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Mathematical Modelling of the COVID-19 Epidemic in Northern Ireland in 2020 被引量:1
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作者 Peter A. Hall gabor kiss +3 位作者 Tilman Kuhn Salissou Moutari Ellen Patterson Emily Smith 《Open Journal of Modelling and Simulation》 2021年第2期91-110,共20页
In this study, we investigate the dynamics of the COVID-19 epidemic in Northern Ireland from 1<sup>st</sup> March 2020 up to 25<sup>th</sup> December 2020, using sever</span><span>&... In this study, we investigate the dynamics of the COVID-19 epidemic in Northern Ireland from 1<sup>st</sup> March 2020 up to 25<sup>th</sup> December 2020, using sever</span><span><span style="font-family:Verdana;">al copies of a Susceptible-Exposed-Infectious-Recovered (<i></span><i><span style="font-family:Verdana;">SEIR</span></i><span style="font-family:Verdana;"></i>) compart</span></span><span style="font-family:Verdana;">mental model, and compare it to </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">a </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">detailed publicly available dataset. We split the data into 10 time intervals and fit the models on the consecutive intervals to the cumulative number of confirmed positive cases on each interval. Using the fitted parameter estimates, we also provide estimates of the reproduction number.</span><span style="font-family:Verdana;"> We also discuss the limitations and possible extensions of the employed model. 展开更多
关键词 PANDEMIC EPIDEMIC SARS-CoV-2 COVID-19 Compartmental Model SEIR Model Basic Reproduction Number Effective Reproduction Number Parameter Estimates Fitted Model
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Estimating the Level of Asymptomatic COVID-19 Infections in Northern Ireland in 2020
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作者 Peter A. Hall gabor kiss +3 位作者 Tilman Kuhn Salissou Moutari Ellen Patterson Emily Smith 《Open Journal of Modelling and Simulation》 2022年第2期190-218,共29页
The identification and understanding of COVID-19 potential routes of transmission are fundamental to informing policies and strategies to successfully control the outbreak. Various studies highlighted asymptomatic inf... The identification and understanding of COVID-19 potential routes of transmission are fundamental to informing policies and strategies to successfully control the outbreak. Various studies highlighted asymptomatic infections as one of the silent drivers of the epidemic. An accurate estimation of the asymptomatic cases and the understanding of their contribution to the spread of the disease could enhance the effectiveness of current control strategies, mainly based on the symptom onset, to curb transmission. We investigate the dynamics of the COVID-19 epidemic in Northern Ireland during the period 1st March 25th to December 2020 to estimate the proportion of the asymptomatic infections in the country. We extended our previous model to include the stage of the asymptomatic infection, and we implement the corresponding deterministic model using a publicly available dataset. We partition the data into 11 sets over the period of study and fit the model parameters on the consecutive intervals using the cumulative number of confirmed positive cases for each interval. Moreover, we assess numerically the impacts of uncertainty in testing and we provide estimates of the reproduction numbers using the fitted parameters. We found that the proportion of asymptomatically infectious subpopulations, in Northern Ireland during the period of study, ranged between 5% and 25% of exposed individuals. Also, the estimate of the basic reproduction number, R<sub>0</sub>, is 3.3089. The lower and upper estimates for herd immunity are (0.6181, 0.7243) suggesting that around 70% of the population of Northern Ireland should acquire immunity via infection or vaccination, which is in line with estimates reported in other studies. 展开更多
关键词 Pandemic EPIDEMIC SARS-CoV-2 COVID-19 Compartmental Model SEIAR Model Basic Reproduction Number Effective Reproduction Number Parameter Estimates Fitted Model Testing Uncertainty Asymptomatic Infection Northern Ireland
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