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The impact of asymptomatic individuals on the strength of public health interventions to prevent the second outbreak of COVID-19.
Wang, Xiaochen; Wang, Shengfeng; Lan, Yueheng; Tao, Xiaofeng; Xiao, Jinghua.
  • Wang X; National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, 100876 China.
  • Wang S; School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876 China.
  • Lan Y; School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876 China.
  • Tao X; State Key Lab of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, 100876 China.
  • Xiao J; National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, 100876 China.
Nonlinear Dyn ; 101(3): 2003-2012, 2020.
Article in English | MEDLINE | ID: covidwho-1906358
Semantic information from SemMedBD (by NLM)
1. Asymptomatic PROCESS_OF Persons
Subject
Asymptomatic
Predicate
PROCESS_OF
Object
Persons
2. IMPACT gene PART_OF Persons
Subject
IMPACT gene
Predicate
PART_OF
Object
Persons
3. Asymptomatic PROCESS_OF Persons
Subject
Asymptomatic
Predicate
PROCESS_OF
Object
Persons
4. IMPACT gene PART_OF Persons
Subject
IMPACT gene
Predicate
PART_OF
Object
Persons
ABSTRACT
The pandemic of coronavirus disease 2019 (COVID-19) has threatened the social and economic structure all around the world. Generally, COVID-19 has three possible transmission routes, including pre-symptomatic, symptomatic and asymptomatic transmission, among which the last one has brought a severe challenge for the containment of the disease. One core scientific question is to understand the influence of asymptomatic individuals and of the strength of control measures on the evolution of the disease, particularly on a second outbreak of the disease. To explore these issues, we proposed a novel compartmental model that takes the infection of asymptomatic individuals into account. We get the relationship between asymptomatic individuals and critical strength of control measures theoretically. Furthermore, we verify the reliability of our model and the accuracy of the theoretical analysis by using the real confirmed cases of COVID-19 contamination. Our results, showing the importance of the asymptomatic population on the control measures, would provide useful theoretical reference to the policymakers and fuel future studies of COVID-19.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study Language: English Journal: Nonlinear Dyn Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study Language: English Journal: Nonlinear Dyn Year: 2020 Document Type: Article