Evidence map›Paper›PMID 36368766›Full record

ReviewBMJ global health2022

Understanding the impact of lockdowns on short-term excess mortality in Australia.

Philip Clarke, Andrew Leigh

Abstract readReview
In one paragraph

Review in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Philip ClarkeNuffield Department of Population Health, University of Oxford, Oxford, UK Philip.Clarke@NDPH.ox.ac.uk.ORCID 0000-0002-7555-5348
Andrew LeighParliament of Australia, Canberra, Australian Capital Territory, Australia.ORCID 0000-0002-5639-0509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During 2020 and 2021, Australia implemented relatively stringent government restrictions yet had few COVID-19 deaths. This provides an opportunity to understand the effects of lockdowns and quarantining restrictions on short-term mortality and to help provide evidence in understanding how such public health policies can impact on health. Our analysis is based on preliminary mortality data collected by the Australian Bureau of Statistics. Rates were estimated by disease and over time and compared with mortality statistics in the period 2015-2019. Comparing deaths in 2020-2021 with 2015-2019 show the annual mortality rate (per 100 000 people) fell by 5.9% from 528.4 in 2015-2019 to 497.0 in 2020-2021. Declines in mortality are across many disease categories including respiratory diseases (down 9.4 deaths per 100 000), cancer (down 7.5 deaths per 100 000) and heart disease (down 8.4 deaths per 100 000). During 2020 and 2021, Australian age-standardised mortality rates fell by 6%. This drop was similar for men and women, and was driven by a reduction in both communicable and non-communicable causes of death. Such evidence can help inform public health policies designed to both control COVID-19 and other infectious diseases.

Indexed as

Communicable DiseasesCOVID-19AustraliaCause of DeathCommunicable Disease ControlFemaleHumansMaleCOVID-19Health economics

Identifiers

PMID36368766
PMCPMC9659711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.