{"id":42054,"date":"2025-12-18T20:01:00","date_gmt":"2025-12-18T13:01:00","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=42054"},"modified":"2025-12-18T20:01:00","modified_gmt":"2025-12-18T13:01:00","slug":"global-study-targets-dengue-as-disease-threatens-nearly-half-the-worlds-population","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=42054","title":{"rendered":"Global study targets dengue as disease threatens nearly half the world’s population"},"content":{"rendered":"\n\n\n
\"\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

LISMORE, Australia<\/span><\/span>, Dec. 18, 2025<\/span><\/span> \/PRNewswire\/ — Thousands of dengue forecasting models have been published, but few have been tested in real public-health settings. Now, researchers from the US and Australia<\/span> are launching a field evaluation in Vietnam<\/span> to see whether a new early-warning platform can support earlier interventions against a disease that WHO says puts nearly half the world’s population at risk.<\/p>\n

\n

&amp;amp;amp;amp;nbsp;<\/p>\n<\/div>\n

Southern Cross University<\/b>\u00a0(Aus) is leading the second phase of this multi-year collaboration, working alongside the University of Queensland<\/span><\/b> (Aus), Yale University<\/span><\/b> (USA<\/span>) and Vietnam’s<\/span> National Institute of Hygiene and Epidemiology<\/b>. This phase has focused on translating predictive modelling into E-Dengue<\/a>* \u2013 an open-source, user-friendly software system tailored for district-level decision-making.<\/p>\n

Southern Cross University researcher Dr Vinh Bui<\/span>, said the team’s priority has been creating a tool that frontline staff can use in real-world conditions.<\/p>\n

“There are thousands of published studies on dengue prediction models, but very few become tools that are practical for local teams,” said Dr Bui.<\/p>\n

“Our goal in this stage has been to build a tool that is reliable, actionable, fast and intuitive \u2013 something that supports, rather than complicates, routine public health work.”<\/p>\n

With the predictive models developed and the E-Dengue platform built, the project is now entering its most critical stage: integrating the tool into Vietnam’s<\/span> routine dengue surveillance and beginning a large cluster randomised controlled trial to test whether earlier warnings lead to earlier action and fewer outbreaks.<\/p>\n

“We’ve built a tool with strong potential, but the critical test is ahead of us,” said Dr Bui<\/p>\n

“The next three years will tell us whether early warnings lead to earlier, better-targeted interventions \u2013 and whether this improves health outcomes.”<\/p>\n

Although interest in disease early-warning systems is growing, very few have been adopted into routine practice anywhere in the world. The research team says understanding why<\/i> is just as important as building the technology.<\/p>\n

This work is guided by the project teams’ recently published “Useful, Usable, Used (3U) Framework<\/a>” in Nature Communications<\/i>, which examines how digital prediction tools can move from innovation to real-world adoption.<\/p>\n

Yale University<\/span> researcher Dr Robert Dubrow<\/span> said the next stage of the collaboration will provide crucial evidence on whether early-warning systems can shift dengue control from a reactive to a proactive approach.<\/p>\n

“Our team at Yale<\/span> has led the development of the predictive model underpinning the platform,” Dr Dubrow said.<\/p>\n

“We now look forward to working with our Vietnamese and Australian partners to rigorously evaluate whether early warnings change outcomes in practice.”<\/p>\n

Interest in the approach is emerging from neighbouring countries, including Thailand<\/span>, Laos<\/span> and Cambodia<\/span>, where dengue risk is rising under climate and population pressures.<\/p>\n

Full deployment of the tool across selected districts in Vietnam’s<\/span> Mekong Delta region will begin in early 2026. During 2026\u20132028, E-Dengue will be used in real public health decision-making while the research team conducts the randomised controlled trial and associated studies.<\/p>\n

“This is a challenging and complex process,” said University of Queensland<\/span> Associate Professor Dung Phung<\/span>.<\/p>\n

“Our long-term aim is to develop a tool that Vietnam’s<\/span> Ministry of Health sees value in maintaining beyond the life of the project.”<\/p>\n

*Please note the link to the E-Dengue site shows a simulation of the platform. <\/i><\/b><\/p>\n

Virtual briefing recording<\/b>
A recording of the virtual media briefing hosted by the Australian Science Media Centre on 18 December 2025<\/span> is available, featuring researchers leading the project. Media are welcome to download and use excerpts for their coverage:
https:\/\/us02web.zoom.us\/rec\/share\/XEvT9JEht30FH2LQOH8sN02ZQzqyFqtV1_AzJMdPxEnBChoVPh6WhMK32YAtvgNQ.jGa4fdz0weoWhzjo?startTime=1766014219000<\/a><\/p>\n

