Evidence map›Paper›PMID 34725323›Full record

ArticleNature communications2021

Understanding how Victoria, Australia gained control of its second COVID-19 wave.

James M Trauer, Michael J Lydeamore, Gregory W Dalton, David Pilcher, Michael T Meehan, Emma S McBryde, Allen C Cheng, Brett Sutton, Romain Ragonnet

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

James M TrauerSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. james.trauer@monash.edu.ORCID 0000-0002-0991-1631
Michael J LydeamoreCentral Clinical School, Monash University, Melbourne, VIC, Australia.ORCID 0000-0001-6515-827X
Gregory W DaltonVictorian Department of Health, Government of Victoria, Melbourne, VIC, Australia.
David PilcherSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Michael T MeehanAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia.
Emma S McBrydeAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia.ORCID 0000-0002-9570-9172
Allen C ChengSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Brett SuttonVictorian Department of Health, Government of Victoria, Melbourne, VIC, Australia.
Romain RagonnetSchool of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.ORCID 0000-0001-8520-2362

Funding

Department of Health | National Health and Medical Research Council (NHMRC) APP1142638
6 · The paper itself

Abstract

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.

Indexed as

EpidemicsAdolescentAdultCOVID-19HospitalizationHumansMiddle AgedModels, TheoreticalPhysical DistancingSARS-CoV-2SchoolsVictoriaYoung Adult

Identifiers

PMID34725323
PMCPMC8560916

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.