Deep learning via LSTM models for COVID-19 infection forecasting in India
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep learning via LSTM models for COVID-19 infection forecasting in India
Authors
Keywords
COVID 19, Forecasting, Tamil people, India, Deep learning, Virus testing, Recurrent neural networks, Pandemics
Journal
PLoS One
Volume 17, Issue 1, Pages e0262708
Publisher
Public Library of Science (PLoS)
Online
2022-01-29
DOI
10.1371/journal.pone.0262708
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Confronting the Delta Variant of SARS-CoV-2, Summer 2021
- (2021) Carlos del Rio et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics
- (2020) Jodie Pall et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Presumed Asymptomatic Carrier Transmission of COVID-19
- (2020) Yan Bai et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- An interactive web-based dashboard to track COVID-19 in real time
- (2020) Ensheng Dong et al. LANCET INFECTIOUS DISEASES
- Covid-19 — Navigating the Uncharted
- (2020) Anthony S. Fauci et al. NEW ENGLAND JOURNAL OF MEDICINE
- The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2
- (2020) Nature Microbiology
- Inhibition of SARS-CoV-2 Infections in Engineered Human Tissues Using Clinical-Grade Soluble Human ACE2
- (2020) Vanessa Monteil et al. CELL
- Delivery of infection from asymptomatic carriers of COVID-19 in a familial cluster
- (2020) Feng Ye et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- Refugee and migrant health in the COVID-19 response
- (2020) Hans Henri P Kluge et al. LANCET
- How will country-based mitigation measures influence the course of the COVID-19 epidemic?
- (2020) Roy M Anderson et al. LANCET
- Digital technology and COVID-19
- (2020) Daniel Shu Wei Ting et al. NATURE MEDICINE
- The proximal origin of SARS-CoV-2
- (2020) Kristian G. Andersen et al. NATURE MEDICINE
- Mental health problems and social media exposure during COVID-19 outbreak
- (2020) Junling Gao et al. PLoS One
- Time series modelling to forecast the confirmed and recovered cases of COVID-19
- (2020) Mohsen Maleki et al. Travel Medicine and Infectious Disease
- Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
- (2020) Zifeng Yang et al. Journal of Thoracic Disease
- COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
- (2020) Gergo Pinter et al. Mathematics
- Time series forecasting of COVID-19 transmission in Canada using LSTM networks
- (2020) Vinay Kumar Reddy Chimmula et al. CHAOS SOLITONS & FRACTALS
- Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
- (2020) Tanujit Chakraborty et al. CHAOS SOLITONS & FRACTALS
- Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19
- (2020) Sarbjit Singh et al. CHAOS SOLITONS & FRACTALS
- Forecast and evaluation of COVID-19 spreading in USA with reduced-space Gaussian process regression
- (2020) Ricardo Manuel Arias Velásquez et al. CHAOS SOLITONS & FRACTALS
- A case study in model failure? COVID-19 daily deaths and ICU bed utilisation predictions in New York state
- (2020) Vincent Chin et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- Prediction for the spread of COVID-19 in India and effectiveness of preventive measures
- (2020) Anuradha Tomar et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Early forecasting of the potential risk zones of COVID-19 in China's megacities
- (2020) Hongyan Ren et al. SCIENCE OF THE TOTAL ENVIRONMENT
- COVID-19 pandemic and environmental pollution: A blessing in disguise?
- (2020) Sulaman Muhammad et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Assessing air quality changes in large cities during COVID-19 lockdowns: The impacts of traffic-free urban conditions in Almaty, Kazakhstan
- (2020) Aiymgul Kerimray et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Indirect effects of COVID-19 on the environment
- (2020) Manuel A. Zambrano-Monserrate et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions
- (2020) Saleh I. Alzahrani et al. Journal of Infection and Public Health
- COVID-19 and mental health: A review of the existing literature
- (2020) Ravi Philip Rajkumar Asian Journal of Psychiatry
- Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan
- (2020) Muhammad Yousaf et al. CHAOS SOLITONS & FRACTALS
- Comprehensive identification and isolation policies have effectively suppressed the spread of COVID-19
- (2020) Yubo Huang et al. CHAOS SOLITONS & FRACTALS
- Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
- (2020) Ramon Gomes da Silva et al. CHAOS SOLITONS & FRACTALS
- India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling
- (2020) Ramit Debnath et al. PLoS One
- Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks
- (2020) Amal I. Saba et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- How and Why Patients Made Long Covid
- (2020) Felicity Callard et al. SOCIAL SCIENCE & MEDICINE
- Langevin-gradient parallel tempering for Bayesian neural learning
- (2019) Rohitash Chandra et al. NEUROCOMPUTING
- Bayesian neural multi-source transfer learning
- (2019) Rohitash Chandra et al. NEUROCOMPUTING
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction
- (2015) Rohitash Chandra IEEE Transactions on Neural Networks and Learning Systems
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started