Monitoring mortality in the setting of COVID-19 pandemic control in Victoria, Australia: a time series analysis of population data.

Interpretation of how pandemic restrictions impacted mortality in Victoria in 2020 is influenced by the method of estimation. Time-series approaches are preferential because they account for population trends in mortality over time.

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Publication Details

Journal
PubMed
Published
2025-05-10
DOI
https://doi.org/10.5365/wpsar.2025.16.01.1091
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Monitoring mortality in the setting of COVID-19 pandemic control in Victoria, Australia: a time series analysis of population data.

Daneeta Hennessy, Sheena G. Sullivan, Lalitha Sundaresan, David Muscatello et al.
PubMed
COVID-19 epidemiological studies
article

Monitoring mortality in the setting of COVID-19 pandemic control in Victoria, Australia: a time series analysis of population data.

Daneeta Hennessy, Sheena G. Sullivan, Lalitha Sundaresan, David Muscatello, Stacey L Rowe
article en

Abstract

Interpretation of how pandemic restrictions impacted mortality in Victoria in 2020 is influenced by the method of estimation. Time-series approaches are preferential because they account for population trends in mortality over time.

PubMedVol. 16(1)
The Royal Melbourne Hospital (AU), University of California, Los Angeles (US), UNSW Sydney (AU), Melbourne Health (AU), Monash University (AU), Mathematica Policy Research (US)
Australian Government, State Government of Victoria, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 96%
COVID-19 epidemiological studies
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Monitoring mortality in the setting of COVID-19 pandemic control in Victoria, Australia: a time series analysis of population data. — Daneeta Hennessy, Sheena G. Sullivan, et al. · PubMed (2025) | TGRS Research Map | TGRS