Impact of lockdowns on the spread of COVID-19 in Saudi Arabia

Alrashed, Saleh; Min‐Allah, Nasro; Saxena, Arnav; Ali, Ijaz; Mehmood, Rashid

doi:10.1016/j.imu.2020.100420

Cited by 63 publications

(74 citation statements)

References 25 publications

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“… 33 Mathematically, in very early stage of COVID-19 pandemic, the epidemiological model called Susceptible Infectious Exposed Recovered (SEIR) have been found as suitable model for COVID-19 spread predictions in Saudi Arabia. 34 They predicted number of infections can be lowered to 0.4 million by September 2020. This study demonstrates that, with a stricter level of lockdowns, the COVID-19 curve can be effectively flattened in Saudi Arabi.…”

Section: Impact Of Covid-19 On Urological Proceduresmentioning

confidence: 99%

Impact of COVID-19 on Urology Practice in Saudi Arabia

Alzahrani¹,

Alkhamees²,

Almutairi³

et al. 2021

RMHP

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From the moment the World Health Organization (WHO) declared COVID-19 to be a pandemic disease, COVID-19 began to affect the lives of many healthcare providers worldwide. In response to this pandemic, urology departments and training residency programs implemented urgent measures to reduce outpatient clinics, adopted the use of telemedicine, regulated emergency and outpatient urological procedures, promoted the use of operating theatres, and developed the use of sustainable e-learning alternatives to traditional urology educational activities. We reviewed the response of urologists in Saudi Arabia to the COVID-19 pandemic and how they react to the emerging pandemic both for patients and for healthcare of urologist personnel.

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Section: Impact Of Covid-19 On Urological Proceduresmentioning

confidence: 99%

Impact of COVID-19 on Urology Practice in Saudi Arabia

Alzahrani¹,

Alkhamees²,

Almutairi³

et al. 2021

RMHP

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“…A deterministic mathematical model based on susceptible, infectious, exposed, and recovered (SEIR) persons is developed to predict the COVID-19 outbreak. This model considers the effect of lockdown to estimate the number of affected people in Saudi Arabia [ 15 ].…”

Section: Literature Reviewmentioning

confidence: 99%

A numerical approach to maximize the number of testing of COVID-19 using conditional cluster sampling method

Zoha

Ghosh

Arif-Ul-Islam

et al. 2021

Informatics in Medicine Unlocked

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The COVID-19 pandemic is the defining health crisis of the world in 2020 and the world economy is affected as well. Bangladesh is also one of the impacted countries, which needs to conduct sufficient tests to identify patients and accordingly adopt measures to limit the massive outbreak of this viral infection. But due to economic drawbacks and also unavailability of testing equipment, Bangladesh is lagging critically behind in test numbers. This study shows a pool testing method named Conditional Cluster Sampling (CCS) that utilizes soft computing and data analysis techniques to reduce the expense of total testing equipment. The proposed method also demonstrates its effectiveness compared to the traditional individual testing method. Firstly, according to patients’ symptoms and severity of their conditions, they are classified into four classes- Minor, Moderate, Major, Critical. After that Random Forest Classifier (RFC) is used to predict the class. Then random sampling is done from each class according to CCS. Finally, using Monte Carlo Simulation (MCS) for 100 cycles, the effectiveness of CCS is demonstrated for different probability levels of infection. It is shown that the CCS method can save up to 22% of the test kits that can save a huge amount of money as well as testing time.

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“…Therefore, discrete epidemic models have been found appropriate for processing such data. See, for instance, [ 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ] and some related references therein. Studies on particular data for different countries or regions can be found in the literature related to COVID-19, sometimes related to public interventions, such as quarantines, isolation measures, lockdowns, use of masks, social distance rules, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Studies on particular data for different countries or regions can be found in the literature related to COVID-19, sometimes related to public interventions, such as quarantines, isolation measures, lockdowns, use of masks, social distance rules, etc. See, for instance, those concerned with Saudi Arabia [ 16 , 17 ], Madrid capital town, metropolitan area and surrounding administrative area [ 18 , 19 ], India [ 23 , 24 ], Italy [ 25 ], United States [ 26 ], Canada and several of its provinces [ 28 ], Switzerland, [ 29 ], Brazil [ 30 ], etc. In addition, the analysis of data has been sometimes accompanied with mathematical analysis techniques on the pandemic evolution related to public interventions or mathematically founded analysis of the obtained data.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the analysis of data has been sometimes accompanied with mathematical analysis techniques on the pandemic evolution related to public interventions or mathematically founded analysis of the obtained data. In that way, the impact of lockdowns is investigated in [ 17 ], while the effects of total or partial quarantines are investigated in [ 18 ] for a SEIAR model, which incorporates the asymptomatic subpopulation to the typical SEIR model by considering the isolated population as removed either from the infectious individuals or from the susceptible ones. In [ 19 ], a more general model of potential usefulness in the description and monitoring of COVID-19 has been proposed, discussed, and tested with recorded real data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On a Discrete SEIR Epidemic Model with Two-Doses Delayed Feedback Vaccination Control on the Susceptible

et al. 2021

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A new discrete susceptible-exposed-infectious-recovered (SEIR) epidemic model is presented subject to a feedback vaccination effort involving two doses. Both vaccination doses, which are subject to a non-necessarily identical effectiveness, are administrated by respecting a certain mutual delay interval, and their immunity effect is registered after a certain delay since the second dose. The delays and the efficacies of the doses are parameters, which can be fixed in the model for each concrete experimentation. The disease-free equilibrium point is characterized as well as its stability properties, while it is seen that no endemic equilibrium point exists. The exposed subpopulation is supposed to be infective eventually, under a distinct transmission rate of that of the infectious subpopulation. Some simulation examples are presented by using disease parameterizations of the COVID-19 pandemic under vaccination efforts requiring two doses.

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Impact of lockdowns on the spread of COVID-19 in Saudi Arabia

Cited by 63 publications

References 25 publications

Impact of COVID-19 on Urology Practice in Saudi Arabia

Impact of COVID-19 on Urology Practice in Saudi Arabia

A numerical approach to maximize the number of testing of COVID-19 using conditional cluster sampling method

On a Discrete SEIR Epidemic Model with Two-Doses Delayed Feedback Vaccination Control on the Susceptible

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