收藏切换
Trend and forecast of dengue disease burden in China based on GBD2021 database, 1990-2021
收藏切换
PDF
Yang-guang CAO, Jing WANG, Qian-qian ZHOU, Zhang-wei LU, Yi-yuan WANG, Bao-zhu LI
Modern Preventive Medicine | 2025, 52(6) : 1006 - 1011
Less
收藏切换
Modern Preventive Medicine | 2025, 52(6): 1006-1011
Epidemiology and Statistical Methods Advances
Trend and forecast of dengue disease burden in China based on GBD2021 database, 1990-2021
Full
Yang-guang CAO, Jing WANG, Qian-qian ZHOU, Zhang-wei LU, Yi-yuan WANG, Bao-zhu LI
Affiliations
  • Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of IHM, Hefei, Anhui 230032, China
Published: 2025-03-25 doi: 10.20043/j.cnki.MPM.202411511
Outline
收藏切换
Objective

To describe and analyze the disease burden of dengue fever in China from 1990 to 2021, and to provide evidence for the prevention and control of the disease.

Methods

Using the open data of the Global Burden of Disease (GBD) database from 1990 to 2021, this study analyzed the trend of dengue disease burden. The Joinpoint regression model was used to reflect the change trend of dengue burden, and the ARIMA time series model was used to predict the dengue disease burden in China in the next ten years.

Results

The incidence and prevalence of dengue fever in China increased from 0.37/100 000 and 0.02/100 000 in 1990 to 1.88/100 000 and 0.11/100 000 in 2021, and the DALYs rate decreased from 0.30/100 000 in 1990 to 0.04/100 000 in 2021. From 1990 to 2021, the age-standardized incidence and prevalence of dengue fever in China increased from 0.38/100 000 and 0.02/100 000 to 2.01/100 000 and 0.12/100 000, and the age-standardized DALYs rate decreased from 0.32/100 000 to 0.05/100 000. The Joinpoint regression model showed that, the age-standardized incidence rate (AAPC=5.59%, P<0.05) and age-standardized prevalence rate (AAPC=5.57%, P<0.05) of dengue fever in China from 1990 to 2021 showed an increasing trend, while the age-standardized DALYs rate (AAPC=-5.84%, P<0.05) showed a decreasing trend. The ARIMA forecast model showed a small decline in the burden of dengue in China from 2022 to 2031.

Conclusion

In China, the incidence and prevalence of dengue fever and its age-standardized rate showed an increasing trend, while the DALYs rate and age-standardized DALYs rate showed a decreasing trend. The burden of dengue fever in China is still relatively heavy, so preliminary screening and health education of dengue fever should be strengthened, and corresponding preventive measures should be formulated according to the characteristics of dengue disease burden.

Dengue fever  /  Disease burden  /  Forecast  /  Regression model
Yang-guang CAO, Jing WANG, Qian-qian ZHOU, Zhang-wei LU, Yi-yuan WANG, Bao-zhu LI. Trend and forecast of dengue disease burden in China based on GBD2021 database, 1990-2021[J]. Modern Preventive Medicine, 2025 , 52 (6) : 1006 -1011 . DOI: 10.20043/j.cnki.MPM.202411511
Year 2025 volume 52 Issue 6
PDF
79
36
Cite this Article
BibTeX
Article Info
doi: 10.20043/j.cnki.MPM.202411511
  • Receive Date:2024-11-26
  • Online Date:2026-03-18
  • Published:2025-03-25
Article Data
Affiliations
History
  • Received:2024-11-26
Funding
Affiliations
    Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Center for Big Data and Population Health of IHM, Hefei, Anhui 230032, China
References
Share
https://castjournals.cast.org.cn/joweb/xdyfyx/EN/10.20043/j.cnki.MPM.202411511
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT