ArticleChaos, solitons, and fractals2020
Modeling and forecasting the COVID-19 pandemic in India.
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 151 papers, 1 of them a synthesis that pooled it.
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Who cites it
151 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
- A compartmental model of variant coexistence, dynamics and dominance in infectious diseases: Case for SARS-CoV-2 in Abu Dhabi.Infectious Disease Modelling · 2026Article
- Smallpox outbreak scenarios and reactive intervention protocols: A mathematical model-based analysis applied to the Republic of Korea.PloS one · 2026Article
- 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
- Interpreting epidemiological surveillance data: a modelling study based on Pune city.Scientific reports · 2025Article
- Dynamics of an epidemic controlled by isolation and quarantine: A probability-based deterministic model.Infectious Disease Modelling · 2025Article
- Limitations of point-of-care testing for low SARS CoV-2 loads: Insights for future pandemics.African journal of primary health care & family medicine · 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
- Studying the impacts of variant evolution for a generalized age-group transmission model.PloS one · 2024Article
- The impact of Covid-19 in Chhattisgarh, India: A descriptive study.Journal of family medicine and primary care · 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
- Capturing asymmetry in COVID-19 counts using an improved skewness measure for time series data.MethodsX · 2023Article
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- COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?Biology · 2023Article
- Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning.Journal of business research · 2023Article
- Association of greenness with COVID-19 deaths in India: An ecological study at district level.Environmental research · 2023Article
- The impact of built and socio-economic environment factors on Covid-19 transmission at the ZIP-code level in Florida.Journal of environmental management · 2023Article
- Modeling Consequences of COVID-19 and Assessing Its Epidemiological Parameters: A System Dynamics Approach.Healthcare (Basel, Switzerland) · 2023Article
91 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In India, 100,340 confirmed cases and 3155 confirmed deaths due to COVID-19 were reported as of May 18, 2020. Due to absence of specific vaccine or therapy, non-pharmacological interventions including social distancing, contact tracing are essential to end the worldwide COVID-19. We propose a mathematical model that predicts the dynamics of COVID-19 in 17 provinces of India and the overall India. A complete scenario is given to demonstrate the estimated pandemic life cycle along with the real data or history to date, which in turn divulges the predicted inflection point and ending phase of SARS-CoV-2. The proposed model monitors the dynamics of six compartments, namely susceptible (S), asymptomatic (A), recovered (R), infected (I), isolated infected (
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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.