Rysava, Kristyna and Tildesley, Michael J. and Perkins, Alex (2023) Identification of dynamical changes of rabies transmission under quarantine: Community-based measures towards rabies elimination. PLOS Computational Biology, 19 (12). e1011187. ISSN 1553-7358
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Abstract
Quarantine has been long used as a public health response to emerging infectious diseases, particularly at the onset of an epidemic when the infected proportion of a population remains identifiable and logistically tractable. In theory, the same logic should apply to low-incidence infections; however, the application and impact of quarantine in low prevalence settings appears less common and lacks a formal analysis. Here, we present a quantitative framework using a series of progressively more biologically realistic models of canine rabies in domestic dogs and from dogs to humans, a suitable example system to characterize dynamical changes under varying levels of dog quarantine. We explicitly incorporate health-seeking behaviour data to inform the modelling of contact-tracing and exclusion of rabies suspect and probable dogs that can be identified through bite-histories of patients presenting at anti-rabies clinics. We find that a temporary quarantine of rabies suspect and probable dogs provides a powerful tool to curtail rabies transmission, especially in settings where optimal vaccination coverage is yet to be achieved, providing a critical stopgap to reduce the number of human and animal deaths due to rabid bites. We conclude that whilst comprehensive measures including sensitive surveillance and large-scale vaccination of dogs will be required to achieve disease elimination and sustained freedom given the persistent risk of rabies re-introductions, quarantine offers a low-cost community driven solution to intersectoral health burden.
Item Type: | Article |
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Subjects: | Eprint Open STM Press > Biological Science |
Depositing User: | Unnamed user with email admin@eprint.openstmpress.com |
Date Deposited: | 10 Apr 2024 12:50 |
Last Modified: | 10 Apr 2024 12:50 |
URI: | http://library.go4manusub.com/id/eprint/2118 |