Both authors are with the Division of Community Health and Humanities, Faculty of Medicine, Memorial University, St John's, Newfoundland and Labrador, Canada.
Am J Public Health. 2019 Sep;109(9):1288-1293. doi: 10.2105/AJPH.2019.305186. Epub 2019 Jul 18.
To explore complex associations among demographic factors, risk factors, health care, and fatality rates of Middle East respiratory syndrome coronavirus (MERS-CoV) in the Kingdom of Saudi Arabia. We based this study on analysis of a publicly accessible line listing of 1256 MERS-CoV cases (2013 to October 2018) available on the World Health Organization's Web site. For analyses of demographic factors (e.g., age, gender), access to health care, promptness of laboratory services, risk factors (comorbidity, exposure to camels and persons with MERS-CoV), occupation (health care), and outcome (fatality), we used descriptive statistics, risk ratio (RR), and the Pearson χ test. Presence of comorbidity (RR = 3; 95% confidence interval [CI] = 2.2, 3.9), being male (RR = 1.6; 95% CI = 1.2, 2.1), exposure to dromedary camels (RR = 1.6; 95% CI = 1.3, 2.3), and consumption of camel milk (RR = 1.5; 95% CI = 0.9, 1.7) can significantly increase risk for fatality. Health care workers have significantly lower fatality ( < .001) than the rest of the persons with MERS-CoV. Policies that promote health awareness for the high-risk population and their prompt seeking of health care should be considered. Publicly accessible line lists of infectious diseases such as MERS-CoV can be valuable sources for epidemiological analysis.
为了探索在沙特阿拉伯王国中人口统计学因素、危险因素、医疗保健和中东呼吸综合征冠状病毒（MERS-CoV）死亡率之间的复杂关联。我们基于对世界卫生组织网站上公开提供的 1256 例 MERS-CoV 病例（2013 年至 2018 年 10 月）的分析进行了这项研究。对于人口统计学因素（如年龄、性别）、医疗保健获取情况、实验室服务的及时性、危险因素（合并症、骆驼和 MERS-CoV 患者接触情况）、职业（医疗保健）和结局（死亡率）的分析，我们使用了描述性统计、风险比（RR）和 Pearson χ 检验。存在合并症（RR=3；95%置信区间 [CI]=2.2，3.9）、男性（RR=1.6；95% CI=1.2，2.1）、接触单峰驼（RR=1.6；95% CI=1.3，2.3）和食用骆驼奶（RR=1.5；95% CI=0.9，1.7）可显著增加死亡风险。与其余 MERS-CoV 患者相比，医护人员的死亡率显著降低（<0.001）。应考虑制定促进高风险人群健康意识并及时寻求医疗保健的政策。像 MERS-CoV 这样的传染病公开可获取的病例列表可以成为流行病学分析的有价值资源。
