Related Experiment Video
Updated: Jun 13, 2026

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus
Published on: May 31, 2020
The role of tropical cyclones in accelerating dengue transmission: insights from field experiments and dynamical
Yu Yan1,2, Mengjie Geng3, Yuwen Zhong4
1Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Introduction:
To quantify the impact of tropical cyclones on dengue transmission dynamics and related disease burden by integrating field entomology with dynamic modelling in Guangzhou, China.
Methods:
Guangzhou was selected as the study site considering that it is China's most dengue-endemic coastal megacity with frequent tropical cyclones and the country's largest recorded dengue outbreak in 2014. Mark-release-recapture experiments with laboratory simulations were performed in 2024 to assess the flight distance, reproduction and survival of Aedes albopictus under cyclone and baseline conditions to estimate human-mosquito contact rates. These data informed a dynamic susceptible-incubation-infected-recovered model simulating the 2014 dengue epidemic during Typhoons Rammasun and Kalmaegi. We estimated excess cases and economic losses against counterfactual baselines and projected the impact of enhanced vector control.
Results:
During cyclones, Aedes albopictus maximum flight distance increased by 63.0% and human-mosquito contact rate by 30.1%. Estimated R0 increased from 1.10 (baseline) to 1.43 (Rammasun) and 1.29 (Kalmaegi). The estimated excess burden reached 217 excess cases (US$76 400) for Rammasun and 5131 cases (US$1.93 million) for Kalmaegi. Enhanced vector control during Kalmaegi was projected to avert 59 360 additional cases (US$20.91 million).
Conclusions:
Tropical cyclones amplify dengue transmission by expanding mosquito dispersal and intensifying human-vector contact. Early vector control, guided by warnings, substantially reduces cases and costs.
Related Concept Videos
Malaria
Causality in Epidemiology

