Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK
Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK.
BMJ Open. 2021 Feb 3;11(2):e042034. doi: 10.1136/bmjopen-2020-042034.
We aimed to identify the country-level determinants of the severity of the first wave of the COVID-19 pandemic.
Ecological study of publicly available data. Countries reporting >25 COVID-19 related deaths until 8 June 2020 were included. The outcome was log mean mortality rate from COVID-19, an estimate of the country-level daily increase in reported deaths during the ascending phase of the epidemic curve. Potential determinants assessed were most recently published demographic parameters (population and population density, percentage population living in urban areas, population >65 years, average body mass index and smoking prevalence); economic parameters (gross domestic product per capita); environmental parameters (pollution levels and mean temperature (January-May); comorbidities (prevalence of diabetes, hypertension and cancer); health system parameters (WHO Health Index and hospital beds per 10 000 population); international arrivals; the stringency index, as a measure of country-level response to COVID-19; BCG vaccination coverage; UV radiation exposure; and testing capacity. Multivariable linear regression was used to analyse the data.
Country-level mean mortality rate: the mean slope of the COVID-19 mortality curve during its ascending phase.
Thirty-seven countries were included: Algeria, Argentina, Austria, Belgium, Brazil, Canada, Chile, Colombia, the Dominican Republic, Ecuador, Egypt, Finland, France, Germany, Hungary, India, Indonesia, Ireland, Italy, Japan, Mexico, the Netherlands, Peru, the Philippines, Poland, Portugal, Romania, the Russian Federation, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, Ukraine, the UK and the USA.
Of all country-level determinants included in the multivariable model, total number of international arrivals (beta 0.033 (95% CI 0.012 to 0.054)) and BCG vaccination coverage (-0.018 (95% CI -0.034 to -0.002)), were significantly associated with the natural logarithm of the mean death rate.
International travel was directly associated with the mortality slope and thus potentially the spread of COVID-19. Very early restrictions on international travel should be considered to control COVID-19 outbreaks and prevent related deaths.
我们旨在确定 COVID-19 大流行第一波严重程度的国家层面决定因素。
对公开数据进行的生态研究。纳入截至 2020 年 6 月 8 日报告 COVID-19 相关死亡人数>25 的国家。结果是 COVID-19 的对数平均死亡率,这是疫情曲线上升阶段报告死亡人数的国家层面每日增长率的估计。评估的潜在决定因素是最近公布的人口统计学参数(人口和人口密度、居住在城市地区的人口百分比、65 岁以上人口、平均体重指数和吸烟率);经济参数(人均国内生产总值);环境参数(污染水平和平均温度(1 月至 5 月);合并症(糖尿病、高血压和癌症的患病率);卫生系统参数(世卫组织卫生指数和每 10000 人口的医院床位);国际入境人数;作为衡量国家对 COVID-19 反应的指标的严格指数;卡介苗接种覆盖率;紫外线辐射暴露;和检测能力。多变量线性回归用于分析数据。
国家层面的平均死亡率:COVID-19 死亡率曲线上升阶段的平均斜率。
包括 37 个国家:阿尔及利亚、阿根廷、奥地利、比利时、巴西、加拿大、智利、哥伦比亚、多米尼加共和国、厄瓜多尔、埃及、芬兰、法国、德国、匈牙利、印度、印度尼西亚、爱尔兰、意大利、日本、墨西哥、荷兰、秘鲁、菲律宾、波兰、葡萄牙、罗马尼亚、俄罗斯联邦、沙特阿拉伯、南非、西班牙、瑞典、瑞士、土耳其、乌克兰、英国和美国。
在多变量模型中包含的所有国家层面决定因素中,国际入境人数总数(β 0.033(95%CI 0.012 至 0.054))和卡介苗接种覆盖率(-0.018(95%CI-0.034 至-0.002))与平均死亡的自然对数显著相关率。
国际旅行与死亡率斜率直接相关,因此可能与 COVID-19 的传播有关。应尽早考虑限制国际旅行,以控制 COVID-19 爆发并防止相关死亡。