ArticlePLoS computational biology2017
Geospatial characteristics of measles transmission in China during 2005-2014.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Epidemic risks of measles and rubella in China: a systematic review and meta-analysis.World journal of pediatrics : WJP · 2024Pooled it
- Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.BMC infectious diseases · 2022Pooled it
- Rural-to-urban migrant worker mobility shaped measles epidemics in China.PLoS computational biology · 2026Article
- Modeling the influences of climate conditions on measles transmission in China.Epidemiology and infection · 2025Article
- Article
- Hospital-acquired infections and unvaccinated children due to chronic diseases: an investigation of the 2017-2019 measles outbreak in the northern region of Vietnam.BMC infectious diseases · 2024Article
- Epidemic characteristics of measles and efforts to control measles infections in Zhejiang Province, China.Epidemiology and health · 2024Article
- The impact of local vaccine coverage and recent incidence on measles transmission in France between 2009 and 2018.BMC medicine · 2022Article
- Economic burden of measles and its influencing factors in Fujian, China.Human vaccines & immunotherapeutics · 2021Article
- Exploring the Utility of Google Mobility Data During the COVID-19 Pandemic in India: Digital Epidemiological Analysis.JMIR public health and surveillance · 2021Article
- Socioeconomic deprivation is inversely associated with measles incidence: a longitudinal small-area analysis, Germany, 2001 to 2017.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021Article
- Epidemiological Investigation and Virus Tracing of a Measles Outbreak in Zhoushan Islands, China, 2019.Frontiers in public health · 2020Article
- 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 · 2019Article
- Correction: Geospatial characteristics of measles transmission in China during 2005-2014.PLoS computational biology · 2019Article
- Spatiotemporal distribution and determinants of measles incidence during a large outbreak, Italy, September 2016 to July 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019Observational
- Characteristics of measles epidemics in China (1951-2004) and implications for elimination: A case study of three key locations.PLoS computational biology · 2019Article
- Economic burden and associated factors of measles patients in Zhejiang Province, China.Human vaccines & immunotherapeutics · 2019Article
- Seasonal transmission dynamics of measles in China.Theory in biosciences = Theorie in den Biowissenschaften · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
Measles is a highly contagious and severe disease. Despite mass vaccination, it remains a leading cause of death in children in developing regions, killing 114,900 globally in 2014. In 2006, China committed to eliminating measles by 2012; to this end, the country enhanced its mandatory vaccination programs and achieved vaccination rates reported above 95% by 2008. However, in spite of these efforts, during the last 3 years (2013-2015) China documented 27,695, 52,656, and 42,874 confirmed measles cases. How measles manages to spread in China-the world's largest population-in the mass vaccination era remains poorly understood. To address this conundrum and provide insights for future public health efforts, we analyze the geospatial pattern of measles transmission across China during 2005-2014. We map measles incidence and incidence rates for each of the 344 cities in mainland China, identify the key socioeconomic and demographic features associated with high disease burden, and identify transmission clusters based on the synchrony of outbreak cycles. Using hierarchical cluster analysis, we identify 21 epidemic clusters, of which 12 were cross-regional. The cross-regional clusters included more underdeveloped cities with large numbers of emigrants than would be expected by chance (p = 0.011; bootstrap sampling), indicating that cities in these clusters were likely linked by internal worker migration in response to uneven economic development. In contrast, cities in regional clusters were more likely to have high rates of minorities and high natural growth rates than would be expected by chance (p = 0.074; bootstrap sampling). Our findings suggest that multiple highly connected foci of measles transmission coexist in China and that migrant workers likely facilitate the transmission of measles across regions. This complex connection renders eradication of measles challenging in China despite its high overall vaccination coverage. Future immunization programs should therefore target these transmission foci simultaneously.
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