Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022;47(1):209-218.
doi: 10.1007/s13369-021-05827-w. Epub 2021 Jun 23.

Fractional Model with Social Distancing Parameter for Early Estimation of COVID-19 Spread

Affiliations

Fractional Model with Social Distancing Parameter for Early Estimation of COVID-19 Spread

Saroj Kumar Chandra et al. Arab J Sci Eng. 2022.

Abstract

COVID-19 disease has come up as a life-threatening outbreak at end of 2019. It has impacted almost all countries in the world. The major source of COVID-19 is a novel beta coronavirus. COVID-19 had a great impact on world throughout the year 2020. Now, the situation is becoming normal due to the invention of the vaccine. All major countries started large vaccination drives. Mathematical models are used to study the impact of different measures used to decrease pandemics. Mathematical models such as susceptible-infected-removed model and susceptible-exposed-infected-removed are used to predict the spread of diseases. But these models are not suitable to predict COVID-19 spread due to various preventive measures (social distancing and quarantine) applied to reduce spread. Hence, in the present manuscript, a novel fractional mathematical model with a social distancing parameter has been proposed to provide early COVID-19 spread estimation. Fractional calculus provides flexibility in choosing arbitrary order of derivative which controls data sensitivity. The model has been validated with real data set. It has been observed that the proposed model is highly accurate in spread estimation.

Keywords: COVID-19; Coronavirus; Mathematical modeling; Pandemic modeling.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Proposed mathematical model with social distancing
Fig. 2
Fig. 2
Flowchart for proposed fractional model
Fig. 3
Fig. 3
Active COVID-19 cases in India
Fig. 4
Fig. 4
COVID-19 spread analysis by different curve fitting tools
Fig. 5
Fig. 5
COVID-19 trend in India with different scenarios
Fig. 6
Fig. 6
COVID-19 spread before applying social distancing with ρ=1
Fig. 7
Fig. 7
COVID-19 spread due to breakage in social distancing with ρ=0.8
Fig. 8
Fig. 8
COVID-19 spread due to breakage in social distancing with ρ=0.5
Fig. 9
Fig. 9
COVID-19 spread after applying different social distancing with ρ=1.0
Fig. 10
Fig. 10
COVID-19 spread due to breakage in social distancing with ρ=0.8
Fig. 11
Fig. 11
COVID-19 spread due to breakage in social distancing with ρ=0.5
Fig. 12
Fig. 12
COVID-19 spread after applying different social distancing and wearing of facial mask parameter
Fig. 13
Fig. 13
COVID-19 spread analysis by SIR model
Fig. 14
Fig. 14
COVID-19 spread analysis by SEIR model

References

    1. Fabian Standl, K.-H.J., Stang, A.: Covid-19 and the need of targeted inverse quarantine, European J. Epidemiol. - PMC - PubMed
    1. HongzhouLu1, C.W.S.; Tang, Y.: Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. J. Med. Virol. , 401–402 (2020) - PMC - PubMed
    1. Soriano, J.B.: Humanistic epidemiology: love in the time of cholera, covid-19 and other outbreaks, European J. Epidemiol. - PMC - PubMed
    1. H. M. Zou L, Ruan F, Sars-cov-2 viral load in upper respiratory specimens of infected patients, New England J. Med. 382 (2020) 1177–1179. - PMC - PubMed
    1. Williamson G. Covid-19 epidemic editorial. The Open Nursing J. 2020;14:37–38. doi: 10.2174/1874434602014010037. - DOI

LinkOut - more resources