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A mathematical model to assess the impact of testing and isolation compliance on the transmission of COVID-19 被引量:3
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作者 Shasha Gao Pant Binod +8 位作者 Chidozie Williams Chukwu Theophilus Kwofie Salman Safdar Lora Newman Seoyun Choe bimal kumar datta Wisdom Kwame Attipoe Wenjing Zhang P.van den Driessche 《Infectious Disease Modelling》 CSCD 2023年第2期427-444,共18页
The COVID-19 pandemic has ravaged global health and national economies worldwide.Testing and isolation are effective control strategies to mitigate the transmission of COVID-19,especially in the early stage of the dis... The COVID-19 pandemic has ravaged global health and national economies worldwide.Testing and isolation are effective control strategies to mitigate the transmission of COVID-19,especially in the early stage of the disease outbreak.In this paper,we develop a deterministic model to investigate the impact of testing and compliance with isolation on the transmission of COVID-19.We derive the control reproduction number R_(C),which gives the threshold for disease elimination or prevalence.Using data from New York State in the early stage of the disease outbreak,we estimate R_(C)=7:989.Both elasticity and sensitivity analyses show that testing and compliance with isolation are significant in reducing R_(C) and disease prevalence.Simulation reveals that only high testing volume combined with a large proportion of individuals complying with isolation have great impact on mitigating the transmission.The testing starting date is also crucial:the earlier testing is implemented,the more impact it has on reducing the infection.The results obtained here would also be helpful in developing guidelines of early control strategies for pandemics similar to COVID-19. 展开更多
关键词 COVID-19 TESTING COMPLIANCE ISOLATION New York state
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