Evidence map›Paper›PMID 39300943›Full record

ArticleEpidemiology and health2024

Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China.

Rui Yan, Mengya Yang, Hanqing He, Yan Feng, Yang Zhou, Xuewen Tang, Xuan Deng, Yao Zhu, Yuxia Du, Can Chen and 3 more

Abstract read
In one paragraph

Article in Epidemiology and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Rui YanZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Mengya YangQuzhou People's Hospital, Zhejiang, China.
Hanqing HeZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yan FengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yang ZhouZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xuewen TangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xuan DengZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yao ZhuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Yuxia DuDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Can ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Cao KexinDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shigui YangDepartment of Epidemiology and Biostatistics, School of Public Health, Department of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
RIDPHE Group

Funding

Mega-Project of National Science and Technology for the 13th Five-Year Plan of China 2018ZX10715-014-002National Natural Science Foundation of China 81672005National Natural Science Foundation of China 82173577National Natural Science Foundation of China U1611264National Natural Science Foundation of China U23A20496Zhejiang Provincial Medical and Health Science and Technology Project 2022KY721
6 · The paper itself

Abstract

objectivesSeveral countries have successfully eliminated measles, and China is making significant strides toward achieving this goal. This study focused on investigating the patterns of measles infections in Zhejiang Province, China, as well as control measures. The objective was to provide valuable insights that could contribute to the development of nationwide elimination strategies.

methodsWe analyzed measles surveillance data from 2005 to 2022 in Zhejiang Province. We utilized a joinpoint regression model to examine trends in measles. Additionally, we employed SaTScan version 9.5 to identify spatial-temporal clusters. Finally, we used an age-period-cohort model to assess the effects of age, period, and cohort.

resultsThe age-standardized incidence rate (ASIR) of measles infection in Zhejiang Province from 2005 to 2022 was 5.24 per 100,000, showing a consistent and significant downward trend with an annual percentage change of -24.93% (p<0.05). After 2020, the ASIR for measles infection fell to below 0.1 per 100,000. The majority of measles cases occurred in individuals either without an immunization history or with an unknown immunization status, representing 41.06% and 41.40% of the cases from 2010 to 2022, respectively. According to data from the National Measles Surveillance System, the annual rate of discarded measles cases from 2009 to 2014, and the annual rate of discarded measles and rubella cases from 2015 to 2022, were both above 2 per 100,000, indicating the high sensitivity of the measles surveillance system.

conclusionsThe significant reduction in measles incidence from 2005 to 2022 demonstrates substantial progress in Zhejiang Province towards the elimination of measles.

Indexed as

Disease EradicationMeaslesAdolescentAdultBayes TheoremChildChild, PreschoolChinaCohort StudiesFemaleHumansIncidenceInfantInfant, NewbornMaleMeasles VaccineMeasles VaccineChinaEpidemiological trendsMeaslesVaccines

Identifiers

PMID39300943
PMCPMC11826004

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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.