\n<\/div>","protected":false},"excerpt":{"rendered":"

<\/p>\n\n\n\n
\"\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

LISMORE, Australia<\/span><\/span>, Dec. 18, 2025<\/span><\/span> \/PRNewswire\/ — Thousands of dengue forecasting models have been published, but few have been tested in real public-health settings. Now, researchers from the US and Australia<\/span> are launching a field evaluation in Vietnam<\/span> to see whether a new early-warning platform can support earlier interventions against a disease that WHO says puts nearly half the world’s population at risk.<\/p>\n

\n

&amp;amp;amp;amp;nbsp;<\/p>\n<\/div>\n

Southern Cross University<\/b>\u00a0(Aus) is leading the second phase of this multi-year collaboration, working alongside the University of Queensland<\/span><\/b> (Aus), Yale University<\/span><\/b> (USA<\/span>) and Vietnam’s<\/span> National Institute of Hygiene and Epidemiology<\/b>. This phase has focused on translating predictive modelling into E-Dengue<\/a>* \u2013 an open-source, user-friendly software system tailored for district-level decision-making.<\/p>\n

Southern Cross University researcher Dr Vinh Bui<\/span>, said the team’s priority has been creating a tool that frontline staff can use in real-world conditions.<\/p>\n

“There are thousands of published studies on dengue prediction models, but very few become tools that are practical for local teams,” said Dr Bui.<\/p>\n

“Our goal in this stage has been to build a tool that is reliable, actionable, fast and intuitive \u2013 something that supports, rather than complicates, routine public health work.”<\/p>\n

With the predictive models developed and the E-Dengue platform built, the project is now entering its most critical stage: integrating the tool into Vietnam’s<\/span> routine dengue surveillance and beginning a large cluster randomised controlled trial to test whether earlier warnings lead to earlier action and fewer outbreaks.<\/p>\n

“We’ve built a tool with strong potential, but the critical test is ahead of us,” said Dr Bui<\/p>\n

“The next three years will tell us whether early warnings lead to earlier, better-targeted interventions \u2013 and whether this improves health outcomes.”<\/p>\n

Although interest in disease early-warning systems is growing, very few have been adopted into routine practice anywhere in the world. The research team says understanding why<\/i> is just as important as building the technology.<\/p>\n

This work is guided by the project teams’ recently published “Useful, Usable, Used (3U) Framework<\/a>” in Nature Communications<\/i>, which examines how digital prediction tools can move from innovation to real-world adoption.<\/p>\n

Yale University<\/span> researcher Dr Robert Dubrow<\/span> said the next stage of the collaboration will provide crucial evidence on whether early-warning systems can shift dengue control from a reactive to a proactive approach.<\/p>\n

“Our team at Yale<\/span> has led the development of the predictive model underpinning the platform,” Dr Dubrow said.<\/p>\n

“We now look forward to working with our Vietnamese and Australian partners to rigorously evaluate whether early warnings change outcomes in practice.”<\/p>\n

Interest in the approach is emerging from neighbouring countries, including Thailand<\/span>, Laos<\/span> and Cambodia<\/span>, where dengue risk is rising under climate and population pressures.<\/p>\n

Full deployment of the tool across selected districts in Vietnam’s<\/span> Mekong Delta region will begin in early 2026. During 2026\u20132028, E-Dengue will be used in real public health decision-making while the research team conducts the randomised controlled trial and associated studies.<\/p>\n

“This is a challenging and complex process,” said University of Queensland<\/span> Associate Professor Dung Phung<\/span>.<\/p>\n

“Our long-term aim is to develop a tool that Vietnam’s<\/span> Ministry of Health sees value in maintaining beyond the life of the project.”<\/p>\n

*Please note the link to the E-Dengue site shows a simulation of the platform. <\/i><\/b><\/p>\n

Virtual briefing recording<\/b>
A recording of the virtual media briefing hosted by the Australian Science Media Centre on 18 December 2025<\/span> is available, featuring researchers leading the project. Media are welcome to download and use excerpts for their coverage:
https:\/\/us02web.zoom.us\/rec\/share\/XEvT9JEht30FH2LQOH8sN02ZQzqyFqtV1_AzJMdPxEnBChoVPh6WhMK32YAtvgNQ.jGa4fdz0weoWhzjo?startTime=1766014219000<\/a><\/p>\n

\n<\/div>\n

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