Department of Chinese Medicine, Chi Mei Medical Center, Tainan, Taiwan.
Department of Senior Welfare and Service, Southern Taiwan University of Science and Technology, Tainan, Taiwan.
Medicine (Baltimore). 2023 Mar 17;102(11):e33274. doi: 10.1097/MD.0000000000033274.
The new coronavirus disease 2019 (COVID-19) pandemic is raging worldwide. The administered vaccination has become a significant vehicle against the virus. Three hypotheses were made and required for validation: the number of vaccines administered is related to the country gross domestic product (GDP), vaccines can reduce the fatality rate (FR), and dashboards can present more meaningful information than traditionally static visualizations. Research data were downloaded from the GitHub website. The aims of this study are to verify that the number of vaccination uptakes is related to the country GDP, that vaccines can reduce FR, and that dashboards can provide more meaningful information than traditionally static visualizations.
The COVID-19 cumulative number of confirmed cases (CNCCs) and deaths were downloaded from the GitHub website for countries/regions on November 6, 2021. Four variables between January 1, 2021, and November 6, 2021, were collected, including CNCCs and deaths, GDP per capita, and vaccine doses administered per 100 people (VD100) in countries/regions. We applied the Kano model, forest plot, and choropleth map to demonstrate and verify the 3 hypotheses using correlation coefficients (CC) between vaccination and FRs. Dashboards used to display the vaccination effects were on Google Maps.
We observed that the higher the GDP, the more vaccines are administered (Association = 0.68, t = 13.14, P < .001) in countries, the FR can be reduced by administering vaccinations that are proven except for the 4 groups of Asia, Low income, Lower middle income, and South America, as well as the application (app) with dashboard-type choropleth map can be used to show the comparison of vaccination rates for countries/regions using line charts.
This research uses the Kano map, forest plot, and choropleth map to verify the 3 hypotheses and provides insights into the vaccination effect against the FR for relevant epidemic studies in the future.
新型冠状病毒病 2019（COVID-19）大流行正在全球肆虐。已接种的疫苗已成为对抗该病毒的重要手段。提出并需要验证三个假设：接种疫苗的数量与国家国内生产总值（GDP）有关，疫苗可以降低病死率（FR），仪表板可以提供比传统静态可视化更有意义的信息。研究数据从 GitHub 网站下载。本研究的目的是验证接种疫苗的数量与国家 GDP 有关，疫苗可以降低 FR，仪表板可以提供比传统静态可视化更有意义的信息。
从 GitHub 网站下载各国/地区 2021 年 11 月 6 日 COVID-19 确诊病例（CNCC）和死亡人数的累计数据。收集了 2021 年 1 月 1 日至 2021 年 11 月 6 日期间的四个变量，包括国家/地区的 CNCC 和死亡人数、人均 GDP 和每 100 人接种的疫苗剂量（VD100）。我们应用了 Kano 模型、森林图和专题地图，使用疫苗接种和 FR 之间的相关系数（CC）来展示和验证这 3 个假设。用于显示疫苗接种效果的仪表板在 Google 地图上。
我们观察到，国家的 GDP 越高，接种的疫苗就越多（关联=0.68，t=13.14，P<0.001），除了亚洲、低收入、中下收入和南美洲的 4 个组，以及应用（app）与仪表板类型的专题地图一起，可以使用折线图显示各国/地区的疫苗接种率比较。
本研究使用 Kano 图、森林图和专题地图验证了这 3 个假设，并为未来相关传染病研究提供了关于疫苗接种对 FR 影响的见解。
