Evidence map›Paper›PMID 36347597›Full record

ArticleJournal of epidemiology and community health2022

Epidemiology of SARS-CoV-2 during the first three waves in Scotland: a national record linkage study.

Kirstin Leslie, Beth Findlay, Theresa Ryan, Leonardo I Green, Ciaran Harvey, Alice E Whettlock, Jen Bishop, Vicki Ponce Hardy, April Went, Lesley Wallace and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. 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

13 authors at 1 institution in 1 country.

Kirstin LeslieClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK kirstin.leslie@phs.scot.ORCID http://orcid.org/0000-0001-5103-425X
Beth FindlayClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK.
Theresa RyanData Driven Innovation, Public Health Scotland Glasgow Office, Glasgow, UK.
Leonardo I GreenClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK.
Ciaran HarveyData Driven Innovation, Public Health Scotland Glasgow Office, Glasgow, UK.
Alice E WhettlockClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK.
Jen BishopData Driven Innovation, Public Health Scotland Glasgow Office, Glasgow, UK.
Vicki Ponce HardyPlace and Wellbeing, Public Health Scotland, Edinburgh, UK.ORCID http://orcid.org/0000-0003-0837-5862
April WentData Driven Innovation, Public Health Scotland Glasgow Office, Glasgow, UK.
Lesley WallaceClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK.
Allan McLeodClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK.
Amanda WeirClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK.
Kimberly MarshClinical and Protecting Health, Public Health Scotland Glasgow Office, Glasgow, UK.
Public Health Scotland · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe early COVID-19 pandemic in Scotland-defined as the era before widespread access to vaccination and monoclonal antibody treatment-can be characterised into three distinct waves: March-July 2020, July 2020-April 2021 and May-August 2021. Each wave was met with various societal restrictions in an effort to reduce disease transmission and associated morbidity and mortality. Understanding the epidemiology of infections during these waves can provide valuable insights into future pandemic planning.

methodsScottish RT-PCR testing data reported up until 8 August 2021, the day prior to most restrictions being lifted in Scotland, were included. Demographic characteristics including age, sex and social deprivation associated with transmission, morbidity and mortality were compared across waves. A case-control analysis for each wave was then modelled to further compare risk factors associated with death over time.

resultsOf the 349 904 reported cases, there were 18 099, 197 251 and 134 554 in waves 1, 2 and 3, respectively. Hospitalisations, intensive care unit admissions and deaths appeared highest in wave 2, though risk factors associated with COVID-19 death remained similar across the waves. Higher deprivation and certain comorbidities were associated with higher deaths in all waves.

conclusionsDespite the higher number of cases reported in waves 2 and 3, case fatality rates were lower: likely a combination of improved detection of infections in younger age groups, introduction of social measures and vaccination. Higher social deprivation and comorbidities resulted in higher deaths for all waves.

Indexed as

COVID-19DEATHEPIDEMIOLOGIC MEASUREMENTSHEALTH POLICYPUBLIC HEALTH

Identifiers

PMID36347597
PMCPMC9763220
OpenAlexW4308527181

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.