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

SUMMARY 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..

Medienart:

Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:145

Enthalten in:

Epidemiology and infection - 145(2017), 10, Seite 2122

Sprache:

Englisch

Beteiligte Personen:

Y-J CHOE [VerfasserIn]
K MIN [Sonstige Person]
S-I CHO [Sonstige Person]

Links:

Volltext
search.proquest.com

BKL:

44.11

Themen:

Adolescence
Adolescents
Age
Children
Clusters
Data processing
Demographics
Disease control
Epidemiology
Geography
Health risks
Immunization
Incidence
Indication
Measles
Mumps
Outbreaks
Pediatrics
Population
Population density
Population number
Public health
Regression analysis
Risk analysis
Risk factors
Rubella
Spatial analysis
Spatial discrimination
Spatial distribution
Surveillance
Vaccination
Vaccines

RVK:

RVK Klassifikation

doi:

10.1017/S0950268817000899

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC1994160705