Physics and Astronomy Faculty Publications and Presentations
Document Type
Article
Publication Date
2021
Abstract
The imposition and lifting of non-pharmaceutical interventions (NPIs) to avert the COVID19 pandemic have gained popularity worldwide and will continue to be enforced until herd immunity is achieved. We developed a linear regression model to ascertain the nexus between the time-varying reproduction number averaged over a time window of six days (Rts) and seven NPIs: contact tracing, quarantine efforts, social distancing and health checks, hand hygiene, wearing of facemasks, lockdown and isolation, and health-related supports. Our analysis suggests that the second wave that emerged in Sri Lanka in early October 2020 continued despite numerous NPIs. The model indicates that the most effective single NPI was lockdown and isolation. Conversely, the least effective individual NPIs were hand hygiene and wearing of facemasks. The model also demonstrates that to mitigate the second wave to a satisfactory level (Rts
Recommended Citation
Jayaweera, Mahesh, Chamath Dannangoda, Dilum Dilshan, Janith Dissanayake, Hasini Perera, Jagath Manatunge, and Buddhika Gunawardana. "Grappling with COVID-19 by imposing and lifting non-pharmaceutical interventions in Sri Lanka: a modeling perspective." Infectious Disease Modelling 6 (2021): 820-831. https://doi.org/10.1016/j.idm.2021.06.004
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Publication Title
Infectious Disease Modelling
DOI
10.1016/j.idm.2021.06.004
Comments
Copyright 2021 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.