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采用带预防措施的向量自回归移动平均(VARMAX)时间序列方法对菲律宾截至2020年10月13日的新冠疫情传播情况进行建模与预测。

Modeling and prediction of COVID-19 spread in the Philippines by October 13, 2020, by using the VARMAX time series method with preventive measures.

作者信息

Gautam Jamdade Parikshit, Gautamrao Jamdade Shrinivas

机构信息

PVG's College of Engineering and Technology, Pune, Maharashtra, India.

Nowrosjee Wadia College, Pune, Maharashtra, India.

出版信息

Results Phys. 2021 Jan;20:103694. doi: 10.1016/j.rinp.2020.103694. Epub 2020 Dec 11.

Abstract

COVID-19 outbreak is the serious public health challenge the world is facing in recent days as there is no effective vaccine and treatment for this virus. It causes 257,863 confirmed cases as of September 13, 2020, with 4292 deaths in the Philippines up till now. Understanding the transmission dynamics of the infection is a crucial step for evaluating the effectiveness of control measures. Owing to this, forecasts of COVID-19 cases, deaths, cases per million, and deaths per million are necessary for the Philippines. We examine the characteristics of COVID-19 affected populations based on the data provided by WHO from December 31, 2019, to September 13, 2020. In this paper, forecasts, and analysis of the COVID-19 cases, deaths, cases per million, and deaths per million were presented for 30 days ahead. The projection results are compared with the actual data values and simulated results from the VARMAX time series method. Societal growth is assessed by the median growth rate (MGR). President Rodrigo R Duterte of the Philippines has taken good steps but much more needs to be done. We suggest Philippines governments must rapidly mobilize and make good policy decisions to mitigate the COVID-19 spread. This paper mentions major contributions, current concerns, and challenges during and post COVID-19 epidemic in the Philippines with few non-considered measures to reduce the spread of the COVID-19.

摘要

新冠疫情是近期全球面临的严峻公共卫生挑战,因为目前尚无针对该病毒的有效疫苗和治疗方法。截至2020年9月13日,全球确诊病例达257,863例,菲律宾迄今已有4292人死亡。了解该传染病的传播动态是评估防控措施有效性的关键一步。因此,对菲律宾而言,有必要对新冠病例、死亡人数、每百万人口病例数和每百万人口死亡数进行预测。我们根据世界卫生组织提供的2019年12月31日至2020年9月13日的数据,研究了受新冠疫情影响人群的特征。本文给出了未来30天新冠病例、死亡人数、每百万人口病例数和每百万人口死亡数的预测与分析。将预测结果与实际数据值以及VARMAX时间序列方法的模拟结果进行了比较。社会增长通过中位数增长率(MGR)进行评估。菲律宾总统罗德里戈·罗亚·杜特尔特已采取了良好措施,但仍有许多工作要做。我们建议菲律宾政府必须迅速行动并做出明智的政策决策,以减缓新冠疫情的传播。本文提及了菲律宾在新冠疫情期间及疫情后做出的主要贡献、当前关切的问题和挑战,以及一些未考虑到的减少新冠疫情传播的措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02e9/7728553/ccdfd76e2b4a/gr1_lrg.jpg

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