Evidence map›Paper›PMID 40325150›Full record

ArticleScientific reports2025

Revisiting the link between COVID-19 incidence and infection fatality rate during the first pandemic wave.

Benjamin Glemain, Charles Assaad, Walid Ghosn, Paul Moulaire, Xavier de Lamballerie, Marie Zins, Gianluca Severi, Mathilde Touvier, Jean-François Deleuze, SAPRIS-SERO study group and 2 more

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04392388 (Health, Perception, Practices, Relations and Social Inequalities in the General Population During the Covid-19 Crisis - Serology), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT04392388 completednot on this map

Health, Perception, Practices, Relations and Social Inequalities in the General Population During the Covid-19 Crisis - Serology

TypeobservationalSponsorInstitut National de la Santé Et de la Recherche Médicale, FranceRan2020 to 2023Enrolled96,883ConditionsSARS-CoV 2ArmsNon applicable
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Benjamin GlemainDépartement de santé publique, Sorbonne Université, Inserm, Institut Pierre-Louis d'épidémiologie et de santé publique, AP-HP, Hôpital Saint-Antoine, Paris, F-75012, France. benjamin.glemain@ipslep.upmc.fr.
Charles AssaadInserm, Institut Pierre-Louis d'épidémiologie et de santé publique, Sorbonne Université, F-75012, Paris, France.
Walid GhosnCentre d'épidémiologie sur les causes médicales de décès de l'Inserm-CépiDc, Paris, France.
Paul MoulaireInserm, Institut Pierre-Louis d'épidémiologie et de santé publique, Sorbonne Université, F-75012, Paris, France.
Xavier de LamballerieUnité des Virus Émergents, Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection, Marseille, France.
Marie ZinsParis University, Paris, France.
Gianluca SeveriCESP UMR1018, Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Villejuif, France.
Mathilde TouvierSorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France.
Jean-François DeleuzeFondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.
SAPRIS-SERO study group
Nathanaël Lapidus *Département de santé publique, Sorbonne Université, Inserm, Institut Pierre-Louis d'épidémiologie et de santé publique, AP-HP, Hôpital Saint-Antoine, Paris, F-75012, France.
Fabrice Carrat *Département de santé publique, Sorbonne Université, Inserm, Institut Pierre-Louis d'épidémiologie et de santé publique, AP-HP, Hôpital Saint-Antoine, Paris, F-75012, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies found an association between COVID-19 incidence, cumulated over the first pandemic wave, and the risk of death for infected individuals. They attributed this association to hospital overload. We studied this association across the French departments using 82,467 serological samples and a hierarchical Bayesian model with spatial smoothing. In high-incidence areas, we hypothesized that hospital overload would increase infection fatality rate (IFR) without increasing infection hospitalization rate (IHR). The analyses were adjusted for intensive care beds per capita, age of the population, and diabetes prevalence (as a surrogate for obesity). We found that increasing departmental incidence from 3 to 9% rose IFR from 0.42 to 1.14% (difference 0.72%, 95% CI 0.49-1.01%), and IHR from 1.66 to 3.61% (difference 1.94%, 95% CI 1.18-2.80%). An increase in incidence from 6 to 12% in people under 60 was associated with an increased proportion of people over 60 among those infected, from 11.6 to 17.4% (difference 5.8%, 95% CI 2.9-8.8%). Higher incidence increased the risk of death for infected individuals and their risk of hospitalization by the same magnitude. These findings could be explained by a higher age among infected individuals in high-incidence areas, rather by than hospital overload.

Indexed as

COVID-19AdolescentAdultAgedAged, 80 and overBayes TheoremChildChild, PreschoolFemaleFranceHospitalizationHumansIncidenceInfantMaleMiddle AgedBayesian statisticsCausal graphCOVID-19Hierarchical modelingHospital overloadSpatial modeling

Identifiers

PMID40325150
PMCPMC12053613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.