Trends in epidemics pertaining to notifiable infectious diseases in China and prediction models for key diseases: a case study of Ziyang County

The incidence of tuberculosis decreased consistently, whereas the incidence of influenza rebounded sharply after nonpharmaceutical interventions were lifted. The SARIMA models reproduced seasonal patterns but showed limited accuracy for influenza and HFMD, reflecting the influence of surveillance changes, behavioral shifts, and sparse data. These findings highlight the need for complementary approaches-such as models explicitly accounting for structural breaks-to improve the reliability of local infectious disease forecasts.

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Publication Details

Journal
BMC Public Health
Published
2025-11-21
DOI
https://doi.org/10.1186/s12889-025-25482-2
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Trends in epidemics pertaining to notifiable infectious diseases in China and prediction models for key diseases: a case study of Ziyang County

Ben-long HU, Jian Luo, Lin Chen, Shunqing Xu
BMC Public Health
COVID-19 epidemiological studies
article

Trends in epidemics pertaining to notifiable infectious diseases in China and prediction models for key diseases: a case study of Ziyang County

Ben-long HU, Jian Luo, Lin Chen, Shunqing Xu
article en

Abstract

The incidence of tuberculosis decreased consistently, whereas the incidence of influenza rebounded sharply after nonpharmaceutical interventions were lifted. The SARIMA models reproduced seasonal patterns but showed limited accuracy for influenza and HFMD, reflecting the influence of surveillance changes, behavioral shifts, and sparse data. These findings highlight the need for complementary approaches-such as models explicitly accounting for structural breaks-to improve the reliability of local infectious disease forecasts.

BMC Public HealthVol. 25(1)
Xian Center for Disease Control and Prevention (CN), Community Health Center (US), Shenzhen Nanshan Center for Chronic Disease Control (CN), Shanghai Huangpu District Central Hospital (CN)
Shanghai Municipal Health Commission
Openalex Percentile: Top 60%
COVID-19 epidemiological studies
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Trends in epidemics pertaining to notifiable infectious diseases in China and prediction models for key diseases: a case study of Ziyang County — Ben-long HU, Jian Luo, et al. · BMC Public Health (2025) | TGRS Research Map | TGRS