Epidemiological characteristics and spatiotemporal analysis of scarlet fever in Guangzhou, China: the surveillance of 20 years
BMC Infectious Diseases·
- DOI
- 10.1186/s12879-026-13770-0
- PMID
- —
- PMCID
- —
- OpenAlex
- —
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The study identifies high-risk seasons, age groups, and geographic regions to guide targeted scarlet fever control strategies in Guangzhou. The notable post-pandemic resurgence and shift toward older school-aged children suggest evolving transmission dynamics requiring updated intervention approaches.
Structured evidence summary
Research question
The study examined epidemiological and spatiotemporal characteristics of scarlet fever across two decades in Guangzhou, China, to inform prevention and control strategies.
Study design
Retrospective surveillance analysis covering 2005–2024 using descriptive epidemiology, Joinpoint regression, Moran's I, local indicators of spatial association, and retrospective spatiotemporal scanning statistics.
Population and setting
The analysis included 9,601 reported scarlet fever cases in Guangzhou, China, over 20 years. Cases predominantly occurred among males, kindergarten children aged 3–6 years, and during the post-COVID-19 rebound phase, students aged 7–10 years.
Main findings
Scarlet fever incidence rose significantly over the study period (AAPC = 17.26%, p < 0.001), with four distinct phases including a post-COVID-19 rebound. Seasonal peaks occurred April–June and November–January. Higher incidence was concentrated in central urban districts and expanding peri-urban growth centers, with ten statistically significant spatiotemporal clusters identified. During the post-COVID-19 phase, the proportion of cases among students aged 7–10 years increased substantially.
Public-health relevance
The study identifies high-risk seasons, age groups, and geographic regions to guide targeted scarlet fever control strategies in Guangzhou. The notable post-pandemic resurgence and shift toward older school-aged children suggest evolving transmission dynamics requiring updated intervention approaches.
Important limitations
This summary relies on the supplied single-article abstract and bibliographic metadata. Full interpretation of study limitations, surveillance sensitivity, case ascertainment methods, and analytic assumptions requires review of the complete published article.
GIDS interpretation
The article was classified under scarlet fever, COVID-19, outbreak investigation, surveillance, and transmission dynamics for China. These links support discoverability within the evidence base but do not indicate an active public health signal or causality.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 7 auditable classifier relationships to diseases, places, topics, and study design.