Dynamics of epidemics: Impact of easing restrictions and control of infection spread

Souza, Sílvio L.T. de; Batista, Antônio M.; Caldas, Iberê L.; Iarosz, Kelly C.; Szezech, José D.

doi:10.1016/j.chaos.2020.110431

Cited by 10 publications

(7 citation statements)

References 38 publications

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“…Considering the SEIR model, we show the impact of easing restriction on the infection rate that was reported in Ref. [33].…”

Section: Introductionmentioning

confidence: 85%

“…It has been demonstrated that through the intensity of restrictions associated with the control policies to reduce the infection spread, it is possible to flat the curve associated with the temporal evolution of the infected people [33]. However, the results depend on the duration and specific time in which the restriction is applied.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, Souza et al [33] considered the SEIR model to analyse the impact of easing restriction on the infection rate during COVID-19 pandemic. They included a parameter related to the restriction r in the SEIR model, β → β(1 − r).…”

Section: The Seir Modelmentioning

confidence: 99%

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Simulation of deterministic compartmental models for infectious diseases dynamics

Batista

Souza

Iarosz

et al. 2021

Rev. Bras. Ensino Fís.

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Infectious diseases are caused by pathogenic microorganisms and can spread through different ways. Mathematical models and computational simulation have been used extensively to investigate the transmission and spread of infectious diseases. In other words, mathematical model simulation can be used to analyse the dynamics of infectious diseases, aiming to understand the effects and how to control the spread. In general, these models are based on compartments, where each compartment contains individuals with the same characteristics, such as susceptible, exposed, infected, and recovered. In this paper, we cast further light on some classical epidemic models, reporting possible outcomes from numerical simulation. Furthermore, we provide routines in a repository for simulations.

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“…Considering the SEIR model, we show the impact of easing restriction on the infection rate that was reported in Ref. [33].…”

Section: Introductionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of deterministic compartmental models for infectious diseases dynamics

Batista

Souza

Iarosz

et al. 2021

Rev. Bras. Ensino Fís.

Self Cite

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“…Both E and I exhibit peaks and R saturates when they go to zero. Recently, Souza et al [33] considered the SEIR model to analyse the impact of easing restriction on the infection rate during COVID-19 pandemic. They included a parameter related to the restriction r in the SEIR model, β → β(1 − r).…”

Section: The Seir Modelmentioning

confidence: 99%

Simulation of deterministic compartmental models for infectious diseases dynamics

Batista¹,

Souza²,

Iarosz³

et al. 2021

Preprint

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“…A three-week lockdown may be inadequate to prevent resurgence 67 . So, lockdown in phases with periodic relaxation can be suggested to eliminate the risk of resurface of the infection 68 .…”

Section: Lockdown Of the Epicentre Of Infection Regionmentioning

confidence: 99%

COVID-19: Understanding the Pandemic Emergence, Impact and Infection Prevalence Worldwide

Dey¹,

Vaijayanthimala²,

Dalvi³

et al. 2020

J Pure Appl Microbiol

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Coronavirus disease (COVID-19) has showed high transmission across the continents due to Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) with total infected cases of around ~ 44 million people. This communicable virus that initiated from the Wuhan city of China in the month of December 2020 has now spread to 189 different countries with 1.1 million fatalities worldwide (till 28 Oct, 2020). The World Health Organization (WHO) declared this outbreak as Public Health Emergency of International Concern in January, 2020. The infection spreads mainly due to contact with infected droplets or fomites, highlighting flu like symptoms initially, which may further progress into severe pneumonia and respiratory failure, often observed in elderly patients with prehistory of other diseases. The diagnosis is based on detection of viral antigen, human antibody and viral gene (RT-PCR). Further, various other diagnostic tools including X-ray, CT-scan are used for imaging purpose, recently artificial intelligence based imaging (contactless scanning) gained popularity. Generally testing of existing drugs (repurposing) and development of new molecules are the main strategies adopted by researchers. However, as per initial findings, various drugs, monoclonal antibody and plasma therapy were found to show effectiveness against COVID-19. Further, many vaccine candidates have entered or will soon enter phase III clinical testing. This disease has further challenged the global economy. Thus, this review uniquely compares the strategies adopted by developed and developing countries worldwide including protective measures like lockdown, continuous testing, utilizing latest tools (artificial intelligence) in curbing this infection spread.

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Dynamics of epidemics: Impact of easing restrictions and control of infection spread

Cited by 10 publications

References 38 publications

Simulation of deterministic compartmental models for infectious diseases dynamics

Simulation of deterministic compartmental models for infectious diseases dynamics

Simulation of deterministic compartmental models for infectious diseases dynamics

COVID-19: Understanding the Pandemic Emergence, Impact and Infection Prevalence Worldwide

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