基于 LinkedIn 对 COVID-19 大流行期间美国医疗保健动态适应性的分析

Theodoros Daglis, Konstantinos P. Tsagarakis
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引用次数: 0

摘要

尽管大流行病对全球环境产生了副作用,但它也为医疗保健行业创造了商机。本研究利用 LinkedIn 数据研究了在 COVID-19 框架下运营的美国医疗保健公司的特点。我们收集并分析了 2022 年 5 月的 304 家公司和 2023 年 6 月的 333 家公司的数据,这些公司都与 COVID-19 相关,并在美国有 LinkedIn 存在。本研究通过州一级的统计措施和分析,调查了这些公司的显著特征。其中一些公司早在大流行之前就已成立,但在应对危机时将其定位转向了 COVID-19,而其他许多公司则是明确因大流行而出现的。这些公司主要活跃在 "健康、保健和健身"、"医院和医疗保健"、"非营利组织和管理"、"医疗实践 "以及 "公民和社会组织 "等领域。我们显示,大多数公司和员工都位于加利福尼亚州,而在第一次数据挖掘和第二次数据挖掘中,大多数追随者都在华盛顿州和加利福尼亚州的公司中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic

A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic

Despite its side effects on the global environment, the pandemic has created business opportunities for healthcare. This work utilizes LinkedIn data to examine the features of U.S. healthcare companies that operate within a COVID-19 framework. Data from 304 companies in May 2022 and 333 companies in June 2023 from COVID-19-related companies with LinkedIn presence in the U.S. has been collected and analyzed. This study investigates the distinct characteristics of these companies through statistical measures and analysis at the state level. Some of these companies were established long before the pandemic but shifted their orientation toward COVID-19 in response to the crisis, while many others emerged explicitly due to the pandemic. These companies are primarily active in “Health, wellness and fitness,” “Hospital and healthcare,” Nonprofit organization and management,” “Medical practice,” and “Civic and Social organizations.” We show most companies and employees are located in California, and most followers are in the companies in Washington in the first and California in the second data mining.

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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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