Evidence map›Paper›PMID 33515508›Full record

ArticleThe Lancet. Infectious diseases2021

Assessing the burden of congenital rubella syndrome in China and evaluating mitigation strategies: a metapopulation modelling study.

Qiru Su, Zhilan Feng, Lixin Hao, Chao Ma, José E Hagan, Gavin B Grant, Ning Wen, Chunxiang Fan, Hong Yang, Lance E Rodewald and 2 more

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Qiru SuNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China; Shenzhen Institute of Pediatrics, Shenzhen Children's Hospital, Guangdong, China.
Zhilan FengDepartment of Mathematics, College of Science, Purdue University, West Lafayette, IN, USA; Division of Mathematical Sciences, National Science Foundation, Alexandria, VA, USA.
Lixin HaoNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China.
Chao MaNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China.
José E HaganCenter for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA; Expanded Programme on Immunization, World Health Organization Regional Office for the Western Pacific, Manila, Philippines.
Gavin B GrantCenter for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ning WenNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China.
Chunxiang FanNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China.
Hong YangNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China.
Lance E RodewaldNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA; Office of the World Health Organization Representative in China, Beijing, China.
Huaqing WangNational Immunization Program, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: hqwang@vip.sina.com.
John W GlasserNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Chinese Center For Disease Control and Prevention · CNCenter for Global Health · USCenters for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999World Health Organization 001
6 · The paper itself

Abstract

backgroundA rubella vaccine was licensed in China in 1993 and added to the Expanded Programme on Immunization in 2008, but a national cross-sectional serological survey during 2014 indicates that many adolescents remain susceptible. Maternal infections during the first trimester often cause miscarriages, stillbirths, and, among livebirths, congenital rubella syndrome. We aimed to evaluate possible supplemental immunisation activities (SIAs) to accelerate elimination of rubella and congenital rubella syndrome.

methodsWe analysed residual samples from the national serological survey done in 2014, data from monthly rubella surveillance reports from 2005 and 2016, and additional publications through a systematic review. Using an age-structured population model with provincial strata, we calculated the reproduction numbers and evaluated the gradient of the metapopulation effective reproduction number with respect to potential supplemental immunisation rates. We corroborated these analytical results and estimated times-to-elimination by simulating SIAs among adolescents (ages 10-19 years) and young adults (ages 20-29 years) using a model with regional strata. We estimated the incidence of rubella and burden of congenital rubella syndrome by simulating transmission in a relatively small population lacking only spatial structure.

findingsBy 2014, childhood immunisation had reduced rubella's reproduction number from 7·6 to 1·2 and SIAs among adolescents were the optimal elimination strategy. We found that less than 10% of rubella infections were reported; that although some women with symptomatic first-trimester infections might have elected to terminate their pregnancies, 700 children could have been born with congenital rubella syndrome during 2014; and that timely SIAs would avert outbreaks that, as susceptible adolescents reached reproductive age, could greatly increase the burden of this syndrome.

interpretationOur findings suggest that SIAs among adolescents would most effectively reduce congenital rubella syndrome as well as eliminate rubella, owing both to fewer infections in the immunised population and absence of infections that those immunised would otherwise have caused. Metapopulation models with realistic mixing are uniquely capable of assessing such indirect effects.

fundingWHO and National Science Foundation.

Indexed as

Immunization ProgramsPopulation SurveillanceRubella Syndrome, CongenitalAbortion, SpontaneousAdolescentAdultAgedChildChild, PreschoolChinaDisease OutbreaksFemaleHumansIncidenceInfantInfant, NewbornRubella Vaccine

Identifiers

PMID33515508
PMCPMC9102636
OpenAlexW3121301096

What OpenQuestion holds

Textmetadata
LicenceTDM
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.