Covid-19: A comprehensive review of learning models

S Chahar, PK Roy - Archives of Computational Methods in Engineering, 2022 - Springer
Coronavirus disease is communicable and inhibits the infected person's immune system. It
belongs to the Coronaviridae family and has affected 213 nations and territories so far. Many …

[HTML][HTML] Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms

D Ray, M Salvatore, R Bhattacharyya… - Harvard data science …, 2020 - ncbi.nlm.nih.gov
With only 536 cases and 11 fatalities, India took the historic decision of a 21-day national
lockdown on March 25. The lockdown was first extended to May 3 soon after the analysis of …

[HTML][HTML] COVID-19 in India: statewise analysis and prediction

P Ghosh, R Ghosh, B Chakraborty - JMIR public health and …, 2020 - publichealth.jmir.org
Background: The highly infectious coronavirus disease (COVID-19) was first detected in
Wuhan, China in December 2019 and subsequently spread to 212 countries and territories …

An epidemic model SIPHERD and its application for prediction of the spread of COVID-19 infection in India

A Mahajan, NA Sivadas, R Solanki - Chaos, Solitons & Fractals, 2020 - Elsevier
Abstract Originating from Wuhan, China, in late 2019, and with a gradual spread in the last
few months, COVID-19 has become a pandemic crossing 9 million confirmed positive cases …

AI-Enabled COVID-19 Outbreak Analysis and Prediction

M Gupta, R Jain, S Arora, A Gupta… - M. Gupta, R. Jain, S …, 2021 - papers.ssrn.com
The COVID-19 disease has already spread to more than 213 countries and territories with
infected (confirmed) cases of more than 27 million people throughout the world so far, while …

Lessons from SARS-CoV-2 in India: A data-driven framework for pandemic resilience

M Salvatore, S Purkayastha, L Ganapathi… - Science …, 2022 - science.org
India experienced a massive surge in SARS-CoV-2 infections and deaths during April to
June 2021 despite having controlled the epidemic relatively well during 2020. Using …

[HTML][HTML] Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods

FM Khan, A Kumar, H Puppala, G Kumar… - Journal of Safety Science …, 2021 - Elsevier
There is a new public health catastrophe forbidding the world. With the advent and spread of
2019 novel coronavirus (2019-nCoV). Learning from the experiences of various countries …

Machine learning model estimating number of COVID-19 infection cases over coming 24 days in every province of South Korea (XGBoost and MultiOutputRegressor)

Y Suzuki, A Suzuki, S Nakamura, T Ishikawa… - MedRxiv, 2020 - medrxiv.org
We built a machine learning model (ML model) which input the number of daily infection
cases and the other information related to COVID-19 over the past 24 days in each of 17 …

An analysis of COVID-19 clusters in India: two case studies on Nizamuddin and Dharavi

P Sengupta, B Ganguli, S SenRoy, A Chatterjee - BMC Public Health, 2021 - Springer
Background In this study we cluster the districts of India in terms of the spread of COVID-19
and related variables such as population density and the number of specialty hospitals …

Covid-19 pandemic data analysis and forecasting using machine learning algorithms

S Sengupta, S Mugde, G Sharma - MedRxiv, 2020 - medrxiv.org
India reported its first Covid-19 case on 30th Jan 2020 and the number of cases reported
heavily escalated from March, 2020. This research paper analyses COVID-19 data initially at …