Evidence map›Paper›PMID 40936090›Full record

ArticleInfectious diseases of poverty2025

Epidemiological characteristics and transmission dynamics of the early stage Chikungunya fever outbreak in Foshan City, Guangdong Province, China in 2025.

Meng Zhang, Yihong Li, Xiqing Huang, Man Liu, Siyang Jiang, Biao Zeng, Luxiang Ouyang, Jianhua Huang, Bing Mai, Qihua Guan and 21 more

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  4. [Re-transmission risk prediction of imported Chikungunya fever in Guangdong Province using the SEIR-SEI model].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
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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

31 authors.

Meng Zhang *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Yihong Li *Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Xiqing Huang *Foshan Center for Disease Control and Prevention, Foshan, Guangdong Province, China.
Man LiuChinese Field Epidemiology Training Program, Beijing, China.
Siyang JiangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Biao ZengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Luxiang OuyangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Jianhua HuangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Bing MaiFoshan Center for Disease Control and Prevention, Foshan, Guangdong Province, China.
Qihua GuanFoshan Center for Disease Control and Prevention, Foshan, Guangdong Province, China.
Jiazhi ZengFoshan Center for Disease Control and Prevention, Foshan, Guangdong Province, China.
Muying FuFoshan Center for Disease Control and Prevention, Foshan, Guangdong Province, China.
Bingu ZhuoGuangdong Provincial Field Epidemiology Training Program, Guangzhou, Guangdong Province, China.
Yawen LiuGuangdong Provincial Field Epidemiology Training Program, Guangzhou, Guangdong Province, China.
Qin ZengGuangdong Provincial Field Epidemiology Training Program, Guangzhou, Guangdong Province, China.
Naling ZhuGuangdong Provincial Field Epidemiology Training Program, Guangzhou, Guangdong Province, China.
Tao WangGuangdong Provincial Field Epidemiology Training Program, Guangzhou, Guangdong Province, China.
Xiaojun HuangGuangdong Provincial Field Epidemiology Training Program, Guangzhou, Guangdong Province, China.
Yimin PanGuangdong Provincial Field Epidemiology Training Program, Guangzhou, Guangdong Province, China.
Mingji ChengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Penghui JiaGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Xiaofang PengGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Jinhua DuanGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Baisheng LiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Jianfeng HeGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Yanping ZhangChinese Center for Disease Control and Prevention, Beijing, China.
Lei ZhouChinese Center for Disease Control and Prevention, Beijing, China.
Min KangGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangzhou, Guangdong Province, China. jpengx@163.com.
Zefeng YangFoshan Center for Disease Control and Prevention, Foshan, Guangdong Province, China. jk-yangzf@wjj.foshan.gov.cn.
Yan LiGuangdong Provincial Center for Disease Control and Prevention, Guangzhou, Guangdong Province, China. sjkzx_liyan@gd.gov.cn.ORCID http://orcid.org/0009-0000-6874-9606

Funding

Guangdong Natural Science and Technology Project 2023A1515011921Key Area Research and Development Program of Guangdong Province 2022B1111020006National Natural Science Foundation of China 82373636
6 · The paper itself

Abstract

backgroundAs of July 22, 2025, the chikungunya virus transmission has been documented across 119 countries and territories of the world. In 2025, an outbreak of chikungunya fever (CF) occurred in Foshan, Guangdong Province, China. We aimed to analyze the epidemiological characteristics and transmission dynamics during the early stage of this outbreak.

methodsWe collected the data of CF cases in Foshan from July 8 to July 26, 2025. Case data were extracted from the National Notifiable Infectious Disease Reporting System. Demographics and tempo-spatial distributions of cases, incidence rates and the onset-to-report interval times were analyzed. Global spatial autocorrelation (Moran's I) to assess township-level clustering; Kruskal-Wallis tests with Dunn's post-hoc comparisons (Bonferroni-corrected) to analyze onset-to-report intervals across four epidemic phases. The basic reproduction number (R

resultsA total of 4,754 local cases were reported during the study period. Persons aged 65 years or above had the highest incidence (116.57 per 100,000 population). Most cases were business/service workers, homemakers, and retirees. The median onset-to-report interval decreased from 4 days to 1 day after outbreak control measures were implemented. The outbreak, initially detected in Shunde District, spread rapidly to other districts of Foshan, forming a significant spatial cluster (Moran's I = 0.152, P = 0.029). The estimated R

conclusionsThis outbreak was characterized by high transmissibility, with older persons being a primary high-risk group. The rapid reduction in case reporting delay highlights the effectiveness of response interventions. Sustained, integrated and prompt response has been essential to control the outbreak.

Indexed as

Chikungunya FeverDisease OutbreaksAdolescentAdultAgedAged, 80 and overChikungunya virusChildChild, PreschoolChinaFemaleHumansIncidenceInfantInfant, NewbornMaleChikungunya feverChinaEpidemiologyOutbreakTransmission dynamics

Identifiers

PMID40936090
PMCPMC12424219

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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.