追踪印度COVID-19负担:使用smarart快速追踪器的回顾

Online journal of public health informatics Pub Date : 2021-03-12 eCollection Date: 2021-01-01 DOI:10.5210/ojphi.v13i1.11456
Ashish Joshi, Harpreet Kaur, L Nandini Krishna, Shruti Sharma, Gautam Sharda, Garima Lohra, Ashruti Bhatt, Ashoo Grover
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引用次数: 1

摘要

目标:印度新冠肺炎病例快速上升。使用smarart快速追踪器检查印度各邦和联邦属地COVID-19负担追踪器的时空变化。方法:我们使用smart RAPID Tracker可视化显示COVID-19在印度各邦和ut的空间和时间传播。从公开的政府信息来源收集的数据。2020年3月1日至2020年10月1日COVID-19数据分析记录的变量包括COVID-19病例和病死率、7天平均变化、康复率、实验室和测试。介绍了2019冠状病毒病在印度各邦和自治区传播的时空趋势。结果:截至2020年10月1日,新冠肺炎病例总数为63,12,584例,总病死率为86,821例。报告了8.5万多例新发COVID-19病例。印度共有1867个COVID-19实验室。其中一半以上是政府实验室。累计检测76717728例,累计治愈5273201例。结果显示,新发病例和新发病死率的7天平均变化总体下降。马哈拉施特拉邦、昌迪加尔、普杜切里、果阿邦、卡纳塔克邦和安得拉邦等邦的COVID-19感染率仍然很高。讨论:调查结果强调需要将国家指南与国家具体建议结合起来,以帮助管理covid -19的传播。结论:印度在地理位置和不同人口群体方面表现出的异质性突出表明,需要采取针对具体国家的方法来监测和防治当前的流行病。这将进一步促进各州采取有针对性的办法,以减轻和遏制疾病的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking COVID-19 burden in India: A review using SMAART RAPID tracker.

Objective: India has seen a rapid rise in COVID-19 cases. Examine spatiotemporal variation of COVID-19 burden Tracker across Indian states and union territories using SMAART RAPID Tracker.

Method: We used SMAART RAPID Tracker to visually display COVID-19 spread in space and time across various states and UTs of India. Data gathered from publicly available government information sources. Data analysis on COVID-19 conducted from March 1 2020 to October 1 2020. Variables recorded include COVID-19 cases and fatality, 7-day average change, recovery rate, labs and tests. Spatial and temporal trends of COVID-19 spread across Indian states and UTs is presented.

Result: The total number of COVID-19 cases were 63, 12,584 and total fatality was 86,821 (October 1 2020). More than 85,000 new cases of COVID-19 were reported. There were 1,867 total COVID-19 labs throughout India. More than half of them were Government labs. The total number of COVID-19 tests was 76,717,728 and total recovered COVID-19 cases was 5,273,201. Results show an overall decline in the 7-day average change of new COVID-19 cases and new COVID-19 fatality. States such as Maharashtra, Chandigarh, Puducherry, Goa, Karnataka and Andhra Pradesh continue to have high COVID-19 infectivity rate.

Discussion: Findings highlight need for both national guidelines combined with state specific recommendations to help manage the spread of COVD-19.

Conclusion: The heterogeneity represented in India in terms of its geography and various population groups highlight the need of state specific approach to monitor and combat the ongoing pandemic. This would further facilitate the tailored approach for each state to mitigate and contain the spread of the disease.

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