Evidence map›Paper›PMID 29858148›Full record

Observational studyThe Lancet. Infectious diseases2018

Resurgence of scarlet fever in China: a 13-year population-based surveillance study.

Yonghong Liu, Ta-Chien Chan, Li-Wei Yap, Yinping Luo, Weijia Xu, Shuwen Qin, Na Zhao, Zhao Yu, Xingyi Geng, She-Lan Liu

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
11.3field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Ongoing epidemic of scarlet fever in Shanghai and the emergence of M1The Lancet regional health. Western Pacific · 2025
    Article
  9. Article
  10. Observational
  11. Article
  12. Epidemiological Characteristics and Trends of Scarlet Fever in Zhejiang Province of China: Population-Based Surveillance during 2004-2022.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 2 countries.

Yonghong LiuSchool of Engineering, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou, Guangdong Province, China.
Ta-Chien ChanResearch Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.
Li-Wei YapResearch Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan.
Yinping LuoSchool of Engineering, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou, Guangdong Province, China.
Weijia XuSchool of Engineering, Sun Yat-sen University, Guangzhou, Guangdong Province, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou, Guangdong Province, China.
Shuwen QinDepartment of Infectious Diseases, Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
Na ZhaoCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Zhao YuDepartment of Infectious Diseases, Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
Xingyi GengEmergency Offices, Jinan Centre for Disease Control and Prevention, Jinan, Shandong Province, China.
She-Lan LiuDepartment of Infectious Diseases, Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China. Electronic address: liushelan@126.com.
Sun Yat-sen University · CNZhejiang Center for Disease Control and Prevention · CNResearch Center for Humanities and Social Sciences, Academia Sinica · TWInstitute of Microbiology · CNShandong Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA re-emergence of scarlet fever has been noted in Hong Kong, South Korea, and England, UK, since 2008. China also had a sudden increase in the incidence of the disease in 2011. In this study, we aimed to assess the epidemiological changes before and after the upsurge. We also aimed to explore the reasons for the upsurge in disease in 2011, the epidemiological factors that contributed to it, and assess how these could be managed to prevent future epidemics.

methodsIn this observational study, we extracted the epidemiological data for all cases of scarlet fever between 2004 and 2016 in China from the Chinese Public Health Science Data Center, the official website of National Health Commission of the People's Republic of China, and the National Notifiable Infectious Disease Surveillance System. These data had been collected from 31 provinces and regions in China and included geographical, seasonal, and patient demographic information. We used descriptive statistical methods and joinpoint regression to examine the spatiotemporal patterns and annual percentage change in incidence of the upsurge of disease across China.

findingsBetween Jan 1, 2004, and Dec 31, 2016, 502 723 cases of scarlet fever, with ten fatalities, were reported in China, resulting in an annualised average incidence of 2·8807 per 100 000 people. The annual average incidence increased from 1·457 per 100 000 people in 2004 to 4·7638 per 100 000 people in 2011 (incidence rate ratio [IRR] 3·27, 95% CI 3·22-3·32; p<0·0001), peaking in 2015 (5·0092 per 100 000 people). The annual incidence after the 2011 upsurge of scarlet fever, between 2011 and 2016, was twice the average annual incidence reported between 2004 and 2010 (4·0125 vs 1·9105 per 100 000 people; IRR 2·07, 95% CI 2·06-2·09; p<0·0001). Most cases were distributed in the north, northeast, and northwest of the country. Semi-annual patterns were observed in May-June and November-December. The median age at onset of disease was 6 years, with the annual highest incidence observed in children aged 6 years (49·4675 per 100 000 people). The incidence among boys and men was 1·54 greater than that among girls and women before the upsurge, and 1·51 times greater after the upsurge (p<0·0001 for both). The median time from disease onset to reporting of the disease was shorter after the upsurge in disease than before (3 days vs 4 days; p=0·001).

interpretationTo our knowledge, this is the largest epidemiological study of scarlet fever worldwide. The patterns of infection across the country were similar before and after the 2011 upsurge, but the incidence of disease was substantially higher after 2011. Prevention and control strategies being implemented in response to this threat include improving disease surveillance and emergency response systems. In particular, the school absenteeism and symptom monitoring and early-warning system will contribute to the early diagnosis and report of the scarlet fever. This approach will help combat scarlet fever and other childhood infectious diseases in China.

fundingNational Key R&D Plan of China Science and key epidemiological disciplines of Zhejiang Provincial Health of China.

Indexed as

Disease OutbreaksPopulation SurveillanceChildChinaFemaleGlobal HealthHumansMalePublic HealthScarlet Fever

Identifiers

PMID29858148
PMCPMC7185785
OpenAlexW2806127019

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.