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

Zhao, Lin; Wang, Haitao; Ye, Run-Ze; Li, Zhenwei; Wang, Wenjing; Jia, Chongqi; Du, Wan-Yu; Yin, Chao-Nan; Wang, Shanshan; Liu, Jinyue; Ji, Xiaokang; Wang, Yongchao; Cui, Xiaoming; Liu, Xueyuan; Li, Chunyu; Chang, Qi; Liu, Lili; Li, Xiujun; Xue, Fuzhong; Cao, Wu‐Chun

doi:10.1186/s12879-022-07313-6

Cited by 8 publications

(8 citation statements)

References 34 publications

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“…However, several infectious diseases outbroke in the past two decades in China, such as hand‐foot‐mouth infectious disease caused by enterovirus type 71 (EV71) in 2008, influenza A in 2009, and COVID‐19 in 2020 6,7 . Meanwhile, several infectious diseases including sexually transmitted diseases (STIs) and respiratory infectious diseases were still severe public issues in China due to the relatively high incidence rate 8,9 …”

Section: Introductionmentioning

confidence: 99%

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Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Wang

Yuan

et al. 2022

Journal of Medical Virology

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Research assessing the changing epidemiology of infectious diseases in China after the implementation of new healthcare reform in 2009 was scarce. We aimed to get the latest trends and disparities of national notifiable infectious diseases by age, sex, province, and season in China from 2010 to 2019. The number of incident cases and deaths, incidence rate, and mortality of 44 national notifiable infectious diseases by sex, age groups, and provincial regions from 2010 to 2019 were extracted from the China Information System for Disease Control and Prevention and official reports and divided into six kinds of infectious diseases by transmission routes and three classes (A–C) in this descriptive study. Estimated annual percentage changes (EAPCs) were calculated to quantify the temporal trends of incidence and mortality rate. We calculated the concentration index to measure economic‐related inequality. Segmented interrupted time‐series analysis was used to estimate the impact of the COVID‐19 pandemic on the epidemic of notifiable infectious diseases. The trend of incidence rate on six kinds of infectious diseases by transmission routes was stable, while only mortality of sexual, blood‐borne, and mother‐to‐child‐borne infectious diseases increased from 0.6466 per 100 000 population in 2010 to 1.5499 per 100 000 population in 2019 by 8.76% per year (95% confidence interval [CI]: 6.88–10.68). There was a decreasing trend of incidence rate on Class‐A infectious diseases (EAPC = −16.30%; 95% CI: −27.93 to −2.79) and Class‐B infectious diseases (EAPC = −1.05%; 95% CI: −1.56 to −0.54), while an increasing trend on Class‐C infectious diseases (EAPC = 6.22%; 95% CI: 2.13–10.48). For mortality, there was a decreasing trend on Class‐C infectious diseases (EAPC = −14.76%; 95% CI: −23.46 to −5.07), and an increasing trend on Class‐B infectious diseases (EAPC = 4.56%; 95% CI: 2.44–6.72). In 2019, the infectious diseases with the highest incidence rate and mortality were respiratory diseases (340.95 per 100 000 population), and sexual, blood‐borne, and mother‐to‐child‐borne infectious diseases (1.5459 per 100 000 population), respectively. The greatest increasing trend of incidence rate was observed in seasonal influenza, from 4.83 per 100 000 population in 2010 to 253.36 per 100 000 population in 2019 by 45.16% per year (95% CI: 29.81–62.33), especially among females and children aged 0–4 years old. The top disease with the highest mortality was still AIDs, which had the highest average yearly mortality in 24 provinces from 2010 to 2019, and its incidence rate (EAPC = 14.99%; 95% CI: 8.75–21.59) and mortality (EAPC = 9.65; 95%CI: 7.71–11.63) both increased from 2010 to 2019, especially among people aged 44–59 years old and 60 or older. Male incidence rate and mortality were higher than females each year from 2010 to 2018 on 29 and 10 infectious diseases, respectively. Additionally, sex differences in the incidence and mortality of AIDS were becoming larger. The curve lay above the equality line, with the negative value of...

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Section: Introductionmentioning

confidence: 99%

“…6 , 7 Meanwhile, several infectious diseases including sexually transmitted diseases (STIs) and respiratory infectious diseases were still severe public issues in China due to the relatively high incidence rate. 8 , 9 …”

Section: Introductionmentioning

confidence: 99%

Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Wang

Yuan

et al. 2022

Journal of Medical Virology

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“…Finally, 12 original studies met our inclusion criteria for meta-analysis (Fig. 1; references listed in Table 1) [27][28][29][30][31][32][33][34][35][36][37][38].…”

Section: Search Resultsmentioning

confidence: 99%

“…3). If one study with the lowest incidence (0.7‰) was removed [31], then the pooled HZ incidence was 5.00‰ (95% CI: 2.91-7.10) and there was not signi cant publication bias (Egger's regression test, p = 0.432).…”

Section: Meta-analysis Of the Incidence Of Hzmentioning

confidence: 99%

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Disease Burden of Herpes Zoster in China: A Meta-analysis and Evidence Quality Assessment

Zhang

Liu

Suo

et al. 2022

Preprint

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Background: This review aimed to estimate the disease burden of herpes zoster (HZ) in China and explore the application of the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach in observational studies of disease incidence. Methods: We searched for the literature for observational studies analysing HZ incidence in populations of all ages in China and assessed the quality of each study using the guidelines for the evaluation of incidence studies. Meta-analysis models were constructed to calculate the pooled incidence of HZ and pooled risks of postherpetic neuralgia (PHN), HZ recurrence, and hospitalisation. The studies were divided into subgroups according to sex, age, and quality assessment score and analysed. The quality of evidence for incidence was rated using the GRADE system. Results: Twelve studies with a total of 25,928,408 participants were included in this meta-analysis. The pooled incidence for all ages was 4.28‰ (95% confidence interval [CI]: 1.22–7.35). It increased by age group and increased significantly in those aged ≥60 years, which was 11.69‰ (95% CI: 6.56–16.81). The pooled risks of PHN, recurrence, and hospitalisation were 12.6% (95% CI: 10.1–15.1), 9.7% (95% CI: 3.2–16.2) and 6.0/100,000 population (95% CI: 2.3–14.2), respectively. The quality of the evidence assessment of the pooled incidence for all ages was ‘very low’, which was rated down by one category in limitations and one category in publication bias, with no categories rating it up. The result of the quality of evidence assessment for the ≥60 years old subgroup was ‘low’. Conclusions: HZ is a serious public health problem in China and is more significant in individuals older than 60 years. Therefore, an immunisation strategy for the zoster vaccine should be considered. The GRADE approach can be applied to the rating quality of evidence in disease incidence studies, but the process needs to be more specific and operable.

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PMN-MDSC: A Culprit Behind Immunosenescence and Increased Susceptibility to Clostridioides difficile Infection During Aging

Wu,

Zhang,

Zhang

et al. 2024

Engineering

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

Cited by 8 publications

References 34 publications

Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Trends and disparities in 44 national notifiable infectious diseases in China: An analysis of national surveillance data from 2010 to 2019

Disease Burden of Herpes Zoster in China: A Meta-analysis and Evidence Quality Assessment

PMN-MDSC: A Culprit Behind Immunosenescence and Increased Susceptibility to Clostridioides difficile Infection During Aging

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