PDF(Pubmed)
Abstract：
Fundamental data analysis assists in the evaluation of critical questions to discern essential facts and elicit formerly invisible evidence. In this article, we provide clarity into a subtle phenomenon observed in cancer incidences throughout the time of the COVID-19 pandemic. We analyzed the cancer incidence data from the American Cancer Society [1]. We partitioned the data into three groups: the pre-COVID-19 years (2017, 2018), during the COVID-19 years (2019, 2020, 2021), and the post-COVID-19 years (2022, 2023). In a novel manner, we applied principal components analysis (PCA), computed the angles between the cancer incidence vectors, and then added lognormal probability concepts in our analysis. Our analytic results revealed that the cancer incidences shifted within each era (pre, during, and post), with a meaningful change in the cancer incidences occurring in 2020, the peak of the COVID-19 era. We defined, computed, and interpreted the exceedance probability for a cancer type to have 1000 incidences in a future year among the breast, cervical, colorectal, uterine corpus, leukemia, lung & bronchus, melanoma, Hodgkin\'s lymphoma, prostate, and urinary cancers. We also defined, estimated, and illustrated indices for other cancer diagnoses from the vantage point of breast cancer in pre, during, and post-COVID-19 eras. The angle vectors post the COVID-19 were 72% less than pre-pandemic and 28% less than during the pandemic. The movement of cancer vectors was dynamic between these eras, and movement greatly differed by type of cancer. A trend chart of cervical cancer showed statistical anomalies in the years 2019 and 2021. Based on our findings, a few future research directions are pointed out.
摘要：
基础数据分析有助于评估关键问题，以辨别基本事实并引出以前看不见的证据。在这篇文章中,我们提供了在COVID-19大流行期间在癌症发病率中观察到的一个微妙现象。我们分析了美国癌症协会的癌症发病率数据[1]。我们将数据分为三组：前COVID-19年(2017年、2018年)，在COVID-19年（2019年、2020年、2021年），以及后COVID-19年（2022年、2023年）。以一种新颖的方式，我们应用主成分分析(PCA)，计算癌症发病率向量之间的角度，然后在我们的分析中加入对数正态概率概念。我们的分析结果表明，癌症发病率在每个时代都发生了变化(前，during,andpost),癌症发病率在2020年发生了有意义的变化，这是COVID-19时代的高峰。我们定义,计算，并解释了癌症类型在未来一年中在乳腺癌中发生1000例的超额概率，子宫颈,结直肠,子宫体,白血病,肺和支气管，黑色素瘤，霍奇金淋巴瘤,前列腺,和泌尿系癌症。我们还定义了,估计,并从乳腺癌的有利位置说明了其他癌症诊断的指标，during,和后COVID-19时代。COVID-19后的角度向量比大流行前少72%，比大流行期间少28%。癌症媒介的运动在这些时代之间是动态的，和运动因癌症类型而异。宫颈癌趋势图显示2019年和2021年的统计异常。根据我们的发现,指出了今后的研究方向。
