TY - JOUR
T1 - Understanding how Victoria, Australia gained control of its second COVID-19 wave
AU - Trauer, James M.
AU - Lydeamore, Michael J.
AU - Dalton, Gregory W.
AU - Pilcher, David
AU - Meehan, Michael T.
AU - McBryde, Emma S.
AU - Cheng, Allen C.
AU - Sutton, Brett
AU - Ragonnet, Romain
PY - 2021
Y1 - 2021
N2 - During 2020, Victoria was the Australian state hardest hit by COVID-19, but was successful in controlling its second wave through aggressive policy interventions. We calibrated a detailed compartmental model of Victoria’s second wave to multiple geographically-structured epidemic time-series indicators. We achieved a good fit overall and for individual health services through a combination of time-varying processes, including case detection, population mobility, school closures, physical distancing and face covering usage. Estimates of the risk of death in those aged ≥75 and of hospitalisation were higher than international estimates, reflecting concentration of cases in high-risk settings. We estimated significant effects for each of the calibrated time-varying processes, with estimates for the individual-level effect of physical distancing of 37.4% (95%CrI 7.2−56.4%) and of face coverings of 45.9% (95%CrI 32.9−55.6%). That the multi-faceted interventions led to the dramatic reversal in the epidemic trajectory is supported by our results, with face coverings likely particularly important.
AB - During 2020, Victoria was the Australian state hardest hit by COVID-19, but was successful in controlling its second wave through aggressive policy interventions. We calibrated a detailed compartmental model of Victoria’s second wave to multiple geographically-structured epidemic time-series indicators. We achieved a good fit overall and for individual health services through a combination of time-varying processes, including case detection, population mobility, school closures, physical distancing and face covering usage. Estimates of the risk of death in those aged ≥75 and of hospitalisation were higher than international estimates, reflecting concentration of cases in high-risk settings. We estimated significant effects for each of the calibrated time-varying processes, with estimates for the individual-level effect of physical distancing of 37.4% (95%CrI 7.2−56.4%) and of face coverings of 45.9% (95%CrI 32.9−55.6%). That the multi-faceted interventions led to the dramatic reversal in the epidemic trajectory is supported by our results, with face coverings likely particularly important.
UR - http://www.scopus.com/inward/record.url?scp=85118432153&partnerID=8YFLogxK
U2 - 10.1038/s41467-021-26558-4
DO - 10.1038/s41467-021-26558-4
M3 - Article
C2 - 34725323
AN - SCOPUS:85118432153
SN - 2041-1723
VL - 12
JO - Nature Communications
JF - Nature Communications
M1 - 6266
ER -