ArticleClinical epidemiology and global health
Modelling of reproduction number for COVID-19 in India and high incidence states.
Article in Clinical epidemiology and global health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 45 citations in OpenAlex.
- Reconstructing the COVID-19 incidence in India using airport screening data in Japan.BMC infectious diseases · 2024Article
- Basic Reproduction Number (R0), Doubling Time, and Daily Growth Rate of the COVID-19 Epidemic: An Echological Study.Archives of academic emergency medicine · 2024Article
- Article
- Population infection estimation from wastewater surveillance for SARS-CoV-2 in Nagpur, India during the second pandemic wave.PloS one · 2024Article
- COVID-19 Pandemic: Did Strict Mobility Restrictions Save Lives and Healthcare Costs in Maharashtra, India?Healthcare (Basel, Switzerland) · 2023Article
- A mathematical model for COVID-19 considering waning immunity, vaccination and control measures.Scientific reports · 2023Article
- Mathematical modeling to study the impact of immigration on the dynamics of the COVID-19 pandemic: A case study for Venezuela.Spatial and spatio-temporal epidemiology · 2022Article
- Analysis of COVID-19 in India using a vaccine epidemic model incorporating vaccine effectiveness and herd immunity.European physical journal plus · 2022Article
- Mathematical modelling for decision making of lockdown during COVID-19.Applied intelligence (Dordrecht, Netherlands) · 2022Article
- Analysis of the second wave of COVID-19 in India based on SEIR model.The European physical journal. Special topics · 2022Article
- Factors influencing the acquisition of COVID infection among high-risk contacts of COVID-19 patients in Madurai district-A case control study.Journal of family medicine and primary care · 2022Article
- Perspective of AI system for COVID-19 detection using chest images: a review.Multimedia tools and applications · 2022Article
- Data analysis and prediction of the COVID-19 outbreak in the first and second waves for top 5 affected countries in the world.Nonlinear dynamics · 2022Article
- Transmission Dynamics and Short-Term Forecasts of COVID-19: Nepal 2020/2021.Epidemiologia (Basel, Switzerland) · 2021Article
- Covid-19 Infection in India: A Comparative Analysis of the Second Wave with the First Wave.Pathogens (Basel, Switzerland) · 2021Article
- Analysis of Delayed Vaccination Regimens: A Mathematical Modeling Approach.Epidemiologia (Basel, Switzerland) · 2021Article
- Impact of intervention on the spread of COVID-19 in India: A model based study.Journal of theoretical biology · 2021Article
- Analysis of Key Factors of a SARS-CoV-2 Vaccination Program: A Mathematical Modeling Approach.Epidemiologia (Basel, Switzerland) · 2021Article
- Random forest regression analysis on combined role of meteorological indicators in disease dissemination in an Indian city: A case study of New Delhi.Urban climate · 2021Article
- Mathematical modelling of the second wave of COVID-19 infections using deterministic and stochastic SIDR models.Nonlinear dynamics · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSince the onset of the COVID-19 in China, forecasting and projections of the epidemic based on epidemiological models have been in the centre stage. Researchers have used various models to predict the maximum extent of the number of cases and the time of peak. This yielded varying numbers. This paper aims to estimate the effective reproduction number (R) for COVID-19 over time using incident number of cases that are reported by the government.
methodsExponential Growth method to estimate basic reproduction rate R
resultsThe basic reproduction number (R
conclusionThe study estimated a baseline R
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What OpenQuestion holds
Registered trials
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.