Evidence map›Paper›PMID 36690971›Full record

ArticleBMC public health2023

Expectations of non-COVID-19 deaths during the pre-vaccine pandemic: a process-control approach.

Ralph Catalano, Joan A Casey, Alison Gemmill, Tim Bruckner

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Ralph CatalanoSchool of Public Health, University of California, Berkeley, CA, 94720, USA. rayc@berkeley.edu.
Joan A CaseyDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, USA.
Alison GemmillDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Tim BrucknerProgram in Public Health and Center for Population, Inequality and Policy, University of California, Irvine, USA. brucknet@uci.edu.

Funding

Racial disparities in preterm births and fetal lossesR01HD103736 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI BRUCKNER, TIM ALLEN · 2021 to 2025
$2.7M
NIH HHS 1R01HD103736-01A1 NIH
6 · The paper itself

Abstract

backgroundDebate over "social distancing" as a response to the pandemic includes the claim that disrupting clinical and public health programming dependent on human-to-human contact increased non-COVID-19 deaths. This claim warrants testing because novel pathogens will continue to emerge. Tests, however, appear frustrated by lack of a convention for estimating non-COVID-19 deaths that would have occurred had clinical and public health programming during the pre-vaccine pandemic remained as efficacious as in the pre-pandemic era. Intending to hasten the emergence of such a convention, we describe and demonstrate "new-signal, prior-response expectations" suggested by research and methods at the intersection of epidemiology and process control engineering.

methodsUsing German data, we estimate pre-pandemic public health efficacy by applying Box-Jenkins methods to 271 weekly counts of all-cause deaths from December 29 2014 through March 8 2020. We devise new-signal, prior-response expectations by applying the model to weekly non-COVID-19 deaths from March 9 2020 through December 26 2020.

resultsThe COVID-19 pandemic did not coincide with more non-COVID-19 deaths than expected from the efficacy of responses to pre-pandemic all-cause deaths.

conclusionsNew-signal, prior-response estimates can contribute to evaluating the efficacy of public health programming in reducing non-COVID-19 deaths during the pre-vaccine pandemic.

Indexed as

COVID-19HumansMotivationPandemicsPhysical DistancingAll-cause mortalityCOVID-19Germany

Identifiers

PMID36690971
PMCPMC9870657

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.