Boats filled with produce such as mangoes and jackfruit floating on a river. Women are seen on the boats selling the produce.
Credit:

Ania Blazejewska / Contributor

Licence: All Rights Reserved

Saleswomen from Can Tho floating market on the Mekong Delta in the southern region of Vietnam.

Could a new tool stop a dengue outbreak before it even starts?

Dengue is a threat to people’s health in Vietnam, and it’s being exacerbated by climate change. A new digital tool could protect more people by predicting where potential dengue outbreaks might happen.

Boats filled with produce such as mangoes and jackfruit floating on a river. Women are seen on the boats selling the produce.
Credit:

Ania Blazejewska / Contributor

Licence: All Rights Reserved

Saleswomen from Can Tho floating market on the Mekong Delta in the southern region of Vietnam.

Jane Bracher

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Could a new tool stop a dengue outbreak before it even starts?
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In 2022, Vietnam went through one of its worst dengue outbreaks. According to the World Health Organization (WHO), there were more than 360,000 reported cases of dengue and 140 deaths in Vietnam [PDF]. By comparison, in 2021, Vietnam recorded 72,880 cases and 27 deaths [PDF].

Kien Quoc Do, a senior epidemiologist in the south of Vietnam working in dengue surveillance, intervention and response, remembers the outbreak vividly.

“Hospitals and medical centres at all administrative levels in Vietnam were crowded [with] the patients,” said Do, who works at the Pasteur Institute directed by Vietnam’s Ministry of Health and in charge of communicable disease surveillance and control.

“They even [had] to share beds due to a huge number of hospitalisations per day. Doctors [and] nurses were all exhausted.”

A new digital tool, E-DENGUE, is being developed by public health researcher Dr Dung Phung at the University of Queensland in Brisbane, Australia, with funding through our discretionary awards within our Digital Technologies Development Awards portfolio

The tool will be used by Do and other local governmental health practitioners to predict outbreaks as early as two months in advance and try to prevent or mitigate them early.

Dengue in Vietnam 

Vietnam is among the countries with the highest number of cases around the world, alongside Brazil, the Philippines, Indonesia and India

Cases peak during the rainy season from June to November. From 2000 to 2020, Vietnam reported an average of 95,000 cases each year. Besides overwhelming the healthcare system and impacting people’s health, dengue in Vietnam also has an annual economic burden of millions of dollars.

The Mekong Delta region in the south of Vietnam – with its many rivers, canals and streams stemming from the Mekong River – is among the most affected annually. It had the highest record of dengue cases from 2000 to 2016.

Phung has seen first-hand Vietnam’s struggles dealing with dengue. He has worked as a medical doctor in Hanoi and as a health expert and researcher developing policy with Vietnam’s Ministry of Health.

One of the main challenges he’s identified is being one step behind the disease, reacting to an outbreak once it has already spread instead of being more proactive through prevention.

E-DENGUE is his solution to this challenge.

A digital tool to predict dengue outbreaks 

E-DENGUE is a software dashboard for desktop computers that will use various data sources to predict the incidence of dengue ahead of time, without relying on case reporting. If successful, Phung’s team may look into creating a mobile app as well.

The tool, which will be developed with prediction models, will allow local health practitioners to accurately predict where an outbreak might occur as early as two months ahead of time. It could give them valuable time to mobilise resources and control the outbreak even before it has taken place, putting public health practitioners one step ahead of dengue.

“We expect E-DENGUE can help reduce about 25% of dengue incidence and outbreaks in comparison with the current reactive prevention practice,” Phung said. “E-DENGUE can help facilitate proactive prevention rather than reactive prevention.”

E-DENGUE will utilise data strongly associated with dengue transmission and the increased risk of dengue incidence in communities. This includes: 

  • climatic data, such as
    • temperature
    • rainfall
    • relative humidity
  • socio-demographic data, such as
    • population density
    • the proportion of urban area
    • road transportation
    • water supply
    • socioeconomic status like poverty rate and average household income
  • preventive data, such as
    • vector monitoring 
    • mosquito control interventions
    • policy and regulations.

The tool will be tailored for the Mekong Delta region.

Phung has introduced the project to 13 provinces in the Delta, all of which have agreed to participate in the project.

“That means all provinces are aware of the strong benefit of the project to reduce the dengue incidence and the burden in the future,” he said. 

Ensuring the tool’s usability, cost-effectiveness 

Advanced technology won’t mean anything if it’s not usable for the communities that need it most. Making sure the tool is cost-effective and easy to use is one of the top priorities – and challenges – for Phung and his team.

“If we cannot develop a cost-effective tool for the health department to afford and to use in the current routine practice, that tool will not be used,” said Phung.

He intends for E-DENGUE to be integrated into the existing surveillance system, using already available data such as the weather station near the Mekong Delta region. Integrating the tool into systems already in use will help make it usable for local health practitioners like Do.

“Many projects before [would] have a forecasting tool but [would] require very high experience and knowledge and skilled staff to run the model and to interpret the model,” said Do.

“But for E-DENGUE, I hope that it's suitable so that the district health staff can use the model and can understand the result in an easy way so they can decide when and where to conduct the intervention for dengue control.”

Do also finds promising the possibility E-DENGUE can spot more precise locations for intervention – for example, at the district or community level.

“You can concentrate your intervention so it will save your resources – human resources and financial resources,” he said.

“If we cannot develop a cost-effective tool for the health department to afford and to use in the current routine practice, that tool will not be used.”

Dr Dung Phung

Public Health Researcher and Senior Lecturer

University of Queensland, Australia

Dengue and climate change 

“Together with global mobility and urbanisation, climate change is a major driver of the increase of the number of dengue virus infections, which have doubled every decade since 1990,” said Phung.

Shifts in human behaviour because of extreme weather events brought on by climate change are a problem. For example, prolonged drought can lead to saltwater intrusion into mainland waters, which then causes a freshwater shortage. This leads to the informal storage of fresh water among communities like those in the Mekong Delta region.

“When they store water, it [creates] a very beautiful and very wonderful breeding site for mosquitoes,” said Do. 

“The mosquito population will develop quickly in that situation so the dengue virus will be spread widely in communities, and we normally deal with a very big epidemic whenever there are climate change events like [intense] El Niño [or] the heavy rain in the dry season.”

If successful, E-DENGUE could have a valuable impact on the communities in the Mekong Delta region that currently have to live with the threat of dengue at all times. 

Phung hopes that, in an increasingly warmer world with a higher burden of vector-borne disease, E-DENGUE's usefulness could also extend beyond just Vietnam.

  • Dr Dung Phung

    Public Health Researcher and Senior Lecturer

    University of Queensland, Australia

    Dr Dung Phung is a Public Health Researcher and Senior Lecturer at the University of Queensland in Brisbane, Australia. He worked as a medical doctor in Hanoi, Vietnam and as a health expert and researcher developing policy with Vietnam’s Ministry of Health.

    E-DENGUE, the software dashboard he is developing that could predict the incidence of dengue ahead of time, is being funded through our discretionary awards within our Digital Technologies Development Awards portfolio.