The Mekong Delta Region (MDR) of Vietnam is highly vulnerable to climate change, leading to elevated mosquito-borne dengue outbreaks. The current dengue control implementation is passive, without the proactive mobilization of local health practitioners and the community to promptly implement preventive actions to reduce dengue outbreaks, due to the absence of a dengue early warning system. This proposed study aims to build upon our previously developed prediction model and develop a web-based and mobile application (Apps) to use as early warning tools to mobilize community efforts to prevent outbreaks in high-risk provinces of the MDR. It is our goal/objective to make significant contributions to local health practitioners and communities by timely prediction and prevention of dengue outbreaks.
Research Impact
This project engages multidisciplinary experts and stakeholders from multiple institutions including governmental organisations, professional institutes, and universities worldwide.
The project teams have completed the development of an ensemble prediction model which can accurately provide probabilistic forecasts of dengue incidence and outbreaks from 1 to 3 months in advance at the district level of the Mekong Delta Region (MDR) of Vietnam.
To date, an early prototype of the E-DENGUE tool has been developed and is publicly accessible at https://edengue.com. The tool features a web-based dashboard system with a user-friendly interface, designed to support dengue outbreak prediction and response.
The project has completed the first Phase of the needs assessment, in which we conducted a stakeholder consultation workshop, two regional knowledge sharing workshop, expert consultation, and field trips to collect data for qualitative needs assessment.
The project teams have completed development of an ensemble prediction model that accurately provides probabilistic forecasts of dengue incidence and outbreaks up to 3 months in advance at the district level in the Mekong Delta Region (MDR) of Vietnam.
To date, the E-DENGUE digital tool, which embeds the prediction ensemble model, has been developed and is publicly accessible at https://edengue-chart.xtek.vn. The tool features a web-based dashboard system with a user-friendly interface, designed to support dengue outbreak prediction and response. The tool has been handed over to the Vietnamese partners to implement the third phase of the project.
The project has completed the first and second phases of the needs assessment, which included a stakeholder consultation workshop, two regional knowledge-sharing workshops, expert consultation, and field trips to collect data for the qualitative needs assessment.
The project is in the third phase (2026-2027), during which we are conducting a cluster-randomized controlled trial to evaluate the efficacy and effectiveness of E-Dengue in reducing dengue incidence and outbreaks.
Research Outputs
