ArticleChaos, solitons, and fractals2020
Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.
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Who cites it
59 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic.International journal of environmental research and public health · 2022Pooled it
- Erectile dysfunction among patients and health care providers during COVID-19 pandemic: A systematic review.International journal of impotence research · 2022Pooled it
- Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Comparison between simulated scenarios and Swedish COVID-19 cases throughout the pandemic.Scientific reports · 2025Article
- Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic.World journal of clinical cases · 2023Review
- A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction.Heliyon · 2023Article
- Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan.Healthcare (Basel, Switzerland) · 2023Article
- ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India.Neural computing & applications · 2023Article
- Optimization using the firefly algorithm of ensemble neural networks with type-2 fuzzy integration for COVID-19 time series prediction.Soft computing · 2023Article
- Twitter conversations predict the daily confirmed COVID-19 cases.Applied soft computing · 2022Article
- Modelling and forecasting new cases of Covid-19 in Nigeria: Comparison of regression, ARIMA and machine learning models.Scientific African · 2022Article
- Modelling the spreading of the SARS-CoV-2 in presence of the lockdown and quarantine measures by a kinetic-type reactions approach.Mathematical medicine and biology : a journal of the IMA · 2022Article
- Tool Wear Prediction When Machining with Self-Propelled Rotary Tools.Materials (Basel, Switzerland) · 2022Article
- Forecasting COVID19 parameters using time-series: KSA, USA, Spain, and Brazil comparative case study.Heliyon · 2022Article
- A novel hybrid fuzzy time series model for prediction of COVID-19 infected cases and deaths in India.ISA transactions · 2022Article
- Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach.Computers in biology and medicine · 2022Article
- Time-discrete SIR model for COVID-19 in Fiji.Epidemiology and infection · 2022Article
- Determining an effective short term COVID-19 prediction model in ASEAN countries.Scientific reports · 2022Article
- A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing.Expert systems · 2022Article
- Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques.Expert systems · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
COVID-19 declared as a global pandemic by WHO, has emerged as the most aggressive disease, impacting more than 90% countries of the world. The virus started from a single human being in China, is now increasing globally at a rate of 3% to 5% daily and has become a never ending process. Some studies even predict that the virus will stay with us forever. India being the second most populous country of the world, is also not saved, and the virus is spreading as a community level transmitter. Therefore, it become really important to analyse the possible impact of COVID-19 in India and forecast how it will behave in the days to come. In present work, prediction models based on genetic programming (GP) have been developed for confirmed cases (CC) and death cases (DC) across three most affected states namely Maharashtra, Gujarat and Delhi as well as whole India. The proposed prediction models are presented using explicit formula, and impotence of prediction variables are studied. Here, statistical parameters and metrics have been used for evaluated and validate the evolved models. From the results, it has been found that the proposed GEP-based models use simple linkage functions and are highly reliable for time series prediction of COVID-19 cases in India.
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