ArticleMathematics and computers in simulation2022
Impact of optimal vaccination and social distancing on COVID-19 pandemic.
Article in Mathematics and computers in simulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 56 citations in OpenAlex.
- A compartmental model of variant coexistence, dynamics and dominance in infectious diseases: Case for SARS-CoV-2 in Abu Dhabi.Infectious Disease Modelling · 2026Article
- Multi-dimensional factors of behavioral intention of COVID-19 booster vaccination among people having contracted COVID-19-a 7-city study conducted during the last national major outbreak in China.BMC public health · 2025Article
- Population Behavior Regarding the Use of Face Masks to Prevent the Transmission of Respiratory Infections: Lessons to Be Learned from the COVID-19 Pandemic.International journal of environmental research and public health · 2025Article
- On optimal control at the onset of a new viral outbreak.Infectious Disease Modelling · 2024Article
- Factors Affecting Adherence to Social Distancing among Adults Aged 19-44 Years: Insights from a Nationwide Survey during COVID-19 Pandemic.Medicina (Kaunas, Lithuania) · 2024Article
- 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
- Article
- Modeling the competitive transmission of the Omicron strain and Delta strain of COVID-19.Journal of mathematical analysis and applications · 2023Article
- Risk factors for COVID-19 outbreaks in livestock slaughtering and processing facilities in Republic of Korea.Osong public health and research perspectives · 2023Article
- Study of optimal vaccination strategies for early COVID-19 pandemic using an age-structured mathematical model: A case study of the USA.Mathematical biosciences and engineering : MBE · 2023Article
- Optimal control and cost-effectiveness analysis of a new COVID-19 model for Omicron strain.Physica A · 2022Article
- A time-delayed model for the spread of COVID-19 with vaccination.Scientific reports · 2022Article
- Adaptive SIR model with vaccination: simultaneous identification of rates and functions illustrated with COVID-19.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The first COVID-19 case was reported at Wuhan in China at the end of December 2019 but till today the virus has caused millions of deaths worldwide. Governments of each country, observing the severity, took non-pharmaceutical interventions from the very beginning to break the chain of higher transmission. Fortunately, vaccines are available now in most countries and people are asked to take recommended vaccines as precautionary measures. In this work, an epidemiological model on COVID-19 is proposed where people from the susceptible and asymptomatically infected phase move to the vaccinated class after a full two-dose vaccination. The overall analysis says that the disease transmission rate from symptomatically infected people is most sensitive on the disease prevalence. Moreover, better disease control can be achieved by vaccination of the susceptible class. In the later part of the work, a corresponding optimal control problem is considered where maintaining social distancing and vaccination procedure change with time. The result says that even in absence of social distancing, only the vaccination to people can significantly reduce the overall infected population. From the analysis, it is observed that maintaining physical distancing and taking vaccines at an early stage decreases the infection level significantly in the environment by reducing the probability of becoming 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.