Evidence map›Paper›PMID 41339692›Full record

ArticleScientific reports2025

Haemophilus influenzae and Staphylococcus aureus population shifts during social distancing as monitored by MALDI-TOF MS.

Slim Hmidi, Nadim Cassir, Philippe Colson, Raymond Ruimy, Hervé Chaudet

Abstract 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. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Slim HmidiIHU Méditerranée Infection, Marseille, France.
Nadim CassirIHU Méditerranée Infection, Marseille, France.
Philippe ColsonIHU Méditerranée Infection, Marseille, France.
Raymond RuimyUniversité Côte d'Azur, Inserm, U1065, C3M, Nice, France.
Hervé ChaudetIHU Méditerranée Infection, Marseille, France. herve.chaudet@univ-amu.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic prompted widespread public health interventions, including lockdowns and social distancing measures, which influenced microbial transmission dynamics. This study evaluates the evolution of the hospital incidence and spectral diversity of Haemophilus influenzae and Staphylococcus aureus associated with these measures using MALDI-TOF mass spectrometry-based epidemiological surveillance. MALDI-TOF MS spectra analyses of routine clinical bacterial identifications were used as proxies for strain typing. Spectra from lockdown and reference periods were compared using unsupervised classification methods. A total of 251 main spectrum profiles of H. influenzae, 2079 main spectrum profiles of S. aureus for respiratory tract and blood samples, and 414 main spectrum profiles for skin samples of S. aureus were examined. The data were analyzed using hierarchical clustering and binary discriminant analysis. Spectral diversity of H. influenzae showed a transient shift, reverting to pre-lockdown patterns by 2021, whereas S. aureus exhibited a spectral shift that persisted post-lockdown. Clustering analyses revealed statistically significant grouping of lockdown strains, suggesting selection pressures due to containment measures. Social distancing measures were associated with modifications in bacterial population structures, with distinct post-lockdown recovery patterns. MALDI-TOF MS fingerprints proved to be a valuable tool for real-time epidemiological surveillance. This full-size experiment of social distancing highlights the complex interactions involving human behavior, bacterial ecology, and population dynamics and suggests different effects for different bacterial species.

Indexed as

COVID-19Haemophilus InfectionsHaemophilus influenzaeStaphylococcal InfectionsStaphylococcus aureusHumansPhysical DistancingSARS-CoV-2Spectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBacterial strain diversityEpidemiological surveillanceHaemophilus influenzaeMALDI-TOF MSSocial distancingStaphylococcus aureus

Identifiers

PMID41339692
PMCPMC12783655

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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.