ArticleChaos (Woodbury, N.Y.)2020
Forecasting the daily and cumulative number of cases for the COVID-19 pandemic in India.
Article in Chaos (Woodbury, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 citing papers in PubMed.
- A state wise analysis of the socioeconomic and health impacts of the COVID-19 pandemic in India: lessons for future health system preparedness.Frontiers in public health · 2026Article
- Projected spread models.Journal of mathematical biology · 2025Article
- The relationship between compartment models and their stochastic counterparts: A comparative study with examples of the COVID-19 epidemic modeling.Journal of biomedical research · 2024Article
- Assessing the impact of different contact patterns on disease transmission: Taking COVID-19 as a case.PloS one · 2024Article
- A mathematical model of COVID-19 with multiple variants of the virus under optimal control in Ghana.PloS one · 2024Article
- Studying the impacts of variant evolution for a generalized age-group transmission model.PloS one · 2024Article
- Article
- A Novel Mathematical Model That Predicts the Protection Time of SARS-CoV-2 Antibodies.Viruses · 2023Article
- Optimal COVID-19 testing strategy on limited resources.PloS one · 2023Article
- FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models.International journal of dynamics and control · 2023Review
- Article
- Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive.Mathematics and computers in simulation · 2023Article
- Place of distancing measures in containing epidemics: a scoping review.The Libyan journal of medicine · 2022Article
- Correcting notification delay and forecasting of COVID-19 data.Journal of mathematical analysis and applications · 2022Article
- EKF-SIRD model algorithm for predicting the coronavirus (COVID-19) spreading dynamics.Scientific reports · 2022Article
- A global report on the dynamics of COVID-19 with quarantine and hospitalization: A fractional order model with non-local kernel.Computational biology and chemistry · 2022Article
- Spatialized epidemiological forecasting applied to Covid-19 pandemic at departmental scale in France.Systems & control letters · 2022Article
- Understanding Dynamics of Pandemic Models to Support Predictions of COVID-19 Transmission: Parameter Sensitivity Analysis of SIR-Type Models.IEEE journal of biomedical and health informatics · 2022Article
- New endemic and pandemic pathologies with interhuman airborne transmission through ear, nose and throat anatomical sites.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2022Article
- Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.Medical review (2021) · 2022Review
5 more citing papers are in PubMed but not listed here.
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The ongoing novel coronavirus epidemic was announced a pandemic by the World Health Organization on March 11, 2020, and the Government of India declared a nationwide lockdown on March 25, 2020 to prevent community transmission of the coronavirus disease (COVID)-19. Due to the absence of specific antivirals or vaccine, mathematical modeling plays an important role in better understanding the disease dynamics and in designing strategies to control the rapidly spreading infectious disease. In our study, we developed a new compartmental model that explains the transmission dynamics of COVID-19. We calibrated our proposed model with daily COVID-19 data for four Indian states, namely, Jharkhand, Gujarat, Andhra Pradesh, and Chandigarh. We study the qualitative properties of the model, including feasible equilibria and their stability with respect to the basic reproduction number R
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.