Digital Response Framework for COVID-19 Pandemic Monitoring and Control in India

Author:

Hasan Iqbal1ORCID,Rizvi SAM2,Geelani Abid3

Affiliation:

1. Jamia Millia Islamia

2. Jamia Millia Islamia Central University: Jamia Millia Islamia

3. GB Pant Hospital: Govind Ballabh Pant Hospital

Abstract

Abstract BackgroundThe COVID-19 pandemic is atypical in scale, perseverance, and geographical progression throughout the world in recent history. It is declared a public calamity in India wherein the Prime Minister’s Office is directly associated with every aspect of surveillance, control, and relief measures. This paper aims to present the digital response framework for management, surveillance, and control of the COVID-19 crisis across the country. The paper also presents technological adoption by various states and union territories and analysis of COVID cases in India. MethodsThe Ministry of Home Affairs and its various organizations such as the National Disaster Management Authority, and Ministry of Health and Family Welfare are managing various authoritative and administrative activities, and Ministry of Electronics & Information Technology through National Informatics Centre (NIC) are providing technological solution to manage the COVID-19 pandemic in India. The NIC is playing a crucial role to develop and manage digital solutions for surveillance and control of COVID-19 in India. ResultsOn analysis of COVID-19 data of reported confirmed, recovered, and deceased cases across India in various states, it is observed that Maharashtra was most affected followed by Karnataka , Kerala , Delhi and other states. ConclusionThe technological solutions developed, implemented, managed by NIC making up the digital response framework for monitoring, surveillance, and control of COVID-19 are standard for India and proved to be effective in combating the COVID-19 pandemic and are widely used in central, state, and local governing bodies.

Publisher

Research Square Platform LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data analytics and knowledge management approach for COVID-19 prediction and control;International Journal of Information Technology;2022-06-11

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