Evidence map›Paper›PMID 41088248›Full record

ArticleBiology direct2025

Measles and public health: an integrative approach.

Francesco Branda, Marta Giovanetti, Nicola Petrosillo, Mohamed Mustaf Ahmed, Maria Perra, Daria Sanna, Giancarlo Ceccarelli, Massimo Ciccozzi, Enrico Bucci, Fabio Scarpa

Abstract read
In one paragraph

Article in Biology direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed.

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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

10 authors.

Francesco BrandaUnit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 21, 00128, Rome, RM, Italy. f.branda@unicampus.it.
Marta GiovanettiGenomics, AI, Bioinformatics, Infectious Diseases, Epidemiology Group (GABIE), Rome, Italy.
Nicola PetrosilloInfection Prevention & Control/Infectious Disease Service, Fondazione Policlinico Universitario Campus Bio-Medico, 00127, Rome, Italy.
Mohamed Mustaf AhmedFaculty of Medicine and Health Sciences, SIMAD University, Mogadishu, Somalia.
Maria PerraDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, 43, 07100, Sassari, SS, Italy.
Daria SannaDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro, 43, 07100, Sassari, SS, Italy.
Giancarlo CeccarelliGenomics, AI, Bioinformatics, Infectious Diseases, Epidemiology Group (GABIE), Rome, Italy.
Massimo CiccozziUnit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 21, 00128, Rome, RM, Italy.
Enrico BucciDepartment of Biology, Sbarro Institute for Cancer Research and Molecular Medicine, Temple University, 1900 North 12th Street, Philadelphia, PA, 19122, USA.
Fabio ScarpaGenomics, AI, Bioinformatics, Infectious Diseases, Epidemiology Group (GABIE), Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasles, once considered under control in many high-income countries, has experienced a notable resurgence in recent years due to declining vaccination rates, increased vaccine hesitancy, and gaps in public health preparedness. This study provides an overview of the current measles outbreaks in two socio-culturally distinct realities, both facing a challenging epidemiological situation, i.e., the Region of the Americas and Italy, the European country most impacted after Romania. The aim is to understand transmission dynamics and identify factors contributing to outbreak severity.

resultsEpidemiological data show that Canada experienced an unprecedented increase in measles incidence, particularly in Ontario and Alberta, where spatial modelling revealed relative risks greater than 30 in high burden areas (i.e., the estimated likelihood of measles occurrence in these areas was more than 30 times higher than the national average, based on Bayesian spatial modeling). In Mexico, the epidemic was highly localised, with over 90% of cases and all but one death concentrated in the state of Chihuahua. In the United States, 89% of cases were linked to epidemic outbreaks, with Texas showing significant spatial clustering and daily growth rates of over 4% in high-risk counties. In Italy, the 2024 outbreak marked a significant increase in measles cases compared to previous years, primarily affecting unvaccinated individuals. Over 50% of those affected required hospitalization, and major urban regions such as Lazio and Lombardy experienced sustained transmission. An initial phase of exponential growth (66% monthly) was followed by a plateau, with no significant decline observed, underlining delays in containment and persistent immune deficiencies. From genetic point of view, the study revealed the predominance of genotype D8, known for sustained global circulation, suggesting a single transmission chain behind the recent outbreaks. Phylogenetic analysis showed no significant intra-genotypic diversification, suggesting that the outbreak likely originated from a single introduction event followed by rapid, localized transmission. This limited genetic variation is consistent with a short transmission window and the absence of strong evolutionary pressure.

conclusionThe outbreaks in the United States and Italy, despite differences in healthcare systems and sociopolitical contexts, reveal common underlying issues. In the U.S., the epidemic was characterized by clusters of unvaccinated individuals in certain communities, while Italy faced challenges due to gaps in routine immunization programs and delays in responding to the outbreak. Both outbreaks illustrate the devastating impact of under-vaccination, inadequate surveillance, and the spread of misinformation on public health. Our results contribute to a deeper understanding of the dynamics of measles recurrence, providing a solid basis for science-based prevention and control measures. Furthermore, the study emphasises the importance of continuous and integrated surveillance to detect emerging or divergent strains at an early stage. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Disease OutbreaksMeaslesPublic HealthCanadaHumansIncidenceItalyVaccinationGeneticsGenomic surveillanceMeaslesOutbreak dynamicsPhylogenomic analysisPublic health responseSpatial modeling

Identifiers

PMID41088248
PMCPMC12522929

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.