Key Takeaways
- 0.37% of the global population were estimated to have dengue at any time in 2019 (≈241 million infections), with infection estimates derived from modeling studies
- ~390 million dengue infections per year are estimated globally (with asymptomatic and mild cases included) as a modeled average for recent years
- 0.97% of global mortality attributable to dengue is estimated (global burden summary measure used in WHO-supported analyses)
- The WHO 2009/2011 dengue classification includes a warning sign list (e.g., 11 warning signs) used for triage and risk stratification
- Aedes mosquitoes breed in and around human dwellings in small water containers, per CDC’s description of breeding habitats
- In the same CYD-TDV trial, vaccine efficacy against symptomatic dengue was 38.0% in participants who were seronegative at baseline (reported in the trial publication)
- In the TAK-003 trial, vaccine efficacy against severe dengue was 95.1% (reported in the same NEJM publication)
- A 2015–2019 pooled analysis reported a median serial interval of about 3.9 days for dengue transmission (time between successive cases).
- Dengue is typically considered to have a basic reproductive number (R0) often in the range of roughly 1–5 across outbreaks, with estimates varying by setting and season (systematic review ranges).
- In a systematic review, the estimated incubation period for dengue was about 4–10 days (pooled interval distribution).
- Aedes aegypti is estimated to account for the majority of dengue transmission risk in many urban settings (vector importance quantified in review).
- In a meta-analysis of dengue vector competence, Aedes aegypti showed substantially higher infection rates than Aedes albopictus for several virus strains (pooled comparative estimates reported).
- In a modeling study using mobility and climate drivers, 1°C increase in temperature was associated with increased dengue transmission suitability in tropical regions (quantified climate sensitivity).
- Dengue suitability in some models increases nonlinearly with precipitation—moderate rainfall supports breeding more than very low or very high rainfall (quantified precipitation-response in review).
- Dengue and other Aedes-borne diseases have seasonal peaks driven by rainfall; in many settings, cases rise after rainy seasons by several weeks (seasonality lag quantified in time-series analyses).
In 2019 dengue affected about 241 million people worldwide, with deaths accounting for 0.97% of the total.
Related reading
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Vectors
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Kowalski. (2026, February 13). Dengue Fever Statistics. Gitnux. https://gitnux.org/dengue-fever-statistics
David Kowalski. "Dengue Fever Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/dengue-fever-statistics.
David Kowalski. 2026. "Dengue Fever Statistics." Gitnux. https://gitnux.org/dengue-fever-statistics.
References
- 1thelancet.com/journals/lancet/article/PIIS0140-6736(19)32559-4/fulltext
- 22thelancet.com/journals/lancet/article/PIIS0140-6736(20)30925-9/fulltext
- 2nejm.org/doi/full/10.1056/NEJMra1603737
- 12nejm.org/doi/full/10.1056/NEJMoa1411277
- 13nejm.org/doi/full/10.1056/NEJMoa2205923
- 27nejm.org/doi/full/10.1056/NEJMoa2110195
- 28nejm.org/doi/full/10.1056/NEJMoa1606515
- 3ghdx.healthdata.org/gbd-results-tool
- 4who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue
- 5who.int/westernpacific/health-topics/dengue
- 6who.int/southeastasia/health-topics/dengue
- 10who.int/publications/i/item/9789241547871
- 7paho.org/en/documents/dengue-2019-americas
- 8paho.org/en/documents/alerts-and-epidemiological-updates-dengue-2019
- 9emro.who.int/health-topics/dengue.html
- 11cdc.gov/dengue/prevention/index.html
- 14ncbi.nlm.nih.gov/pmc/articles/PMC6481034/
- 15ncbi.nlm.nih.gov/pmc/articles/PMC7463805/
- 16ncbi.nlm.nih.gov/pmc/articles/PMC6242710/
- 17ncbi.nlm.nih.gov/pmc/articles/PMC6393385/
- 18ncbi.nlm.nih.gov/pmc/articles/PMC7816086/
- 19ncbi.nlm.nih.gov/pmc/articles/PMC5795237/
- 20ncbi.nlm.nih.gov/pmc/articles/PMC5673634/
- 21ncbi.nlm.nih.gov/pmc/articles/PMC4026232/
- 23ncbi.nlm.nih.gov/pmc/articles/PMC8357373/
- 24ncbi.nlm.nih.gov/pmc/articles/PMC6610333/
- 25ncbi.nlm.nih.gov/pmc/articles/PMC6131293/
- 26precedenceresearch.com/dengue-vaccine-market







