Abstract：ObjectiveTo describe the epidemic feature of measles in Xingning district in 2014, and provide key information for improving the local control strategy. MethodsData were extracted from China information system for disease control and prevention from 01Jan2014 to 31Dec2014. We described the demographic feature of the measles cases and drew the epidemic curve to analyse the time-series of measles. Ripley’s K Function was used to detect the clustering of measles cases.Results193 cases were reported in 2014, among whom 55.96% were ≥15 years old, 24.87% were <8 month, and 4.14%-15.03% for other age groups.Only 4.66% patients had been immunized with measles-containing vaccine, 41.45% had unclear history of vaccine and 53.89% were nonimmune. 7.25% of the cases were mobile population, and 60.62% of the cases had a experience of hospital exposure 7-21 days before symptoms occurred. The epidemic peak (from May to July) showed a backward shift. The average case number were 0.53 per day, and the max case number reported in one day were 7. The total case density was 0.26 per square kilometers for Xingning District, and clusters were detected for the living place of these cases. The density descreased rapidly with the radius increasing from 100 to 200 meters, but after 400 meters it stayed relatively stable. Cases from different age groups also showed a clustering trend with each others.ConclusionsThe main disease burden came from the nonimmune persons and persons with unclear history of vaccine. Great attention should be paid to the primary and secondary cases from ≥15years old group, which played an important role in the backshift of the epidemic peak. According to the clustering feature, appropriate searching radius should be decided before carrying out case searching and the identification of measles cases from different age groups are also important.
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