Nature Communications (Sep 2024)

Epidemiological characteristics and transmission dynamics of dengue fever in China

  • Haobo Ni,
  • Xiaoyan Cai,
  • Jiarong Ren,
  • Tingting Dai,
  • Jiayi Zhou,
  • Jiumin Lin,
  • Li Wang,
  • Lingxi Wang,
  • Sen Pei,
  • Yunchong Yao,
  • Ting Xu,
  • Lina Xiao,
  • Qiyong Liu,
  • Xiaobo Liu,
  • Pi Guo

DOI
https://doi.org/10.1038/s41467-024-52460-w
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 14

Abstract

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Abstract China has experienced successive waves of dengue epidemics over the past decade. Nationwide data on 95,339 dengue cases, 89 surveillance sites for mosquito density and population mobility between 337 cities during 2013-20 were extracted. Weekly dengue time series including time trends and harmonic terms were fitted using seasonal regression models, and the amplitude and peak timing of the annual and semiannual cycles were estimated. A data-driven model-inference approach was used to simulate the epidemic at city-scale and estimate time-evolving epidemiological parameters. We found that the geographical distribution of dengue cases was expanding, and the main imported areas as well as external sources of imported cases changed. Dengue cases were predominantly concentrated in southern China and it exhibited an annual peak of activity, typically peaking in September. The annual amplitude of dengue epidemic varied with latitude (F = 19.62, P = 0.0001), mainly characterizing by large in southern cities and small in northern cities. The effective reproduction number R eff across cities is commonly greater than 1 in several specific months from July to November, further confirming the seasonal fluctuations and spatial heterogeneity of dengue epidemics. The results of this national study help to better informing interventions for future dengue epidemics in China.