Alimohamadi Yousef, Taghdir Maryam, Sepandi Mojtaba
Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Iran University of Medical Sciences, Tehran, Iran.
Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
J Prev Med Public Health. 2020 May;53(3):151-157. doi: 10.3961/jpmph.20.076. Epub 2020 Mar 20.
The outbreak of coronavirus disease 2019 (COVID-19) is one of the main public health challenges currently facing the world. Because of its high transmissibility, COVID-19 has already caused extensive morbidity and mortality in many countries throughout the world. An accurate estimation of the basic reproduction number (R0) of COVID-19 would be beneficial for prevention programs. In light of discrepancies in original research on this issue, this systematic review and meta-analysis aimed to estimate the pooled R0 for COVID-19 in the current outbreak.
International databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched to identify studies conducted regarding the R0 of COVID-19. Articles were searched using the following keywords: "COVID-19" and "basic reproduction number" or "R0." The heterogeneity among studies was assessed using the I2 index, the Cochran Q test, and T2. A random-effects model was used to estimate R0 in this study.
The mean reported R0 in the identified articles was 3.38±1.40, with a range of 1.90 to 6.49. According to the results of the random-effects model, the pooled R0 for COVID-19 was estimated as 3.32 (95% confidence interval, 2.81 to 3.82). According to the results of the meta-regression analysis, the type of model used to estimate R0 did not have a significant effect on heterogeneity among studies (p=0.81).
Considering the estimated R0 for COVID-19, reducing the number of contacts within the population is a necessary step to control the epidemic. The estimated overall R0 was higher than the World Health Organization estimate.
2019年冠状病毒病(COVID-19)疫情是当前全球面临的主要公共卫生挑战之一。由于其高传播性,COVID-19已在世界许多国家造成广泛发病和死亡。准确估计COVID-19的基本繁殖数(R0)将有助于预防计划。鉴于对此问题的原始研究存在差异,本系统评价和荟萃分析旨在估计当前疫情中COVID-19的合并R0。
检索国际数据库(包括谷歌学术、科学Direct、PubMed和Scopus)以识别关于COVID-19的R0的研究。使用以下关键词搜索文章:“COVID-19”和“基本繁殖数”或“R0”。使用I2指数、 Cochr an Q检验和T2评估研究间的异质性。本研究采用随机效应模型估计R0。
已识别文章中报告的平均R0为3.38±1.40,范围为1.90至6.49。根据随机效应模型的结果,COVID-19的合并R0估计为3.32(95%置信区间,2.81至3.82)。根据荟萃回归分析的结果,用于估计R0的模型类型对研究间的异质性没有显著影响(p = 0.81)。
考虑到COVID-19的估计R0,减少人群中的接触次数是控制疫情的必要步骤。估计的总体R0高于世界卫生组织的估计值。