Evidence map›Paper›PMID 35058508›Full record

ArticleScientific reports2022

Variation in excess all-cause mortality by age, sex, and province during the first wave of the COVID-19 pandemic in Italy.

Nathaniel J Henry, Ahmed Elagali, Michele Nguyen, Michael Give Chipeta, Catrin E Moore

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. 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

5 authors at 3 institutions in 3 countries.

Nathaniel J HenryBig Data Institute, Li Ka Shing Centre for Information Discovery, University of Oxford, Oxford, UK. nathaniel.henry@ndm.ox.ac.uk.ORCID 0000-0001-8150-4988
Ahmed ElagaliTelethon Kids Institute, Perth Children's Hospital, Perth, WA, Australia.
Michele NguyenAsian School of the Environment, Nanyang Technological University, Singapore, 639798, Singapore.ORCID 0000-0001-9017-1978
Michael Give ChipetaBig Data Institute, Li Ka Shing Centre for Information Discovery, University of Oxford, Oxford, UK.ORCID 0000-0001-5882-9936
Catrin E MooreBig Data Institute, Li Ka Shing Centre for Information Discovery, University of Oxford, Oxford, UK.ORCID 0000-0002-8639-9846
University of Oxford · GBNanyang Technological University · SGThe Kids Research Institute Australia · AU

Funding

Bill and Melinda Gates Foundation (Bill and Melinda Gates Foundation) OPP1152978Bill and Melinda Gates Foundation (Bill and Melinda Gates Foundation) OPP1176062Wellcome TrustWellcome Trust 203141/Z/16/ZWellcome Trust 209142/Z/17/ZWellcome Trust 221579/Z/20/ZWellcome Trust (Wellcome) 209142/Z/17/Z
6 · The paper itself

Abstract

Although previous evidence suggests that the infection fatality rate from COVID-19 varies by age and sex, and that transmission intensity varies geographically within countries, no study has yet explored the age-sex-space distribution of excess mortality associated with the COVID pandemic. By applying the principles of small-area estimation to existing model formulations for excess mortality, this study develops a novel method for assessing excess mortality across small populations and assesses the pattern of COVID excess mortality by province, year, week, age group, and sex in Italy from March through May 2020. We estimate that 53,200 excess deaths occurred across Italy during this time period, compared to just 35,500 deaths where COVID-19 was registered as the underlying cause of death. Out of the total excess mortality burden, 97% of excess deaths occurred among adults over age 60, and 68% of excess deaths were concentrated among adults over age 80. The burden of excess mortality was unevenly distributed across the country, with just three of Italy's 107 provinces accounting for 32% of all excess mortality. This method for estimating excess mortality can be adapted to other countries where COVID-19 diagnostic capacity is still insufficient, and could be incorporated into public health rapid response systems.

Indexed as

MortalityPandemicsSARS-CoV-2AdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolCOVID-19FemaleHumansInfantInfant, NewbornItaly

Identifiers

PMID35058508
PMCPMC8776797
OpenAlexW4206458850

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.