Literature DB >> 30977801

Evaluating vaccination policies to accelerate measles elimination in China: a meta-population modelling study.

Lixin Hao1, John W Glasser2, Qiru Su1, Chao Ma1, Zhilan Feng3, Zundong Yin1, James L Goodson2, Ning Wen1, Chunxiang Fan1, Hong Yang1, Lance E Rodewald1,2,4, Zijian Feng1, Huaqing Wang1.   

Abstract

BACKGROUND: Measles is among the most highly infectious human diseases. By virtue of increasingly effective childhood vaccination, together with targeted supplemental immunization activities (SIAs), health authorities in the People's Republic of China have reduced measles' reproduction number from about 18 to 2.3. Despite substantial residual susceptibility among young adults, more in some locales than others, sustained routine childhood immunization likely would eliminate measles eventually. To support global eradication efforts, as well as expedite morbidity and mortality reductions in China, we evaluated alternative SIAs via mechanistic mathematical modelling.
METHODS: Our model Chinese population is stratified by immune status (susceptible to measles infection; infected, but not yet infectious; infectious; and recovered or immunized), age (0, 1-4, 5-9, …, 65+ years) and location (31 provinces). Contacts between sub-populations are either empirical or a mixture of preferential and proportionate with respect to age and decline exponentially with distance between locations at age-dependent rates. We estimated initial conditions and most parameters from recent cross-sectional serological surveys, disease surveillance and demographic observations. Then we calculated the reproduction numbers and gradient of the effective number with respect to age- and location-specific immunization rates. We corroborated these analytical results by simulating adolescent and young adult SIAs using a version of our model in which the age-specific contact rates vary seasonally.
RESULTS: Whereas the gradient indicates that vaccinating young adults generally is the optimal strategy, simulations indicate that a catch-up campaign among susceptible adolescent schoolchildren would accelerate elimination, with timing dependent on uptake.
CONCLUSIONS: These results are largely due to indirect effects (i.e. fewer infections than immunized people might otherwise cause), which meta-population models with realistic mixing are uniquely capable of reproducing accurately.
© The Author(s) 2019; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Entities:  

Keywords:  Measles in China; accelerating elimination; meta-population modelling; vaccination strategies

Mesh:

Substances:

Year:  2019        PMID: 30977801      PMCID: PMC6788931          DOI: 10.1093/ije/dyz058

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  12 in total

1.  Progress toward measles elimination in the People's Republic of China, 2000-2009.

Authors:  Chao Ma; Zhijie An; Lixin Hao; K Lisa Cairns; Yan Zhang; Jing Ma; Lei Cao; Ning Wen; Wenbo Xu; Xiaofeng Liang; Weizhong Yang; Huiming Luo
Journal:  J Infect Dis       Date:  2011-07       Impact factor: 5.226

Review 2.  Measles.

Authors:  Paul A Rota; William J Moss; Makoto Takeda; Rik L de Swart; Kimberly M Thompson; James L Goodson
Journal:  Nat Rev Dis Primers       Date:  2016-07-14       Impact factor: 52.329

3.  An elaboration of theory about preventing outbreaks in homogeneous populations to include heterogeneity or preferential mixing.

Authors:  Zhilan Feng; Andrew N Hill; Philip J Smith; John W Glasser
Journal:  J Theor Biol       Date:  2015-09-14       Impact factor: 2.691

4.  The effect of heterogeneity in uptake of the measles, mumps, and rubella vaccine on the potential for outbreaks of measles: a modelling study.

