ABSTRACT
The Coronavirus Disease (COVID-19) caused by SARS-CoV-2, continues to be a global threat. The major global concern among scientists and researchers is to develop innovative digital solutions for prediction and control of infection and to discover drugs for its cure. In this paper we developed a strategic technical solution for surveillance and control of COVID-19 in Delhi-National Capital Region (NCR). This work aims to elucidate the Delhi COVID-19 Data Management Framework, the backend mechanism of integrated Command and Control Center (iCCC) with plugged-in modules for various administrative, medical and field operations. Based on the time-series data extracted from iCCC repository, the forecasting of COVID-19 spread has been carried out for Delhi using the Auto-Regressive Integrated Moving Average (ARIMA) model as it can effectively predict the logistics requirements, active cases, positive patients, and death rate. The intelligence generated through this research has paved the way for the Government of National Capital Territory Delhi to strategize COVID-19 related policies formulation and implementation on real time basis. The outcome of this innovative work has led to the drastic reduction in COVID-19 positive cases and deaths in Delhi-NCR.
ABSTRACT
The outbreak of Coronavirus Disease as a pandemic has resulted in a huge saddle on health infrastructure. Preventive measures such as quarantine, social distancing, isolation, and community containment play a pivotal role to contain the spread of exponentially growing COVID cases. This huge burden permitted authorities for institutional/home quarantine for the suspected persons. The biggest challenge for institutional/home quarantine is to monitor and track the movement of quarantined persons. These suspected cases pose a serious threat in outbreak and transmission of the disease. In this paper, an intelligent-Quarantine Monitoring System (iQMS) has been presented which comprises of a wearable IoT-based wristband, bundled with an android mobile app to track and report the absconding quarantined subjects in near real-time. The iQMS incorporates a cloud-based solution with IoT sensors using a global positioning system (GPS) based tracker for geo-fencing breach. The proposed system will facilitate the authorities in remote monitoring and tracking of identified subjects.
ABSTRACT
It has been observed that a sudden spurt in the number of COVID positive cases reported in the November 2020. The state government has started taking measure to prevent the spread of pandemic and to avert any probable fresh wave of COVID-19 as observed in some European countries. Moreover, winters are setting up in the northern regions of the country including Haryana which is argued as favorable condition for spread of the pandemic by some researchers. Ample data on COVID is now available about the pattern of spread of COVID-19 in the country as almost nine months have elapsed since the first positive COVID case was detected in India. This paper is designed to analyze the data based on district Gurugram of Haryana, COVID’s carriers effectiveness of the measures taken by the government, till now, to contain the spread of pandemic may also be inferred upon by the observations during this work. Finally, the significance of apprehension regarding onset of fresh wave of COVID may be predicted though the model. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.