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预测 SARS-CoV-2 变异株流行期间 COVID-19 大流行的严重程度:ARIMA 模型的应用。

Forecasting the Severity of COVID-19 Pandemic Amidst the Emerging SARS-CoV-2 Variants: Adoption of ARIMA Model.

机构信息

School of Management, Jiangsu University, Zhenjiang 212013, China.

College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China.

出版信息

Comput Math Methods Med. 2022 Jan 13;2022:3163854. doi: 10.1155/2022/3163854. eCollection 2022.

Abstract

Currently, the global report of COVID-19 cases is around 110 million, and more than 2.43 million related death cases as of February 18, 2021. Viruses continuously change through mutation; hence, different virus of SARS-CoV-2 has been reported globally. The United Kingdom (UK), South Africa, Brazil, and Nigeria are the countries from which these emerged variants have been notified and now spreading globally. Therefore, these countries have been selected as a research sample for the present study. The datasets analyzed in this study spanned from March 1, 2020, to January 31, 2021, and were obtained from the World Health Organization website. The study used the Autoregressive Integrated Moving Average (ARIMA) model to forecast coronavirus incidence in the UK, South Africa, Brazil, and Nigeria. ARIMA models with minimum Akaike Information Criterion Correction (AICc) and statistically significant parameters were chosen as the best models in this research. Accordingly, for the new confirmed cases, ARIMA (3,1,14), ARIMA (0,1,11), ARIMA (1,0,10), and ARIMA (1,1,14) models were chosen for the UK, South Africa, Brazil, and Nigeria, respectively. Also, the model specification for the confirmed death cases was ARIMA (3,0,4), ARIMA (0,1,4), ARIMA (1,0,7), and ARIMA (Brown); models were selected for the UK, South Africa, Brazil, and Nigeria, respectively. The results of the ARIMA model forecasting showed that if the required measures are not taken by the respective governments and health practitioners in the days to come, the magnitude of the coronavirus pandemic is expected to increase in the study's selected countries.

摘要

截至 2021 年 2 月 18 日,全球报告的 COVID-19 病例约为 1.1 亿例,相关死亡病例超过 243 万例。病毒通过突变不断变化;因此,全球报告了不同的 SARS-CoV-2 病毒。英国(UK)、南非、巴西和尼日利亚是这些变异病毒已经报告并正在全球传播的国家。因此,这些国家被选为本次研究的研究样本。本研究分析的数据集涵盖 2020 年 3 月 1 日至 2021 年 1 月 31 日,并从世界卫生组织网站获取。本研究使用自回归综合移动平均(ARIMA)模型预测英国、南非、巴西和尼日利亚的冠状病毒发病率。选择具有最小赤池信息量准则校正(AICc)和统计学意义参数的 ARIMA 模型作为本研究的最佳模型。因此,对于新确诊病例,分别为英国、南非、巴西和尼日利亚选择了 ARIMA(3,1,14)、ARIMA(0,1,11)、ARIMA(1,0,10)和 ARIMA(1,1,14)模型。此外,确诊死亡病例的模型规格分别为英国、南非、巴西和尼日利亚的 ARIMA(3,0,4)、ARIMA(0,1,4)、ARIMA(1,0,7)和 ARIMA(布朗)模型。如果在未来几天内,各国政府和卫生从业人员不采取必要措施,ARIMA 模型预测结果显示,预计研究选定国家的冠状病毒大流行规模将会增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f28/8776442/e89ff246b0b9/CMMM2022-3163854.001.jpg

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