Evidence map›Paper›PMID 28376084›Full record

ArticlePLoS medicine2017

Demographic transition and the dynamics of measles in six provinces in China: A modeling study.

Sheng Li, Chao Ma, Lixin Hao, Qiru Su, Zhijie An, Fubao Ma, Shuyun Xie, Aiqiang Xu, Yanyang Zhang, Zhengrong Ding and 7 more

Abstract read
In one paragraph

Article in PLoS medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Seroprevalence against measles, Austria, stratified by birth years 1922 to 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
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  13. Heterogeneity in social and epidemiological factors determines the risk of measles outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Review
  16. Article
  17. Phylogenetic and Epidemiological Analysis of Measles Viruses in Shenzhen, China from January 2015 to July 2019.Medical science monitor : international medical journal of experimental and clinical research · 2019
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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

17 authors.

Sheng LiSchool of Public Health, City University of New York, New York, New York, United States of America.
Chao MaNational Immunization Program, China Centers for Disease Control and Prevention, Beijing, China.
Lixin HaoNational Immunization Program, China Centers for Disease Control and Prevention, Beijing, China.
Qiru SuNational Immunization Program, China Centers for Disease Control and Prevention, Beijing, China.
Zhijie AnNational Immunization Program, China Centers for Disease Control and Prevention, Beijing, China.
Fubao MaJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Shuyun XieZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Aiqiang XuShandong Provincial Center for Disease Control and Prevention, Jinan, China.
Yanyang ZhangHenan Provincial Center for Disease Control and Prevention, Zhengzhou, China.
Zhengrong DingYunnan Provincial Center for Disease Control and Prevention, Kunming, China.
Hui LiGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Lisa CairnsGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-4742-2169
Huaqing WangNational Immunization Program, China Centers for Disease Control and Prevention, Beijing, China.
Huiming LuoNational Immunization Program, China Centers for Disease Control and Prevention, Beijing, China.
Ning WangNation Center for AIDS, China Centers for Disease Control and Prevention, Beijing, China.
Li LiNational Immunization Program, China Centers for Disease Control and Prevention, Beijing, China.
Matthew J FerrariCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, Pennsylvania, United States of America.

Funding

Forecasting tipping points in emerging and re-emerging infectious diseasesU01GM110744 · NIGMS · UNIVERSITY OF GEORGIA · PI DRAKE, JOHN M, EPUREANU, BOGDAN · 2014 to 2018
$3.2M
Linking models and policy: Using active adaptive management for optimal control of disease outbreaksR01GM105247 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI FERRARI, MATTHEW · 2012 to 2016
$1.3M
NIGMS NIH HHS R01 GM105247NIGMS NIH HHS U01 GM110744
6 · The paper itself

Abstract

backgroundIndustrialization and demographic transition generate nonstationary dynamics in human populations that can affect the transmission and persistence of infectious diseases. Decades of increasing vaccination and development have led to dramatic declines in the global burden of measles, but the virus remains persistent in much of the world. Here we show that a combination of demographic transition, as a result of declining birth rates, and reduced measles prevalence, due to improved vaccination, has shifted the age distribution of susceptibility to measles throughout China. METHODS AND

findingsWe fit a novel time-varying catalytic model to three decades of age-specific measles case reporting in six provinces in China to quantify the change in the age-specific force of infection for measles virus over time. We further quantified the impact of supplemental vaccination campaigns on the reduction of susceptible individuals. The force of infection of measles has declined dramatically (90%-97% reduction in transmission rate) in three industrialized eastern provinces during the last decade, driving a concomitant increase in both the relative proportion and absolute number of adult cases, while three central and western provinces exhibited dynamics consistent with endemic persistence (24%-73% reduction in transmission rate). The reduction in susceptible individuals due to supplemental vaccination campaigns is frequently below the nominal campaign coverage, likely because campaigns necessarily vaccinate those who may already be immune. The impact of these campaigns has significantly improved over time: campaigns prior to 2005 were estimated to have achieved less than 50% reductions in the proportion susceptible in the target age classes, but campaigns from 2005 onwards reduced the susceptible proportion by 32%-87%. A limitation of this study is that it relies on case surveillance, and thus inference may be biased by age-specific variation in measles reporting.

conclusionsThe age distribution of measles cases changes in response to both demographic and vaccination processes. Combining both processes in a novel catalytic model, we illustrate that age-specific incidence patterns reveal regional differences in the progress to measles elimination and the impact of vaccination controls in China. The shift in the age distribution of measles susceptibility in response to demographic and vaccination processes emphasizes the importance of progressive control strategies and measures to evaluate program success that anticipate and react to this transition in observed incidence.

Indexed as

Models, TheoreticalPopulation DynamicsAdultAge DistributionChildChinaHumansIncidenceMeaslesMeasles VaccineVaccinationMeasles Vaccine

Identifiers

PMID28376084
PMCPMC5380361

What OpenQuestion holds

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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.