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Epidemiological characteristics and transmission dynamics of dengue fever in China

Author

Listed:
  • Haobo Ni

    (Shantou University Medical College)

  • Xiaoyan Cai

    (Shantou University Medical College)

  • Jiarong Ren

    (Chinese Center for Disease Control and Prevention)

  • Tingting Dai

    (Shantou University Medical College)

  • Jiayi Zhou

    (Shantou University Medical College)

  • Jiumin Lin

    (Second Affiliated Hospital of Shantou University Medical College)

  • Li Wang

    (Sun Yat-sen University)

  • Lingxi Wang

    (Shantou University Medical College)

  • Sen Pei

    (Columbia University)

  • Yunchong Yao

    (Shantou University Medical College)

  • Ting Xu

    (Shantou University Medical College)

  • Lina Xiao

    (Shantou University Medical College)

  • Qiyong Liu

    (Chinese Center for Disease Control and Prevention
    Shandong University
    Xinjiang Key Laboratory of Vector-borne Infectious Diseases)

  • Xiaobo Liu

    (Chinese Center for Disease Control and Prevention
    Shandong University
    Xinjiang Key Laboratory of Vector-borne Infectious Diseases)

  • Pi Guo

    (Shantou University Medical College)

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 Reff 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.

Suggested Citation

  • 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, 2024. "Epidemiological characteristics and transmission dynamics of dengue fever in China," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52460-w
    DOI: 10.1038/s41467-024-52460-w
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    References listed on IDEAS

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    1. Rory Gibb & Felipe J. Colón-González & Phan Trong Lan & Phan Thi Huong & Vu Sinh Nam & Vu Trong Duoc & Do Thai Hung & Nguyễn Thanh Dong & Vien Chinh Chien & Ly Thi Thuy Trang & Do Kien Quoc & Tran Min, 2023. "Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Sen Pei & Teresa K. Yamana & Sasikiran Kandula & Marta Galanti & Jeffrey Shaman, 2021. "Burden and characteristics of COVID-19 in the United States during 2020," Nature, Nature, vol. 598(7880), pages 338-341, October.
    3. Jamie M. Caldwell & A. Desiree LaBeaud & Eric F. Lambin & Anna M. Stewart-Ibarra & Bryson A. Ndenga & Francis M. Mutuku & Amy R. Krystosik & Efraín Beltrán Ayala & Assaf Anyamba & Mercy J. Borbor-Cord, 2021. "Climate predicts geographic and temporal variation in mosquito-borne disease dynamics on two continents," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    4. Sen Pei & Jeffrey Shaman, 2017. "Counteracting structural errors in ensemble forecast of influenza outbreaks," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
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