An Evolving Public Health Crisis Caused by the Rapid Spread of the SARS-CoV-2 Delta Variant

Rao, Sohail; Singh, Manish

doi:10.47488/dhrp.v1is4.20

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Recently, several new variants of COVID-19 have been identified in the United Kingdom (UK), South Africa, India and Brazil, and preliminary findings have been suggested that these mutations increase the transmissibility of the virus, [ 9 – 11 ]. The Delta variant, first reported in India, has been affecting currently in most of countries around the World, [ 12 ]. Studies on the variants of COVID-19 virus have been continuing and new mutants and variants are emerging.…”

Section: Introductionmentioning

confidence: 99%

An alternative approach to determination of Covid-19 personal risk index by using fuzzy logic

Şimşek

Yangın

2022

Health Technol.

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COVID-19 disease is an outbreak that seriously affected the whole world, occurred in December 2019, and thus was declared a global epidemic by WHO (World Health Organization). To reduce the impact of the epidemic on humans, it is important to detect the symptoms of the disease in a timely and accurate manner. Recently, several new variants of COVID-19 have been identified in the United Kingdom (UK), South Africa, Brazil and India, and preliminary findings have been suggested that these mutations increase the transmissibility of the virus. Therefore, the aim of this study is to construct a support system based on fuzzy logic for experts to help detect of COVID-19 infection risk in a timely and accurate manner and to get a numerical output on symptoms of the virus from every person. The decision support system consists of three different sub and one main Mamdani type fuzzy inference systems (FIS). Subsystems are Common- Serious symptoms (First), Rare Symptoms (Second) and Personal Information (Third). The first FIS has five inputs, fever-time, cough-time, fatigue-time, shortness of breath and chest pain/dysfunction; the second FIS has four inputs, Loss of Taste/Smell, Body Aches, Conjuctivitis, and Nausea/Vomiting/Diarrhea; and the third FIS has three inputs, Age, Smoke, and Comorbidities. Then, we obtain personal risk index of individual by combining the outputs of these subsystems in a final FIS. The results can be used by health professionals and epidemiologists to make inferences about public health. Numerical output can also be useful for self-control of an individual.

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Section: Introductionmentioning

confidence: 99%

An alternative approach to determination of Covid-19 personal risk index by using fuzzy logic

Şimşek

Yangın

2022

Health Technol.

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“…It should be noted that, as in the past, the SARS-CoV-2 virus will continue to mutate. 1 Today, one type of SARS-CoV-2 that is a rapidly spreading concern in the United States is B.1.617.2, 1 which is called deltacoronavirus. The risk of hospitalization in people infected with the delta type of SARS-CoV-2 has doubled compared to the alpha type, 2 which is a reason for the increased anxiety of medical staff.…”

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confidence: 99%

Evaluation of the effect of deltacoronavirus epidemic on sleep quality of operating room staff after vaccination

Merajikhah

Soleimani

Beigi-Khoozani

2022

Journal of Healthcare Quality Research

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Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling

Zhu

Gao

Zhong

et al. 2021

Computers in Biology and Medicine

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This paper presents a new stochastic-based method for modelling and analysis of COVID-19 spread. A new deterministic Susceptible, Exposed, Infectious, Recovered (Re-infected) and Deceased-based Social Distancing model, named SEIR(R)D-SD, is proposed by introducing the re-infection rate and social distancing factor into the traditional SEIRD (Susceptible, Exposed, Infectious, Recovered and Deceased) model to account for the effects of re-infection and social distancing on COVID-19 spread. The deterministic SEIRD(R)D-SD model is further converted into the stochastic form to account for uncertainties involved in COVID-19 spread. Based on this, an extended Kalman filter (EKF) is developed based on the stochastic SEIR(R)D-SD model to simultaneously estimate both model parameters and transmission state of COVID-19 spread. Simulation results and comparison analyses demonstrate that the proposed method can effectively account for the re-infection and social distancing as well as uncertain effects on COVID-19 spread, leading to improved accuracy for prediction of COVID-19 spread.

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An Evolving Public Health Crisis Caused by the Rapid Spread of the SARS-CoV-2 Delta Variant

Cited by 3 publications

References 5 publications

An alternative approach to determination of Covid-19 personal risk index by using fuzzy logic

An alternative approach to determination of Covid-19 personal risk index by using fuzzy logic

Evaluation of the effect of deltacoronavirus epidemic on sleep quality of operating room staff after vaccination

Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling

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