Geospatial characteristics of measles transmission in China during 2005-2014

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 p...

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Veröffentlicht in:PLoS computational biology 2017-04, Vol.13 (4), p.e1005474-e1005474
Hauptverfasser: Yang, Wan, Wen, Liang, Li, Shen-Long, Chen, Kai, Zhang, Wen-Yi, Shaman, Jeffrey
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Chen, Kai
Zhang, Wen-Yi
Shaman, Jeffrey
description 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.
doi_str_mv 10.1371/journal.pcbi.1005474
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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.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1005474</identifier><identifier>PMID: 28376097</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Children ; Children &amp; youth ; China - epidemiology ; Cluster Analysis ; Demographics ; Disease control ; Disease Outbreaks ; Disease prevention ; Disease transmission ; Economic development ; Environmental health ; Epidemics ; Eradication ; Geospatial data ; Health sciences ; Humans ; Immunization ; Incidence ; Infectious diseases ; Measles ; Measles - epidemiology ; Measles - transmission ; Medicine and Health Sciences ; Migrant workers ; Migration ; Minority &amp; ethnic groups ; Outbreaks ; People and Places ; Population ; Population Surveillance ; Prevalence studies (Epidemiology) ; Public health ; Regional development ; Sampling ; Social Class ; Social Sciences ; Statistics ; Vaccination ; Vaccines ; Workers</subject><ispartof>PLoS computational biology, 2017-04, Vol.13 (4), p.e1005474-e1005474</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Yang W, Wen L, Li S-L, Chen K, Zhang W-Y, Shaman J (2017) Geospatial characteristics of measles transmission in China during 2005?2014. PLoS Comput Biol 13(4): e1005474. https://doi.org/10.1371/journal.pcbi.1005474</rights><rights>2017 Yang et al 2017 Yang et al</rights><rights>2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Yang W, Wen L, Li S-L, Chen K, Zhang W-Y, Shaman J (2017) Geospatial characteristics of measles transmission in China during 2005?2014. 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Future immunization programs should therefore target these transmission foci simultaneously.</description><subject>Biology and Life Sciences</subject><subject>Children</subject><subject>Children &amp; youth</subject><subject>China - epidemiology</subject><subject>Cluster Analysis</subject><subject>Demographics</subject><subject>Disease control</subject><subject>Disease Outbreaks</subject><subject>Disease prevention</subject><subject>Disease transmission</subject><subject>Economic development</subject><subject>Environmental health</subject><subject>Epidemics</subject><subject>Eradication</subject><subject>Geospatial data</subject><subject>Health sciences</subject><subject>Humans</subject><subject>Immunization</subject><subject>Incidence</subject><subject>Infectious diseases</subject><subject>Measles</subject><subject>Measles - epidemiology</subject><subject>Measles - transmission</subject><subject>Medicine and Health Sciences</subject><subject>Migrant workers</subject><subject>Migration</subject><subject>Minority &amp; 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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28376097</pmid><doi>10.1371/journal.pcbi.1005474</doi><orcidid>https://orcid.org/0000-0002-7216-7809</orcidid><orcidid>https://orcid.org/0000-0002-7555-9728</orcidid><oa>free_for_read</oa></addata></record>
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subjects Biology and Life Sciences
Children
Children & youth
China - epidemiology
Cluster Analysis
Demographics
Disease control
Disease Outbreaks
Disease prevention
Disease transmission
Economic development
Environmental health
Epidemics
Eradication
Geospatial data
Health sciences
Humans
Immunization
Incidence
Infectious diseases
Measles
Measles - epidemiology
Measles - transmission
Medicine and Health Sciences
Migrant workers
Migration
Minority & ethnic groups
Outbreaks
People and Places
Population
Population Surveillance
Prevalence studies (Epidemiology)
Public health
Regional development
Sampling
Social Class
Social Sciences
Statistics
Vaccination
Vaccines
Workers
title Geospatial characteristics of measles transmission in China during 2005-2014
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