Evidence map›Paper›PMID 42363098›Full record

ArticleBMC infectious diseases2026

Epidemiological characteristics and spatiotemporal analysis of scarlet fever in Guangzhou, China: the surveillance of 20 years.

Hong-Rou Lin, Jiangrong Wang, Jiamin Shan, Qing He, Shuwen Dong, Qiang Deng, Meiqi Zhang, Siyu Chen, Lei Luo, Yilan Li and 1 more

Abstract read
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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Hong-Rou Lin *Guangzhou Liwan District Center for Disease Control and Prevention (Guangzhou Liwan District Health Supervision Institute), Guangzhou, 510176, China.
Jiangrong Wang *Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Jiamin ShanGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Qing HeGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Shuwen DongGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Qiang DengGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Meiqi ZhangGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Siyu ChenGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Lei LuoGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China.
Yilan LiGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China. 453045988@qq.com.
Yanhui LiuGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, 510440, China. gzcdc_liuyh@gz.gov.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigated the epidemiological and spatiotemporal characteristics of scarlet fever in Guangzhou, China, and provided a scientific basis for the formulation and optimization of prevention and control strategies.

methodsThe epidemiological profile of scarlet fever was systematically reviewed using descriptive analysis. We used the Moran's I, local indicators of spatial association, and the retrospective spatiotemporal scanning statistical analysis to study the spatiotemporal aggregation phenomenon of scarlet fever in Guangzhou.

resultsFrom 2005 to 2024, 9,601 scarlet fever cases were reported within Guangzhou, with an annual average morbidity of 3.16 per 100,000. Joinpoint regression analysis indicated a statistically significant overall upward trend in scarlet fever incidence (AAPC = 17.26%, p < 0.001), characterized by four phases: low-incidence phase, upsurge phase, COVID-19-affected phase and post COVID-19 rebound phase. Seasonal distribution exhibited a dual-modal pattern, and the crest of transmission occurred from April to June and November to the following January. Demographically, cases mainly occurred among males and kindergarten children aged 3-6 years. Notably, during the post COVID-19 rebound phase, the proportion of cases among students, particularly those aged 7-10 years, increased substantially, becoming a major affected group nearly comparable to kindergarten children. Spatially, higher incidence was observed within central urban districts and expanding peri-urban growth centers. Spatiotemporal scanning identified ten statistically significant clusters, characterized by an expansion toward expanding peri-urban growth centers, such as Licheng in Zengcheng, alongside a resurgence in traditional central urban areas like Meihuacun in Yuexiu, Baihedong in Liwan and their surrounding regions.

conclusionsThis study reveals a significant spatial-temporal clustering of scarlet fever in Guangzhou from 2005 to 2024, characterized by an overall upward trend and a notable recent resurgence. The high-risk regions were predominantly localized within the central urban regions and expanding peri-urban growth centers, such as Helong, Licheng, Meihuacun, and their surrounding regions. The outbreak mostly affects kindergarten children aged 3-6 years and students aged 7-10 years, with winter and spring as peaks. Control strategies should target high-risk seasons, populations and regions to reduce scarlet fever cases.

Indexed as

Scarlet FeverAdolescentChildChild, PreschoolChinaCOVID-19FemaleHumansIncidenceInfantMaleRetrospective StudiesSARS-CoV-2SeasonsSpatio-Temporal AnalysisYoung AdultEpidemiological featuresScarlet feverSpatial autocorrelationSpatial clustering

Identifiers

PMID42363098
PMCPMC13563735

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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.