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21 results on '"Ma, Chenjin"'

2. Pan-disease clustering analysis of the trend of period prevalence

Author

Jadhav, Sneha, Ma, Chenjin, Jiang, Yefei, Shia, Ben-Chang, and Ma, Shuangge

Subjects
Statistics - Applications
Abstract

For all diseases, prevalence has been carefully studied. In the "classic" paradigm, the prevalence of different diseases has usually been studied separately. Accumulating evidences have shown that diseases can be "correlated". The joint analysis of prevalence of multiple diseases can provide important insights beyond individual-disease analysis, however, has not been well conducted. In this study, we take advantage of the uniquely valuable Taiwan National Health Insurance Research Database (NHIRD), and conduct a pan-disease analysis of period prevalence trend. The goal is to identify clusters within which diseases share similar period prevalence trends. For this purpose, a novel penalization pursuit approach is developed, which has an intuitive formulation and satisfactory properties. In data analysis, the period prevalence values are computed using records on close to 1 million subjects and 14 years of observation. For 405 diseases, 35 nontrivial clusters (with sizes larger than one) and 27 trivial clusters (with sizes one) are identified. The results differ significantly from those of the alternatives. A closer examination suggests that the clustering results have sound interpretations. This study is the first to conduct a pan-disease clustering analysis of prevalence trend using the uniquely valuable NHIRD data and can have important value in multiple aspects.

Published
2018

5. Additional file 1 of Impact of the COVID-19 pandemic and the dynamic COVID-zero strategy on HIV incidence and mortality in China

Author

Wang, Lan, Zhao, Na, Wang, Yuliang, Sun, Kaili, Wang, Yike, Huang, Shufang, Yao, Feng, Guo, Xiangyu, Yang, Yunmei, Ma, Chenjin, and Liu, Shelan

Abstract

Additional file 1: Supplementary Figure 1. Trends in the monthly incidence, mortality rates, and CFRs for HIV in China in 2015–2019, 2020, 2021, and 2022. Supplementary Figure 2. Scatter plot of the number of monthly reported HIV cases and the number of monthly reported COVID-19 cases in 2020–2022, China.

Published
2023
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8. Additional file 1 of The impact of COVID-19 continuous containment and mitigation strategy on the epidemic of vector-borne diseases in China

Author

Guo, Xiangyu, Ma, Chenjin, Wang, Lan, Zhao, Na, Liu, Shelan, and Xu, Wangli

Abstract

Additional file 1: Table S1. Dates of provinces implementing response to public health emergency. Table S2. List of five vector-borne diseases, insect vectors, and pathogens. Table S3. Changes in the average yearly incidence of vaccine-preventable, non-vaccine-preventable, viral, and non-viral diseases among five vector-borne diseases in 2020 were compared with the previous five years in China. Table S4. Pairwise comparisons of the average monthly incidence of five vector-borne diseases for January to April in 2015���2019, 2020 and 2021. Table S5. Changes in the average yearly mortality rates of the vaccine-preventable, non-vaccine-preventable, viral, and non-viral diseases among five vector-borne diseases in 2020 compared with the previous five years in China. Table S6. Pairwise comparisons of the average monthly mortality rates of five vector-borne diseases for January to April in 2015���2019, 2020 and 2021. Table S7. Changes in the yearly incidence of five vector-borne diseases in 2020 between observed and predicted values. Table S8. Changes in the average monthly incidence of five vector-borne diseases in the emergency response stage (January to April 2020) and the routine response stage (May to December 2020) between observed and predicted values. Table S9. Changes in the yearly mortality rates of five vector-borne diseases in 2020 between observed and predicted values. Table S10. Changes in the average monthly mortality rates of five vector-borne diseases in the emergency response stage (January to April 2020) and the routine response stage (May to December 2020) between observed and predicted values.

Published
2022
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21. Epidemiological Features of Hepatitis C in China From 2015 to 2021: Insights From National Surveillance Data.

Author

Wang L, Ma C, Zhou Y, Wang Y, Zhao N, Chen Y, Miao Z, Yang Y, and Liu S

Abstract

The COVID-19 pandemic overwhelmed national health care systems, not least in the context of hepatitis elimination. This study investigates the effects of the pandemic response on the incidence rate, mortality rate, and case fatality rate (CFR) for hepatitis C virus (HCV) cases in China. We extracted the number of hepatitis C cases and HCV-related deaths by month and year for 2015 to 2021 in China and applied two proportional tests to analyze changes in the average yearly incidence rates, mortality rates, and CFRs for 2015 to 2020. We used the autoregressive integrated moving average model to predict these three rates for 2020 based on 2015 to 2019 HCV data. The incidence of hepatitis C decreased by 7.11% and 1.42% ( P < .001) in 2020 and 2021, respectively, compared with 2015 to 2019, while it increased by 6.13% ( P < .001) in 2021 relative to 2020. The monthly observed incidence in 2020 was significantly lower (-26.07%) than predicted. Meanwhile, no differences in mortality rate or CFR were observed between 2021, 2020, and 2015 to 2019. Our findings suggest that nonpharmaceutical interventions and behavioral changes to mitigate COVID-19 could have reduced hepatitis C incidence and accelerated China's implementation of a plan to eliminate HCV infection., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Published
2024
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