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Impacts of social distancing on the spread of infectious diseases with asymptomatic infection: A mathematical model.
Huang, He; Chen, Yahong; Yan, Zhijun.
  • Huang H; School of Economics and Management, China University of Geosciences (Beijing), Beijing 100083, China.
  • Chen Y; School of Information, Beijing Wuzi University, Beijing 101149, China.
  • Yan Z; School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China.
Appl Math Comput ; 398: 125983, 2021 Jun 01.
Article in English | MEDLINE | ID: covidwho-1031636
ABSTRACT
Social distancing can be divided into two categories spontaneous social distancing adopted by the individuals themselves, and public social distancing promoted by the government. Both types of social distancing have been proved to suppress the spread of infectious disease effectively. While previous studies examined the impact of each social distancing separately, the simultaneous impacts of them are less studied. In this research, we develop a mathematical model to analyze how spontaneous social distancing and public social distancing simultaneously affect the outbreak threshold of an infectious disease with asymptomatic infection. A communication-contact two-layer network is constructed to consider the difference between spontaneous social distancing and public social distancing. Based on link overlap of the two layers, the two-layer network is divided into three subnetworks communication-only network, contact-only network, and overlapped network. Our results show that public social distancing can significantly increase the outbreak threshold of an infectious disease. To achieve better control effect, the subnetwork of higher infection risk should be more targeted by public social distancing, but the subnetworks of lower infection risk shouldn't be overlooked. The impact of spontaneous social distancing is relatively weak. On the one hand, spontaneous social distancing in the communication-only network has no impact on the outbreak threshold of the infectious disease. On the other hand, the impact of spontaneous social distancing in the overlapped network is highly dependent on the detection of asymptomatic infection sources. Moreover, public social distancing collaborates with infection detection on controlling an infectious disease, but their impacts can't add up perfectly. Besides, public social distancing is slightly less effective than infection detection, because infection detection can also promote spontaneous social distancing.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Appl Math Comput Year: 2021 Document Type: Article Affiliation country: J.amc.2021.125983

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Appl Math Comput Year: 2021 Document Type: Article Affiliation country: J.amc.2021.125983