IMPACT OF COVID-19 ON BREAST CANCER SCREENING PROGRAM (BCSP) IN INDIA

Q4 Engineering
Sashikanta Prusty, Sujit Kumar Dash, Srikanta Patnaik, Sushree Gayatri Priyadarsini Prusty
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引用次数: 0

Abstract

In the past three years, covid-19 viruses have spread rapidly worldwide, while low and middle-income countries were affected mostly so far. Emergency limits were imposed due to the rapid infection and significant mortality rates. Only emergency medical treatments are available during these shutdowns and lockdowns in India. All non-emergency treatments, such as Breast Cancer Screening Program (BCSP), have been temporarily halted due to the huge number of deaths caused by coronavirus. However, the ability of BC screening programs to improve survival rates while lowering mortality rates has been well demonstrated. Suspension may result in poorer outcomes for patients with BC. In this regard, early detection and treatment are critical for increased survival and long-term quality of life. Thus, we have taken breast cancer patients' data for the last six years i.e. from 2016 to 2021 in India to properly evaluate and analyze for our research. Assessing recent results for various features from, modeled evaluations can aid pandemic responses. Besides that, we proposed a novel method that implements the EDA technique to graphically represent BC patients' data. This experiment was done using Python programming language on Jupyter 6.4.3 platform. We found the sudden rise of BC patients from lakhs to millions in 2019. This signifies the deadly coronavirus has greatly affected people during the pandemic days when people are more serious about this virus rather than screening their breasts.
2019冠状病毒病对印度乳腺癌筛查计划的影响
在过去三年中,covid-19病毒在全球迅速传播,迄今为止受影响最大的是低收入和中等收入国家。由于感染迅速和死亡率高,实行了紧急限制。在这些关闭和封锁期间,印度只有紧急医疗服务。由于冠状病毒造成的大量死亡,所有非紧急治疗,如乳腺癌筛查计划(BCSP),都已暂时停止。然而,BC筛查项目在提高生存率的同时降低死亡率的能力已经得到了很好的证明。暂停治疗可能导致BC患者预后较差。在这方面,早期发现和治疗对于提高生存率和长期生活质量至关重要。因此,我们选取了印度2016年至2021年的乳腺癌患者数据,对我们的研究进行了适当的评估和分析。评估模拟评估的各种特征的最新结果有助于大流行应对。此外,我们提出了一种新的方法,实现EDA技术,以图形化表示BC患者的数据。本实验在Jupyter 6.4.3平台下使用Python编程语言完成。我们发现,2019年,BC患者突然从10万增加到数百万。这表明,在疫情期间,人们更重视这种病毒,而不是筛查乳房,致命的冠状病毒对人们的影响很大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Indian Journal of Computer Science and Engineering
Indian Journal of Computer Science and Engineering Engineering-Engineering (miscellaneous)
自引率
0.00%
发文量
146
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