Logo do repositório
 
Publicação

Spatial analysis of HPV infection and contextual factors associated with higher HPV prevalence

dc.contributor.authorSousa, R.
dc.contributor.authorFonseca-Moutinho, J.A.
dc.contributor.authorGomes, F.
dc.contributor.authorLoureiro, F.
dc.contributor.authorGoes, A.R.
dc.contributor.authorSoares, Patricia
dc.date.accessioned2026-01-16T13:45:00Z
dc.date.available2026-01-16T13:45:00Z
dc.date.issued2025-03-13
dc.description.abstractObjectives: To identify areas with high rates of high-risk Papillomavirus (hrHPV) infection and associated contextual factors in the Centre Region of Portugal at the municipality level. Study design: We conducted an ecological study in 78 municipalities located in the Central Region of Portugal from March 2019 to December 2022. Methods: We used data from the cervical cancer screening (CCS) program database after switching to primary HPV testing. Demographic, socio-economic, and healthcare availability variables were extracted from official sources (Statistics Portugal and Central Region Health Administration Information Systems). Spatial analysis and logistic generalised linear models were used to identify areas of high hrHPV infection and associated contextual factors. Results: The overall hrHPV infection prevalence was 9.9 %. We found three significant clusters, predominantly in municipalities near major urban centres. These clusters were characterised by higher population density, a greater proportion of younger women, higher median income per inhabitant, a larger proportion of residents with graduate degrees, and increased availability of healthcare units. Conclusions: This study has uncovered the geographical distribution of hrHPV infection at the municipal level and highlights the contextual factors associated with higher prevalence. Identifying demographics and socio-economic predictors of high hrHPV infection could support public health programs by targeting interventions to specific populations and contexts. This might open up new scenarios for improving prevention and control strategies, offering more intensive screening in areas with the most urgent needs.eng
dc.description.abstractHighlights: - Study focused on HPV infection rates in 78 municipalities in Central Portugal. - Found 3 clusters near urban centers with higher infection rates, linked to demographics and healthcare availability. - Results can aid public health programs in targeting prevention efforts effectively.por
dc.identifier.citationAnn Epidemiol. 2025 May:105:8-14. doi: 10.1016/j.annepidem.2025.03.002. Epub 2025 Mar 13
dc.identifier.doi10.1016/j.annepidem.2025.03.002
dc.identifier.issn1047-2797
dc.identifier.pmid40089125
dc.identifier.urihttp://hdl.handle.net/10400.18/10702
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1047279725000511
dc.relation.ispartofAnnals of Epidemiology
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectGeographic Mapping
dc.subjectHuman Papillomavirus
dc.subjectSpatial Analysis
dc.subjectPublic Health
dc.subjectInfecções Sexualmente Transmissíveis
dc.subjectEstados de Saúde e de Doença
dc.titleSpatial analysis of HPV infection and contextual factors associated with higher HPV prevalenceeng
dc.typejournal article
dcterms.referenceshttps://ars.els-cdn.com/content/image/1-s2.0-S1047279725000511-mmc1.docx
dspace.entity.typePublication
oaire.citation.endPage14
oaire.citation.startPage8
oaire.citation.titleAnnals of Epidemiology
oaire.citation.volume105
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSoares
person.givenNamePatricia
person.identifier1050496
person.identifier.ciencia-id0415-632D-8609
person.identifier.orcid0000-0001-5033-9115
person.identifier.scopus-author-id52063758300
relation.isAuthorOfPublicationdf1b8bab-1e35-4561-92d0-8aeb17371a29
relation.isAuthorOfPublication.latestForDiscoverydf1b8bab-1e35-4561-92d0-8aeb17371a29

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
1-s2.0-S1047279725000511-main.pdf
Tamanho:
1.27 MB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
4.03 KB
Formato:
Item-specific license agreed upon to submission
Descrição: