Objective To assess the disease burden of dengue fever in China from 2010 to 2019, and to provide a basis for formulating strategies for dengue fever prevention and control and improving the rational allocation of health resources. Methods With reference to the case data reported in China's National Notifiable Infectious Disease Surveillance System, the method proposed by the World Health Organization was used to estimate the disease burden of dengue fever in China based on the indicators of years lived with disability (YLD), years of life lost (YLL), and disability-adjusted life years (DALY). Results A total of 91 555 cases of dengue fever, including 13 deaths, were reported in China from 2010 to 2019. Most patients were aged 15-59 years, accounting for 77.32%. The cumulative YLL burden attributable to dengue fever was 179 person-years, the cumulative YLD burden was 3 434 person-years, the cumulative DALY burden was 3 613 person-years, and the normalized DALY was 2.71 person-years per million population. From 2010 to 2019, DALY burden greatly increased from 9 person-years to 883 person-years. The DALY burden due to dengue fever was similar between male and female individuals, and male individuals had a slightly higher DALY burden than female individuals, with a male/female ratio of 1.06:1. The disease burden attributable to dengue fever was distributed in all age groups, mainly 15-29 years, 30-44 years, and 45-59 years, with a constituent ratio of >85%. Conclusion The disease burden of dengue fever in China tends to increase from 2010 to 2019, causing increasing risks to the population. It is recommended to further strengthen the surveillance and risk assessment of dengue fever and optimize the allocation of health resources, so as to provide a scientific basis for sustainable control of this disease.
XU Meng, LIU Xiao-bo, SONG Xiu-ping, WANG Yan-hua, QI Li, GUO Ya-fei, LI Wen, LIU Qi-yong
. Assessment research on the disease burden of dengue fever in China from 2010 to 2019 based on disability-adjusted life years[J]. Chinese Journal of Vector Biology and Control, 2020
, 31(5)
: 509
-512
.
DOI: 10.11853/j.issn.1003.8280.2020.05.001
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