Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University (UAEU); Big Data Analytics Center (BIDAC), United Arab Emirates University (UAEU).
College of Engineering and Information Technology, Ajman University.
J Infect Public Health. 2021 May;14(5):638-646. doi: 10.1016/j.jiph.2021.01.019. Epub 2021 Feb 8.
A novel coronavirus (COVID-19) has taken the world by storm. The disease has spread very swiftly worldwide. A timely clue which includes the estimation of the incubation period among COVID-19 patients can allow governments and healthcare authorities to act accordingly.
to undertake a review and critical appraisal of all published/preprint reports that offer an estimation of incubation periods for COVID-19.
This research looked for all relevant published articles between the dates of December 1, 2019, and April 25, 2020, i.e. those that were related to the COVID-19 incubation period. Papers were included if they were written in English, and involved human participants. Papers were excluded if they were not original (e.g. reviews, editorials, letters, commentaries, or duplications).
COVID-19 Open Research Dataset supplied by Georgetown's Centre for Security and Emerging Technology as well as PubMed and Embase via Arxiv, medRxiv, and bioRxiv.
A data-charting form was jointly developed by the two reviewers (NZ and EA), to determine which variables to extract. The two reviewers independently charted the data, discussed the results, and updated the data-charting form.
Screening was undertaken 44,000 articles with a final selection of 25 studies referring to 18 different experimental projects related to the estimation of the incubation period of COVID-19. The majority of extant published estimates offer empirical evidence showing that the incubation period for the virus is a mean of 7.8 days, with a median of 5.01 days, which falls into the ranges proposed by the WHO (0-14 days) and the ECDC (2-12 days). Nevertheless, a number of authors proposed that quarantine time should be a minimum of 14 days and that for estimates of mortality risks a median time delay of 13 days between illness and mortality should be under consideration. It is unclear as to whether any correlation exists between the age of patients and the length of time they incubate the virus.
一种新型冠状病毒（COVID-19）席卷全球。该疾病在全球迅速传播。一个及时的线索，包括对 COVID-19 患者潜伏期的估计，可以使政府和医疗保健当局采取相应的措施。
对所有已发表/预印本报告进行回顾和批判性评估，这些报告提供了 COVID-19 的潜伏期估计。
这项研究在 2019 年 12 月 1 日至 2020 年 4 月 25 日期间寻找了所有相关的已发表文章，即与 COVID-19 潜伏期相关的文章。如果文章是用英文写的，并且涉及人类参与者，则将其纳入研究。如果文章不是原始文章（例如评论、社论、信件、评论或重复文章），则将其排除在外。
乔治城大学安全与新兴技术中心提供的 COVID-19 开放研究数据集，以及通过 Arxiv、medRxiv 和 bioRxiv 在 PubMed 和 Embase 上获得的数据。
两位审查员（NZ 和 EA）共同开发了一份数据图表表格，以确定要提取哪些变量。两位审查员独立地图表数据，讨论结果，并更新数据图表表格。
对 44000 篇文章进行了筛选，最终选择了 25 篇研究文章，这些文章涉及 18 个不同的实验项目，涉及 COVID-19 潜伏期的估计。现有的大多数已发表的估计结果提供了经验证据，表明该病毒的潜伏期平均为 7.8 天，中位数为 5.01 天，这落入了世界卫生组织（0-14 天）和欧洲疾病预防控制中心（2-12 天）提出的范围。然而，一些作者提出，检疫时间至少应为 14 天，并且在估计死亡率风险时，应考虑从发病到死亡的中位数时间延迟为 13 天。目前尚不清楚患者的年龄与他们感染病毒的时间长短之间是否存在任何相关性。
