Khafaie Morteza Abdullatif, Rahim Fakher
Social Determinants of Health Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Osong Public Health Res Perspect. 2020 Apr;11(2):74-80. doi: 10.24171/j.phrp.2020.11.2.03.
OBJECTIVES: Case fatality rates (CFR) and recovery rates are important readouts during epidemics and pandemics. In this article, an international analysis was performed on the ongoing coronavirus disease 2019 (COVID-19) pandemic. METHODS: Data were retrieved from accurate databases according to the user's guide of data sources for patient registries, CFR and recovery rates were calculated for each country. A comparison of CFR between countries with total cases ≥ 1,000 was observed for 12 and 23 March. RESULTS: Italy's CFR was the highest of all countries studied for both time points (12 March, 6.22% versus 23 March, 9.26%). The data showed that even though Italy was the only European country reported on 12 March, Spain and France had the highest CFR of 6.16 and 4.21%, respectively, on 23 March, which was strikingly higher than the overall CFR of 3.61%. CONCLUSION: Obtaining detailed and accurate medical history from COVID-19 patients, and analyzing CFR alongside the recovery rate, may enable the identification of the highest risk areas so that efficient medical care may be provided. This may lead to the development of point-of-care tools to help clinicians in stratifying patients based on possible requirements in the level of care, to increase the probabilities of survival from COVID-19 disease.
目的:病死率(CFR)和康复率是流行病和大流行期间的重要指标。本文对正在进行的2019冠状病毒病(COVID-19)大流行进行了国际分析。 方法:根据患者登记数据源用户指南从准确的数据库中检索数据,计算每个国家的病死率和康复率。观察了3月12日和23日总病例数≥1000的国家之间的病死率比较。 结果:在两个时间点,意大利的病死率在所有研究国家中都是最高的(3月12日为6.22%,3月23日为9.26%)。数据显示,尽管3月12日报告的欧洲国家只有意大利,但3月23日西班牙和法国的病死率分别高达6.16%和4.21%,明显高于3.61%的总体病死率。 结论:从COVID-19患者那里获取详细准确的病史,并结合康复率分析病死率,可能有助于识别高风险地区,从而提供有效的医疗护理。这可能会促使开发即时护理工具,以帮助临床医生根据护理水平的可能需求对患者进行分层,提高COVID-19疾病的生存概率。
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