Covid-19 Dataset: Worldwide spread log including countries first case and first death
Covid-19 Dataset: Worldwide spread log including countries first case and first death
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DOI：
10.1016/j.dib.2020.106173
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发表时间：
2020-10-01
期刊：
影响因子：
1.2
通讯作者：
Abujar, Sheikh
中科院分区：
文献类型：
--
作者：
Ali, Hasmot;Hossain, Md. Fahad;Abujar, Sheikh
本文介绍了冠状病毒传播的历史记录。冠状病毒从一个国家传播到另一个国家的持续时间可以在这个数据集中看到，并且可以通过这个数据集预测未来的流行病。它高度依赖于变量的神秘数量，这是这些数据集的主要核心。此数据集的信息收集自可信网站、本地和国际流行报纸。该冠状病毒数据集不仅有助于追踪冠状病毒的传播途径，还可用于预测未来类似流行病的可能传播途径。此数据集包括186个国家于二零一九年十一月十七日至二零二零年五月十六日期间与COVID-19疫情相关的有用数据，其中8个独特变量提供COVID-19传播性质的信息。数据集主要集中在两个主要领域，第一个是首例，包括首例日期，第一天确诊病例数，首例患者年龄，最后访问国家的信息，另一个是首例死亡信息，包括每个国家的首例死亡日期和第一个死亡患者的年龄。该数据集还可以使用机器学习应用程序执行一系列预测，例如-病毒传播的速度，影响率，死亡率，死亡率，并能够表示其他流行病之间的比较。使用该数据集，可以更早地预测任何类似的大流行传播，并采取必要的预防措施。(C)2020作者（S）爱思唯尔公司出版。
The article represents coronavirus spread log history. The duration, coronavirus takes to spread from one country to another country, could be seen in this dataset and could predicted the same for future pandemics through this dataset. It is highly dependent on the cabalistic number of variables that is the main navel of these datasets. Information for this dataset is collected from trusted websites, local and international popular newspapers. This coronavirus dataset not only help to track the spreading route of coronavirus but also can be used for predicting the possible spreading route of similar future pandemics. This dataset consists of 186 countries' useful data related to COVID-19 pandemic from November 17, 2019, to May 16, 2020, with 8 unique variables that provide the information of the nature of the spread of COVID-19. The datasets mainly focus on two major fields, first one is First Case which consists of information of Date of First Case(s), Number of confirm Case(s) at First Day, Age of the patient(s) of First Case, Last Visited Country and the other one First Death information consist of Date of First Death and Age of the Patient who died first for every Country mentioning corresponding Continent. This dataset also can perform a bunch of predictions using Machine Learning applications, like -how fast the virus is spreading, affect rate, death rate, death rate and able to represent comparison between other pandemics. Using this dataset, any similar pandemic spreadness could be predicted earlier and necessary precaution measures could be taken. (C) 2020 The Author(s). Published by Elsevier Inc.