Authors:  John W Glasser; Zhilan Feng; Saad B Omer; Philip J Smith; Lance E Rodewald
Journal:  Lancet Infect Dis       Date:  2016-02-05       Impact factor: 25.071

5.  Consequences of confirmed maternal rubella at successive stages of pregnancy.

Authors:  E Miller; J E Cradock-Watson; T M Pollock
Journal:  Lancet       Date:  1982-10-09       Impact factor: 79.321

6.  Progress in accelerated measles control in the People's Republic of China, 1991-2000.

Authors:  Wang Lixia; Zeng Guang; Lisa A Lee; Yang Zhiwei; Yu Jingjin; Zhou Jun; Liang Xiaofeng; Xu Chang; Bai Huqun
Journal:  J Infect Dis       Date:  2003-05-15       Impact factor: 5.226

7.  Evaluating targeted interventions via meta-population models with multi-level mixing.

Authors:  Zhilan Feng; Andrew N Hill; Aaron T Curns; John W Glasser
Journal:  Math Biosci       Date:  2016-09-23       Impact factor: 2.144

8.  Monitoring progress towards the elimination of measles in China: an analysis of measles surveillance data.

Authors:  Chao Ma; Lixin Hao; Yan Zhang; Qiru Su; Lance Rodewald; Zhijie An; Wenzhou Yu; Jing Ma; Ning Wen; Huiling Wang; Xiaofeng Liang; Huaqing Wang; Weizhong Yang; Li Li; Huiming Luo
Journal:  Bull World Health Organ       Date:  2014-02-05       Impact factor: 9.408

9.  Prevention of Chronic Hepatitis B after 3 Decades of Escalating Vaccination Policy, China.

Authors:  Fuqiang Cui; Lipin Shen; Li Li; Huaqing Wang; Fuzhen Wang; Shengli Bi; Jianhua Liu; Guomin Zhang; Feng Wang; Hui Zheng; Xiaojin Sun; Ning Miao; Zundong Yin; Zijian Feng; Xiaofeng Liang; Yu Wang
Journal:  Emerg Infect Dis       Date:  2017-05       Impact factor: 6.883

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

Authors:  Sheng Li; Chao Ma; Lixin Hao; Qiru Su; Zhijie An; Fubao Ma; Shuyun Xie; Aiqiang Xu; Yanyang Zhang; Zhengrong Ding; Hui Li; Lisa Cairns; Huaqing Wang; Huiming Luo; Ning Wang; Li Li; Matthew J Ferrari
Journal:  PLoS Med       Date:  2017-04-04       Impact factor: 11.069

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  6 in total

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

Authors:  Qiru Su; Zhilan Feng; Lixin Hao; Chao Ma; José E Hagan; Gavin B Grant; Ning Wen; Chunxiang Fan; Hong Yang; Lance E Rodewald; Huaqing Wang; John W Glasser
Journal:  Lancet Infect Dis       Date:  2021-01-27       Impact factor: 71.421

2.  Influence of demographically-realistic mortality schedules on vaccination strategies in age-structured models.

Authors:  Zhilan Feng; Yejuan Feng; John W Glasser
Journal:  Theor Popul Biol       Date:  2020-02-03       Impact factor: 1.514

3.  ESTIMATING AGE-SPECIFIC HAZARD RATES OF INFECTION FROM CROSS-SECTIONAL OBSERVATIONS.

Authors:  Zhilan Feng; John W Glasser
Journal:  Rev Mat       Date:  2019-12-17

4.  Analysis of Serological Surveys of Antibodies to SARS-CoV-2 in the United States to Estimate Parameters Needed for Transmission Modeling and to Evaluate and Improve the Accuracy of Predictions.

Authors:  John W Glasser; Zhilan Feng; MyVan Vo; Jefferson N Jones; Kristie E N Clarke
Journal:  J Theor Biol       Date:  2022-10-05       Impact factor: 2.405

Review 5.  Using models to shape measles control and elimination strategies in low- and middle-income countries: A review of recent applications.

Authors:  F T Cutts; E Dansereau; M J Ferrari; M Hanson; K A McCarthy; C J E Metcalf; S Takahashi; A J Tatem; N Thakkar; S Truelove; E Utazi; A Wesolowski; A K Winter
Journal:  Vaccine       Date:  2019-11-29       Impact factor: 3.641

6.  Global research activity on mathematical modeling of transmission and control of 23 selected infectious disease outbreak.

Authors:  Waleed M Sweileh
Journal:  Global Health       Date:  2022-01-21       Impact factor: 4.185

  6 in total

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