Evidence map›Paper›PMID 31864293›Full record

ArticleBMC infectious diseases2019

Epidemiological study of scarlet fever in Shenyang, China.

Huijie Chen, Ye Chen, Baijun Sun, Lihai Wen, Xiangdong An

Abstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
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  4. 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
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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

5 authors.

Huijie ChenDepartment of Infectious Disease, Shenyang Health Service and Administrative Law Enforcement Center (Shenyang Center for Disease Control and Prevention), Shenyang, 110031, China. chj1317@126.com.ORCID http://orcid.org/0000-0002-0151-8157
Ye Chen
Baijun SunDepartment of Infectious Disease, Shenyang Health Service and Administrative Law Enforcement Center (Shenyang Center for Disease Control and Prevention), Shenyang, 110031, China.
Lihai WenDepartment of Infectious Disease, Shenyang Health Service and Administrative Law Enforcement Center (Shenyang Center for Disease Control and Prevention), Shenyang, 110031, China.
Xiangdong AnDepartment of Infectious Disease, Shenyang Health Service and Administrative Law Enforcement Center (Shenyang Center for Disease Control and Prevention), Shenyang, 110031, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 2011, there has been an increase in the incidence of scarlet fever across China. The main objective of this study was to depict the spatiotemporal epidemiological characteristics of the incidence of scarlet fever in Shenyang, China, in 2018 so as to provide the scientific basis for effective strategies of scarlet control and prevention.

methodsExcel 2010 was used to demonstrate the temporal distribution at the month level and ArcGIS10.3 was used to demonstrate the spatial distribution at the district/county level. Moran's autocorrelation coefficient was used to examine the spatial autocorrelation and the Getis-Ord statistic was used to determine the hot-spot areas of scarlet fever.

resultsA total of 2314 scarlet fever cases were reported in Shenyang in 2018 with an annual incidence of 31.24 per 100,000. The incidence among males was higher than that among females(p<0.001). A vast majority of the cases (96.89%) were among children aged 3 to 11 years. The highest incidence was 625.34/100,000 in children aged 5-9 years. In 2018 there were two seasonal peaks of scarlet fever in June (summer-peak) and December (winter-peak). The incidence of scarlet fever in urban areas was significantly higher than that in rural areas(p<0.001). The incidence of scarlet fever was randomly distributed in Shenyang. There are hotspot areas located in seven districts.

conclusionsUrban areas are the hot spots of scarlet fever and joint prevention and control measures between districts should be applied. Children aged 3-11 are the main source of scarlet fever and therefore the introduction of prevention and control into kindergarten and primary schools may be key to the control of scarlet fever epidemics.

Indexed as

ChildChild, PreschoolChinaEpidemiologic StudiesFemaleHumansIncidenceMaleRisk FactorsScarlet FeverSeasonsSpatio-Temporal AnalysisScarlet feverShenyangSpatiotemporal epidemiological characteristics

Identifiers

PMID31864293
PMCPMC6925867

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LicenceCC BY
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Registered trials

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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.