Author:
Zhao Lin,Wang Hai-Tao,Ye Run-Ze,Li Zhen-Wei,Wang Wen-Jing,Wei Jia-Te,Du Wan-Yu,Yin Chao-Nan,Wang Shan-Shan,Liu Jin-Yue,Ji Xiao-Kang,Wang Yong-Chao,Cui Xiao-Ming,Liu Xue-Yuan,Li Chun-Yu,Qi Chang,Liu Li-Li,Li Xiu-Jun,Xue Fu-Zhong,Cao Wu-Chun
Abstract
Abstract
Background
The current surveillance system only focuses on notifiable infectious diseases in China. The arrival of the big-data era provides us a chance to elaborate on the full spectrum of infectious diseases.
Methods
In this population-based observational study, we used multiple health-related data extracted from the Shandong Multi-Center Healthcare Big Data Platform from January 2013 to June 2017 to estimate the incidence density and describe the epidemiological characteristics and dynamics of various infectious diseases in a population of 3,987,573 individuals in Shandong province, China.
Results
In total, 106,289 cases of 130 infectious diseases were diagnosed among the population, with an incidence density (ID) of 694.86 per 100,000 person-years. Besides 73,801 cases of 35 notifiable infectious diseases, 32,488 cases of 95 non-notifiable infectious diseases were identified. The overall ID continuously increased from 364.81 per 100,000 person-years in 2013 to 1071.80 per 100,000 person-years in 2017 (χ2 test for trend, P < 0.0001). Urban areas had a significantly higher ID than rural areas, with a relative risk of 1.25 (95% CI 1.23–1.27). Adolescents aged 10–19 years had the highest ID of varicella, women aged 20–39 years had significantly higher IDs of syphilis and trichomoniasis, and people aged ≥ 60 years had significantly higher IDs of zoster and viral conjunctivitis (all P < 0.05).
Conclusions
Infectious diseases remain a substantial public health problem, and non-notifiable diseases should not be neglected. Multi-source-based big data are beneficial to better understand the profile and dynamics of infectious diseases.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province, China
Open Project Program of the State Key Laboratory of Pathogen and Biosecurity
Spatiotemporal Epidemiology of COVID-19
Publisher
Springer Science and Business Media LLC
Cited by
5 articles.
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