680. doi: 10.3390/ijerph14070680.
Coccidioidomycosis is a fungal infection endemic to the southwestern United States, particularly Arizona and California. Its incidence has increased, potentially due in part to the effects of changing climatic variables on fungal growth and spore dissemination. This study aims to quantify the county-level vulnerability to coccidioidomycosis in Arizona and California and to assess the relationships between population vulnerability and climate variability. The variables representing exposure, sensitivity, and adaptive capacity were combined to calculate county level vulnerability indices. Three methods were used: (1) principal components analysis; (2) quartile weighting; and (3) percentile weighting. Two sets of indices, "unsupervised" and "supervised", were created. Each index was correlated with coccidioidomycosis incidence data from 2000-2014. The supervised percentile index had the highest correlation; it was then correlated with variability measures for temperature, precipitation, and drought. The supervised percentile index was significantly correlated ( < 0.05) with coccidioidomycosis incidence in both states. Moderate, positive significant associations ( < 0.05) were found between index scores and climate variability when both states were concurrently analyzed and when California was analyzed separately. This research adds to the body of knowledge that could be used to target interventions to vulnerable counties and provides support for the hypothesis that population vulnerability to coccidioidomycosis is associated with climate variability.
球孢子菌病是一种真菌感染,在美国西南部地区,尤其是亚利桑那州和加利福尼亚州为地方性疾病。其发病率有所上升,部分原因可能是气候变量变化对真菌生长和孢子传播产生的影响。本研究旨在量化亚利桑那州和加利福尼亚州各县对球孢子菌病的脆弱性,并评估人口脆弱性与气候变异性之间的关系。将代表暴露、敏感性和适应能力的变量相结合,以计算县级脆弱性指数。使用了三种方法:(1)主成分分析;(2)四分位数加权;(3)百分位数加权。创建了两组指数,即“无监督”指数和“有监督”指数。每个指数都与2000年至2014年的球孢子菌病发病率数据相关。有监督的百分位数指数相关性最高;然后将其与温度、降水和干旱的变异性度量相关联。有监督的百分位数指数与两个州的球孢子菌病发病率均显著相关(<0.05)。在同时分析两个州以及单独分析加利福尼亚州时,指数得分与气候变异性之间均发现了中度、显著的正相关关系(<0.05)。本研究增加了可用于针对脆弱县进行干预的知识体系,并为人口对球孢子菌病的脆弱性与气候变异性相关这一假设提供了支持。