Epidemiological characteristics and its trends of other infectious diarrhea diseases in infants in Inner Mongolia Autonomous Region, 2005-2016 / 中华传染病杂志

ABSTRACT

Objective@#To analyze the epidemiological characteristics and its trends of other infectious diarrhea diseases in infants in Inner Mongolia Autonomous Region.@*Methods@#Statistical analysis was conducted on other infectious diarrhea cases of infants in Inner Mongolia Autonomous Region from China Information System for Disease Prevention and Control from 2005 to 2016. The main methods were descriptive epidemiology for population, area and time distribution of these registered cases in Inner Mongolia Autonomous Region. The trends were analyzed by the ratio of fixed base and ring base. Area map method was used for regional differences.@*Results@#From 2005 to 2016, 17 760 other infectious diarrhea diseases of infants were reported in Inner Mongolia Autonomous Region, accounting for 58% of the total reported cases. The cases number and incidence showed an overall upward trend. After 2011, the growth rate of case reports and incidences slowed down relatively. The peak of the incidence was in July and August (4 739 cases), accounting for 27% of cases of the whole year. Seventy-three point forty-four percent of the cases were located in Hulunbeier City (5 161 cases, 29.06%), Hohhot City (4 465 cases, 25.14%) and Baotou City (3 417 cases, 19.24%) . Except for Wuhai City, the remaining 11 cities showed increased incidence of other infectious diarrhea diseases in infants. The ratio of male to female was 1.55∶1, and the incidence in males was higher than that in females every year. Twelve-month-old (5 800 cases, 33%) had the greatest proportion. Clinical diagnosis (56.26%) and confirmed diagnosis (43.51%) were the main categories, but the rate of pathogen labeling was only 7.60%.@*Conclusions@#After 2011, the incidence of other infectious diarrhea diseases of infants in Inner Mongolia Autonomous Region have slowed down relatively. However, the incidence has significant time, region and population aggregation.