印度第二波COVID-19病例结束和第三波病例开始的评估和预测

Sachin Sharma, K. Veer
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引用次数: 0

摘要

与印度和全世界的第一波疫情相比,第二波冠状病毒疫情似乎是每日新增确诊病例、康复病例和死亡人数的一大上坡路。在印度,第二波新冠肺炎比2020年4月14日爆发的第一波疫情危险得多。5月7日记录的最大新增病例数为406901例,是第一波高峰的5.3倍。世界各地的许多研究人员正在使用机器学习预测模型来预测这场疫情即将到来的趋势。这项研究使用自回归综合移动平均(ARIMA)模型来预测印度新冠肺炎第二波疫情期间和之后的每日新增确诊病例、每日新增死亡人数和每日新增康复人数。该数据集收集于2020年3月14日至2021年7月7日,使用ARIMA模型预测未来60天的电晕病例。在印度目前的情况下,第二波将在2021年8月中旬出现较低的新增病例,第三波将于2021年9月中旬袭击该国。ARIMA模型是根据AIC(Akaike Information Criterion)值选择的,其最大准确率为95%。
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EVALUATION AND PREDICTION OF END OF SECOND WAVE AND STARTING OF THIRD WAVE COVID-19 CASES IN INDIA
The second wave of coronavirus has appeared to be an extensive uphill of the number of daily new confirmed cases, recovered cases, and deaths than the first wave in India and the whole world. In India, the second wave of COVID-19 is much dangerous than the first wave that hit on 14th April 2020. The maximum number of new cases was 406901 recorded on May 7, 5.3 times more than the first wave peak. Many researchers worldwide are using machine learning prediction models to forecast the upcoming trends of this pandemic. This study used an Autoregressive Integrated Moving Average (ARIMA) model to predict the daily new confirmed cases, daily new deaths, and daily new recoveries between and after the second wave of COVID-19 in India. The dataset was collected from March 14, 2020- July 7, 2021, using the ARIMA model to predict corona cases for the next 60 days. In the context of the current scenario in India, the second wave will score low new cases in mid-August 2021, and the third wave will hit the country in the middle of September 2021. The ARIMA model was chosen based on AIC (Akaike Information Criterion) values and acquired the maximum accuracy of 95%.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
18
审稿时长
>12 weeks
期刊介绍: In recent years a breakthrough has occurred in our understanding of the molecular pathomechanisms of human diseases whereby most of our diseases are related to intra and intercellular communication disorders. The concept of signal transduction therapy has got into the front line of modern drug research, and a multidisciplinary approach is being used to identify and treat signaling disorders. The journal publishes timely in-depth reviews, research article and drug clinical trial studies in the field of signal transduction therapy. Thematic issues are also published to cover selected areas of signal transduction therapy. Coverage of the field includes genomics, proteomics, medicinal chemistry and the relevant diseases involved in signaling e.g. cancer, neurodegenerative and inflammatory diseases. Current Signal Transduction Therapy is an essential journal for all involved in drug design and discovery.
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