A mathematical model to assess the impact of testing and isolation compliance on the transmission of COVID-19
| dc.contributor.author | Gao, Shasha | |
| dc.contributor.author | Binod, Pant | |
| dc.contributor.author | Chukwu, Chidozie Williams | |
| dc.contributor.author | Kwofie, Theophilus | |
| dc.contributor.author | Safdar, Salman | |
| dc.contributor.author | Newman, Lora | |
| dc.contributor.author | Choe, Seoyun | |
| dc.contributor.author | Datta, Bimal Kumar | |
| dc.contributor.author | Attipoe, Wisdom Kwame | |
| dc.contributor.author | Zhang, Wenjing | |
| dc.contributor.author | van den Driessche, P. | |
| dc.date.accessioned | 2023-11-30T17:37:25Z | |
| dc.date.available | 2023-11-30T17:37:25Z | |
| dc.date.copyright | 2023 | en_US |
| dc.date.issued | 2023 | |
| dc.description.abstract | 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 RC, 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 RC=7.989. Both elasticity and sensitivity analyses show that testing and compliance with isolation are significant in reducing RC 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. | en_US |
| dc.description.reviewstatus | Reviewed | en_US |
| dc.description.scholarlevel | Faculty | en_US |
| dc.description.sponsorship | The authors thank the Department of Mathematics at the University of Central Florida, which received funding through the NSF Grant DMS-2132585 to provide support to organize and participate in the “CBMS Conference: Interface of Mathematical Biology and Linear Algebra” where this research was initiated and developed. We especially thank Prof. Zhisheng Shuai, who so ably organized this event. The authors also thank the two anonymous reviewers and the associate editor for their helpful comments. L.N. was partially funded by the Charles Phelps Taft Research Center at the University of Cincinnati, the research of PvdD is partially supported by an NSERC Discovery Grant 2016-03677, and the research ofW.Z. is supported by Simons Foundation, Award Number: 714029. | en_US |
| dc.identifier.citation | Gao, S., Binod, P., Chukwu, C. W., Kwofie, T., Safdar, S., Newman, L., ... van den Driessche, P. (2023). A mathematical model to assess the impact of testing and isolation compliance on the transmission of COVID-19. Infectious Disease Modelling, 8(2), 427-444. https://doi.org/10.1016/j.idm.2023.04.005 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.idm.2023.04.005 | |
| dc.identifier.uri | http://hdl.handle.net/1828/15660 | |
| dc.language.iso | en | en_US |
| dc.publisher | Infectious Disease Modelling | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | Testing | en_US |
| dc.subject | Compliance | en_US |
| dc.subject | Isolation | en_US |
| dc.subject | New York state | en_US |
| dc.title | A mathematical model to assess the impact of testing and isolation compliance on the transmission of COVID-19 | en_US |
| dc.type | Article | en_US |