Five-Year Trend Analysis of Blood-Borne Disease Screening Results in Shiyan, Hubei Province, China (2019-2023): A Time Series Study

Authors

  • Xuan Zhang
  • Fang Tian

DOI:

https://doi.org/10.62051/ijphmr.v2n2.18

Keywords:

Time series analysis, ARIMA model, Trend analysis, Public health statistics, Infectious disease trends

Abstract

This study aims to analyze the temporal trends of blood-borne disease (hepatitis B, hepatitis C, HIV, and syphilis) screening results in Shiyan City, Hubei Province, from 2019 to 2023. The research is based on five years of monthly screening data from the Shiyan Central Blood Station, utilizing time series analysis methods including trend analysis, seasonal analysis, and ARIMA modeling. Results show that the screening positivity rates for hepatitis B and hepatitis C demonstrate a slow declining trend, while the positivity rates for HIV and syphilis remain relatively stable. All diseases exhibit significant seasonal fluctuations, with higher detection rates in summer. The study also finds that the COVID-19 pandemic in early 2020 had a significant impact on screening work, leading to a temporary decrease in testing volume. This research provides important evidence for understanding the prevalence trends of blood-borne diseases in Shiyan City, offering references for local blood safety management and public health decision-making, and potentially providing methodological insights for similar studies in cities of comparable scale.

References

[1] Zeng, F., Guo, P., Huang, Y., Xin, W., Du, Z., Wu, Q., & Peng, Z. (2020). Epidemiology of hepatitis B virus, hepatitis C virus, human immunodeficiency virus and syphilis infections among first-time blood donors in Guangxi, China from 2008 to 2015. PloS one, 15(6), e0234082.

[2] Liu, J., Huang, Y., Wang, J., Guo, N., Li, J., Dong, X., ... & Wen, G. (2021). The increasing trend of HIV infections among blood donors in a blood center in Eastern China. Transfusion Medicine Reviews, 35(1), 43-49.

[3] Cleveland, R. B., Cleveland, W. S., McRae, J. E., & Terpenning, I. (1990). STL: A seasonal-trend decomposition procedure based on loess. Journal of Official Statistics, 6(1), 3-73.

[4] Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.

[5] Ljung, G. M., & Box, G. E. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297-303.

[6] Hyndman, R. J., & Khandakar, Y. (2008). Automatic time series forecasting: the forecast package for R. Journal of Statistical Software, 27(1), 1-22.

Downloads

Published

14-10-2024

Issue

Section

Articles

How to Cite

Zhang, X., & Tian, F. (2024). Five-Year Trend Analysis of Blood-Borne Disease Screening Results in Shiyan, Hubei Province, China (2019-2023): A Time Series Study. International Journal of Public Health and Medical Research, 2(2), 136-140. https://doi.org/10.62051/ijphmr.v2n2.18