Profile and dynamics of infectious diseases: a population-based observational study using multi-source big data

BMC Infectious Diseases

Xiao-Kang Ji¹  Li-Li Liu¹  Fu-Zhong Xue¹  Yong-Chao Wang¹  Chun-Yu Li¹  Chang Qi¹  Xiu-Jun Li¹  Lin Zhao²  Hai-Tao Wang²  Jin-Yue Liu²  Wan-Yu Du²  Run-Ze Ye²  Wu-Chun Cao²  Wen-Jing Wang²  Xue-Yuan Liu²  Jia-Te Wei²  Chao-Nan Yin²  Zhen-Wei Li²  Shan-Shan Wang²  Xiao-Ming Cui³ 

[1] Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University;Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University;State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology;

关键词: Infectious disease profile;    Big data;    Incidence density;    Epidemiological characteristics;    Spatiotemporal dynamics;   

DOI  :  10.1186/s12879-022-07313-6

来源: DOAJ

【 摘 要 】

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 (χ 2 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.

【 授权许可】

Unknown