ArticleNature communications2024
Epidemiological characteristics and transmission dynamics of dengue fever in China.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
27 citing papers in PubMed.
- Spatiotemporal dynamics of the unprecedented chikungunya outbreak in Guangdong, China.Emerging microbes & infections · 2026Article
- Dynamics and optimal control of a weighted-network dengue model with seasonal transmission.Infectious Disease Modelling · 2026Article
- Global source-sink dynamics of dengue viruses and epidemic establishment in areas on the fringe of endemic transmission.National science review · 2026Article
- Divergent urban-rural drivers of malaria vector ecology: a 6-year One Health longitudinal study in China.Parasites & vectors · 2026Article
- Climate and socioeconomic factors drive heterogeneous dengue risk escalation in the Chinese population.Communications medicine · 2026Article
- Comparative Epidemiology and Transmission Risk Assessment of Imported and Indigenous Dengue Fever at the National and Selected Provincial Levels, China, 2005-2025.China CDC weekly · 2026Article
- Establishment of multiple predictive models for early identification of the dengue cases in outpatient healthcare systems.Scientific reports · 2026Article
- Dengue transmission dynamics in China's border regions adjacent to Myanmar.Infectious diseases of poverty · 2026Article
- The Second Silent Pandemic: Why Arboviruses Demand an Orchestrated Global Health Response.Pathogens (Basel, Switzerland) · 2026Review
- Two Decades of Dengue in Indonesia: Long-Term Trends in Incidence, Mortality, and Disability-Adjusted Life Years, 2005-2024.Pathogens (Basel, Switzerland) · 2026Article
- Genomic Characterization of Dengue Virus in the Ningxia Hui Autonomous Region, China (2019 and 2023).Genome biology and evolution · 2026Article
- Evaluating the effectiveness of different intervention measures for a dengue outbreak in Hangzhou based on a dynamic model.BMC public health · 2026Article
- Update on efficacy, safety, and immunogenicity of Dengue vaccines: a systematic review and meta-analysis.Le infezioni in medicina · 2026Review
- PrepCare: a two-stage framework for infectious disease prioritization and alerts for nursing preparedness.Frontiers in public health · 2026Article
- Clinical Characteristics of Hospitalized Patients with Dengue Fever in Guangzhou, China.Infection and drug resistance · 2026Article
- Dengue and severe dengue.Clinical microbiology reviews · 2025Review
- The 2025 China report of the Lancet Countdown on health and climate change: empowering cities for synergistic action.The Lancet. Public health · 2025Review
- A paradigm shift in DENV-4 clinical presentation: A viewpoint on pulmonary inflammatory symptoms from the 2023 Lincang outbreak.PLoS neglected tropical diseases · 2025Article
- Estimating the transmissibility of the 2025 chikungunya fever outbreak in Foshan, China: a modelling study.Infectious diseases of poverty · 2025Article
- Seroprevalence of dengue in the general population of a Chinese southwestern border city: a community-based cross-sectional study.BMC infectious diseases · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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
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