Evidence map›Paper›PMID 34635703›Full record

ArticleScientific reports2021

Optimal control strategies on COVID-19 infection to bolster the efficacy of vaccination in India.

Ashutosh Rajput, Mohammad Sajid, Tanvi, Chandra Shekhar, Rajiv Aggarwal

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A Fokker-Planck framework for control of epidemics.Journal of mathematical biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ashutosh RajputDepartment of Mathematics, Deshbandhu College, University of Delhi, New Delhi, 110019, India.
Mohammad SajidDepartment of Mechanical Engineering, College of Engineering, Qassim University, Buraidah, Al Qassim, Saudi Arabia.
TanviDepartment of Mathematics, Deshbandhu College, University of Delhi, New Delhi, 110019, India.
Chandra ShekharDepartment of Mathematics, Deshbandhu College, University of Delhi, New Delhi, 110019, India.
Rajiv AggarwalDepartment of Mathematics, Deshbandhu College, University of Delhi, New Delhi, 110019, India. rajiv_agg1973@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Novel Coronavirus which emerged in India on January/30/2020 has become a catastrophe to the country on the basis of health and economy. Due to rapid variations in the transmission of COVID-19, an accurate prediction to determine the long term effects is infeasible. This paper has introduced a nonlinear mathematical model to interpret the transmission dynamics of COVID-19 infection along with providing vaccination in the precedence. To minimize the level of infection and treatment burden, the optimal control strategies are carried out by using the Pontryagin's Maximum Principle. The data validation has been done by correlating the estimated number of infectives with the real data of India for the month of March/2021. Corresponding to the model, the basic reproduction number [Formula: see text] is introduced to understand the transmission dynamics of COVID-19. To justify the significance of parameters we determined the sensitivity analysis of [Formula: see text] using the parameters value. In the numerical simulations, we concluded that reducing [Formula: see text] below unity is not sufficient enough to eradicate the COVID-19 disease and thus, it is required to increase the vaccination rate and its efficacy by motivating individuals to take precautionary measures.

Indexed as

Models, BiologicalBasic Reproduction NumberCommunicable Disease ControlComputer SimulationCOVID-19COVID-19 VaccinesHumansIndiaNonlinear DynamicsPandemicsSARS-CoV-2VaccinationCOVID-19 Vaccines

Identifiers

PMID34635703
PMCPMC8505443

What OpenQuestion holds

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Registered trials

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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.