Ontology highlight
ABSTRACT: Background
The 'third wave' of COVID-19 in Hong Kong, China was suppressed by non-pharmaceutical interventions (NPIs). Although social distancing regulations were quickly strengthened, the outbreak continued to grow, causing increasing delays in tracing and testing. Further regulations were introduced, plus 'targeted testing' services for at-risk groups. Estimating the impact of individual NPIs could provide lessons about how outbreaks can be controlled without radical lockdown. However, the changing delays in confirmation time challenge current modelling methods. We used a novel approach aimed at disentangling and quantifying the effects of individual interventions.Methods
We incorporated the causes of delays in tracing and testing (i.e. load-efficiency relationship) and t
SUBMITTER: Yuan HY
PROVIDER: S-EPMC8683252 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature