Literature DB >> 28478789

Spatial distribution of mumps in South Korea, 2001-2015: identifying clusters and population risk factors.

Y-J Choe1, K Min1, S-I Cho1.   

Abstract

In South Korea, the resurgence of mumps was noted primarily among school-aged children and adolescents since 2000. We analyzed spatial patterns in mumps incidence to give an indication to the geographical risk. We used National Notifiable Disease Surveillance System data from 2001 to 2015, classifying into three periods according to the level of endemicity. A geographic-weighted regression analysis was performed to find demographic predictors of mumps incidence according to district level. We assessed the association between the total population size, population density, percentage of children (age 0-19 years), timely vaccination rate of measles-mumps-rubella vaccines and the higher incidence rate of mumps. During low endemic periods, there were sporadic regional distributions of outbreak in the central and northern part of the country. During intermediate endemic periods, the increase of incidence was noted across the country. During high endemic period, a nationwide high incidence of mumps was noted especially concentrated in southwestern regions. A clear pattern for the mumps cluster shown through global spatial autocorrelation analysis from 2004 to 2015. The 'non-timely vaccination coverage' (P = 0·002), and 'proportion of children population' (P < 0·001) were the predictors for high mumps incidence in district levels. Our study indicates that the rate of mumps incidence according to geographic regions vary by population proportion and neighboring regions, and timeliness of vaccination, suggesting the importance of community-level surveillance and improving of timely vaccination.

Entities:  

Keywords:  Geographical; mumps; spatial; vaccine

Mesh:

Substances:

Year:  2017        PMID: 28478789      PMCID: PMC9203439          DOI: 10.1017/S0950268817000899

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  15 in total

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3.  The effects of demographic change on disease transmission and vaccine impact in a household structured population.

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Authors:  Elizabeth T Luman; Lawrence E Barker; Mary Mason McCauley; Carolyn Drews-Botsch
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5.  Mumps increase in Flanders, Belgium, 2012-2013: results from temporary mandatory notification and a cohort study among university students.

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7.  Recent resurgence of mumps in the United States.

Authors:  Gustavo H Dayan; M Patricia Quinlisk; Amy A Parker; Albert E Barskey; Meghan L Harris; Jennifer M Hill Schwartz; Kae Hunt; Carol G Finley; Dennis P Leschinsky; Anne L O'Keefe; Joshua Clayton; Lon K Kightlinger; Eden G Dietle; Jeffrey Berg; Cynthia L Kenyon; Susan T Goldstein; Shannon K Stokley; Susan B Redd; Paul A Rota; Jennifer Rota; Daoling Bi; Sandra W Roush; Carolyn B Bridges; Tammy A Santibanez; Umesh Parashar; William J Bellini; Jane F Seward
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8.  Reemergence of mumps.

Authors:  Kyong Min Choi
Journal:  Korean J Pediatr       Date:  2010-05-31

9.  Comparative estimation of coverage between national immunization program vaccines and non-NIP vaccines in Korea.

Authors:  Young June Choe; Jae Jeong Yang; Sue K Park; Eun Hwa Choi; Hoan Jong Lee
Journal:  J Korean Med Sci       Date:  2013-08-28       Impact factor: 2.153

10.  Epidemic of mumps among vaccinated persons, The Netherlands, 2009-2012.

Authors:  Jussi Sane; Sigrid Gouma; Marion Koopmans; Hester de Melker; Corien Swaan; Rob van Binnendijk; Susan Hahné
Journal:  Emerg Infect Dis       Date:  2014-04       Impact factor: 6.883

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  2 in total

1.  Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005-2016.

Authors:  Guoqi Yu; Rencong Yang; Yi Wei; Dongmei Yu; Wenwen Zhai; Jiansheng Cai; Bingshuang Long; Shiyi Chen; Jiexia Tang; Ge Zhong; Jian Qin
Journal:  BMC Infect Dis       Date:  2018-08-02       Impact factor: 3.090

2.  Epidemiological characteristics of mumps from 2004 to 2020 in Jiangsu, China: a flexible spatial and spatiotemporal analysis.

Authors:  Mingma Li; Yuxiang Liu; Tao Yan; Chenghao Xue; Xiaoyue Zhu; Defu Yuan; Ran Hu; Li Liu; Zhiguo Wang; Yuanbao Liu; Bei Wang
Journal:  Epidemiol Infect       Date:  2022-04-08       Impact factor: 4.434

  2 in total

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