Epidemiological Characteristics of Scarlet Fever in Liaoning Province, China: A Pre- and Post-Pandemic Comparison, 2005-2024
Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
OBJECTIVES: This study aimed to investigate scarlet fever epidemiology in Liaoning Province, China (2005-2024), and assess COVID-19 pandemic impacts. METHODS: Individual-level data on scarlet fever cases from the National Notifiable Infectious Disease Reporting System (NNIDRS) were analyzed for temporal, demographic and spatiotemporal features across pre-, peri- and post-pandemic stages. RESULTS: A total of 73,102 scarlet fever cases were reported. Incidence remained stable during the pre-pandemic period, from 2005 (8.9 per 100,000 population per year) to 2019 (10.8), sharply declined during the pandemic period (2020-2022; range: 1.4-0.6), and rebounded markedly post-pandemic (2023: 1.9; 2024: 7.7). Most cases (79.4%) occurred in children under 15 years of age from urban areas. During 2005-2019, incidence significantly increased among children aged 3-6 years (AAPC: 7.4%; 95% CI: 3.0%-11.9%) and in rural populations (AAPC: 4.3%; 95% CI: 1.1%-7.6%). Compared with the pre-pandemic period (2005-2019), the proportion of cases among children aged 7-14 years significantly increased during the post-pandemic period (2023-2024) (31.4% vs. 54.1%, p < 0.01). CONCLUSION: Scarlet fever incidence in Liaoning Province showed a resurgence after the pandemic, with an age distribution shifting toward older children. These evolving epidemiological patterns highlight the need for enhanced, age-targeted surveillance and adaptive prevention strategies.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Epidemiological Characteristics of Scarlet Fever in Liaoning Province, China: A Pre- and Post-Pandemic Comparison, 2005-2024
- Date Crossref
- 01/09/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.