TY - JOUR
T1 - Revisiting the link between COVID-19 incidence and infection fatality rate during the first pandemic wave
AU - SAPRIS-SERO Study Group
AU - Glemain, Benjamin
AU - Assaad, Charles
AU - Ghosn, Walid
AU - Moulaire, Paul
AU - de Lamballerie, Xavier
AU - Zins, Marie
AU - Severi, Gianluca
AU - Touvier, Mathilde
AU - Deleuze, Jean François
AU - Lapidus, Nathanaël
AU - Carrat, Fabrice
AU - Ancel, Pierre Yves
AU - Charles, Marie Aline
AU - Kab, Sofiane
AU - Renuy, Adeline
AU - Le-Got, Stephane
AU - Ribet, Celine
AU - Pellicer, Mireille
AU - Wiernik, Emmanuel
AU - Goldberg, Marcel
AU - Artaud, Fanny
AU - Gerbouin-Rérolle, Pascale
AU - Enguix, Mélody
AU - Laplanche, Camille
AU - Gomes-Rima, Roselyn
AU - Hoang, Lyan
AU - Correia, Emmanuelle
AU - Barry, Alpha Amadou
AU - Senina, Nadège
AU - Allegre, Julien
AU - Szabo de Edelenyi, Fabien
AU - Druesne-Pecollo, Nathalie
AU - Esseddik, Younes
AU - Hercberg, Serge
AU - Deschasaux, Mélanie
AU - Benhammou, Valérie
AU - Ritmi, Anass
AU - Marchand, Laetitia
AU - Zaros, Cecile
AU - Lordmi, Elodie
AU - Candea, Adriana
AU - de Visme, Sophie
AU - Simeon, Thierry
AU - Thierry, Xavier
AU - Geay, Bertrand
AU - Dufourg, Marie Noelle
AU - Milcent, Karen
AU - Rahib, Delphine
AU - Lydie, Nathalie
AU - Lusivika-Nzinga, Clovis
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - 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.
AB - 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.
KW - Bayesian statistics
KW - COVID-19
KW - Causal graph
KW - Hierarchical modeling
KW - Hospital overload
KW - Spatial modeling
UR - http://www.scopus.com/inward/record.url?scp=105004277535&partnerID=8YFLogxK
U2 - 10.1038/s41598-025-99078-6
DO - 10.1038/s41598-025-99078-6
M3 - Article
AN - SCOPUS:105004277535
SN - 2045-2322
VL - 15
JO - Scientific Reports
JF - Scientific Reports
IS - 1
M1 - 15638
ER -