PLoS Computational Biology
Volume 13, Issue 4, 2017

Geospatial characteristics of measles transmission in China during 2005−2014 (Article) (Open Access)

Yang W.* , Wen L. , Li S.-L. , Chen K. , Zhang W.-Y. , Shaman J.
  • a Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
  • b Institute of Disease Control and Prevention, Academy of Military Medical Sciences, Beijing, China
  • c Institute of Disease Control and Prevention, Academy of Military Medical Sciences, Beijing, China
  • d State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
  • e Institute of Disease Control and Prevention, Academy of Military Medical Sciences, Beijing, China
  • f Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States

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. © 2017 Yang et al.

Author Keywords

[No Keywords available]

Index Keywords

China transmission demography health survey growth rate Population Surveillance human middle aged controlled study Aged bootstrapping algorithm disease surveillance cluster analysis school child Humans Young Adult health program Adolescent economic development male preschool child female Infant newborn socioeconomics gross national product Incidence Disease Outbreaks Article disease transmission epidemic measles vaccine major clinical study intervention study adult preventive medicine social class vaccination global disease burden immunization measles mortality spatial analysis Child

Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018304673&doi=10.1371%2fjournal.pcbi.1005474&partnerID=40&md5=85c44cf2745ce2b54e357a9ceeab3fa8

DOI: 10.1371/journal.pcbi.1005474
ISSN: 1553734X
Cited by: 7
Original Language: English