ArticleChaos, solitons, and fractals2020
Estimating the parameters of susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods.
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 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reproductive number of coronavirus: A systematic review and meta-analysis based on global level evidence.PloS one · 2020Pooled it
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- A simple modification to the classical SIR model to estimate the proportion of under-reported infections using case studies in flu and COVID-19.Infectious Disease Modelling · 2024Article
- Multivariate Techniques for Monitoring Susceptible, Exposed, Infected, Recovered, Death, and Vaccination Model Parameters for the COVID-19 Pandemic for Qatar.International journal of environmental research and public health · 2024Article
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- FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models.International journal of dynamics and control · 2023Review
- Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar.Journal of applied statistics · 2023Article
- Explainable features responsible for the high or low spread of SARS-CoV-2: Africa in view.Scientific African · 2022Article
- Temporal deep learning architecture for prediction of COVID-19 cases in India.Expert systems with applications · 2022Article
- An epidemiology-based model for the operational allocation of COVID-19 vaccines: A case study of Thailand.Computers & industrial engineering · 2022Article
- The Effects of Migration and Limited Medical Resources of the Transmission of SARS-CoV-2 Model with Two Patches.Bulletin of mathematical biology · 2022Article
- Long-term predictions of current confirmed and dead cases of COVID-19 in China by the non-autonomous delayed epidemic models.Cognitive neurodynamics · 2022Article
- Dynamical analysis of the infection status in diverse communities due to COVID-19 using a modified SIR model.Nonlinear dynamics · 2022Article
- A death, infection, and recovery (DIR) model to forecast the COVID-19 spread.Computer methods and programs in biomedicine update · 2022Article
- Prediction of COVID-19 Data Using Hybrid Modeling Approaches.Frontiers in public health · 2022Article
- Article
- Effect of easing lockdown and restriction measures on COVID-19 epidemic projection: A case study of Saudi Arabia.PloS one · 2021Article
- Hospitalization dynamics during the first COVID-19 pandemic wave: SIR modelling compared to Belgium, France, Italy, Switzerland and New York City data.Infectious Disease Modelling · 2021Article
- Assessing the interplay between travel patterns and SARS-CoV-2 outbreak in realistic urban setting.Applied network science · 2021Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Owing to the pandemic scenario of COVID-19 disease cases all over the world, the outbreak prediction has become extremely complex for the emerging scientific research. Several epidemiological mathematical models of spread are increasing daily to forecast the predictions appropriately. In this study, the classical susceptible-infected-recovered (SIR) modeling approach was employed to study the different parameters of this model for India. This approach was analyzed by considering different governmental lockdown measures in India. Some assumptions were considered to fit the model in the Python simulation for each lockdown scenario. The predicted parameters of the SIR model exhibited some improvement in each case of lockdown in India. In addition, the outcome results indicated that extreme interventions should be performed to tackle this type of pandemic situation in the near future.
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