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Predict & Beat Dengue

The end of dengue is near. Who would have thought that data would be the answer? #webeatdengue

Project created from
13 APRIL 2016

Project status Execution




0% TO GO


Predict & Beat Dengue

medicine | technology | dengue

Hi, this is Dr. Dhesi and Rainier Mallol. Together, we want to find an efficient way to control dengue outbreaks using artificial intelligence. We plan to create an app using this approach that will allow us to predict the next dengue outbreak 3 months in advance. With your support, Malaysia will be the first country to enjoy this innovative approach to combat dengue. This app will be the first of its kind and the best part of it is that the app is FREE for all Malaysians to use.

The minds behind the dengue prediction app.

Here are a few facts about dengue.

Did you know that there are 400 million cases reported annually? Malaysia itself is seeing an upward pattern in both dengue cases and deaths. The World Health Organisation (WHO) in 2010 reported that dengue-affected countries spend an average of USD 440 million per year dealing with this menace. They have tried numerous ways to deal with dengue without success, and we believe that using data is the best way.

So how does this app work?

We’ve developed something called AIME (Artificial Intelligence in Medical Epidemiology). It’s a disease-prediction mobile platform that employs technology and data to predict deadly disease outbreaks. We use both machine learning and artificial intelligence in the prediction engine, combined with heavy epidemiological research and public-health best practices to help identify and limit the effects of deadly outbreaks in advance. Yes, in advance. We intend to turn this tool into an app for the first time to be used in Malaysia, and then open it up to other countries that can benefit from it too.

AIME: A disease-prediction mobile platform that employs technology and data to predict deadly disease outbreaks up to 3 months in advance.

Our experience with beating dengue thus far.

Our flagship Dengue Outbreak Prediction platform, with over 2 years in development, was the first such project deployed in Malaysia and Brazil. Its implementation was a success, proving capable of predicting outbreaks up to 3 months in advance and locating them up to a 400 meter radius with an accuracy of 88.7% in Malaysia and 84.6% in Rio de Janeiro.

The reason why we are creating an app.

By now, everybody probably knows someone who has suffered from dengue, but where does that data go? We believe that our current reactionary methods in dealing with disease outbreaks are insufficient and costly. That is why we embarked on this mission to create technology that will help us predict and possibly prevent an outbreak. The app will allow you and everybody to input data and improve the accuracy of the next outbreak. If you, your friend or anyone in your family has been affected by dengue, your case can be keyed into the app. This will help the app to locate the next outbreak even more accurately. The more people participate, the better it’ll get – which is why we’re reaching out to the community for support.

What we want to achieve.

First of all, we want to create this innovative app and make it available for free to download. It will also include tips and preventive measures for dengue. We hope that by crowdsourcing data from the community, we will help people to be more aware of dengue. This powerful app will also provide the authorities with critical information about where and when an outbreak is likely to occur. This will help them take necessary action like warning the public and clearing potential breeding sites, which would help prevent the spread of disease and save lives. It could also mean greater healthcare savings for both the government and the public.

Using crowdsourcing to help the app locate, predict and prevent dengue outbreaks.

This isn’t our first walk in the park with artificial intelligence.

Dr Dhesi I’m attached with the Ministry of Health, Malaysia. I’ve had the opportunity to invent multiple Artificial Intelligence Health Programs that include ‘I-DAFTAR’, an autonomous system that schedules patient appointments and ‘I-KELAHIRAN’, which organizes birth data and tracks high-risk pregnancies. I’m also the founder of Malaysian Medical Gazette, a leading online health portal. Rainier Mallol I’ve been fortunate to be the co-founder and COO of AIME. My passion is in creating new technologies to positively impact people’s lives. With AIME, I’ve started tackling life threatening diseases, specifically Dengue and Zika. Now, we’re aiding the government of Sao Paulo in Brazil in tackling diseases more efficiently. We’ve been awarded titles such as: Best Health Startup in Latin America and Channel NewsAsia Top 8 startups in Southeast Asia. As healthcare professionals, we believe in taking responsibility for the alarming number of dengue cases that occur every year. With AIME, we don’t have to stand on the side lines watching helplessly, but can instead take strong proactive measures and hopefully end the war on dengue once and for all in Malaysia with this app.

Rainier Mallol (Far right) & Dr. Dhesi (2nd from right) doing dengue surveillance with locals in Brazil.


2017, it will be ready real soon. Stay tuned!

Happy new year to all webe community members. How are you guys doing? Hope you have a wonderful new year. New year, new resolution, and we can’t wait to unveil our Predict & Beat Dengue App that will be available to all Malaysians for free on both iOS and Android.

What we have been up to lately.

A post-interview photo update with Astro Awani last week. We are proud to share our knowledge across the world in highlighting and combatting dengue and Zika diseases.

Zika outbreaks in Malaysia

I returned to Malaysia after Rio Olympics 2016, and engaged with local health authorities and the Ministry of Health to deal with the recent Zika cases in Malaysia. Because of that, webe has taken the initiative to help the community by including the function of Zika outbreak predictions.

Greetings from Rio de Janeiro, Brazil – Rio 2016 Olympics

It was an honour for us to be invited by the Brazilian government to predict and combat dengue and Zika for the Rio Olympics 2016. We managed to predict the potential outbreaks and thousands of lives were saved from this malicious threat.

Sneak peek of our initial Dengue App design

After months of development, we are proud to present some of our initial designs developed for the Dengue App.

This has to be changed! Proactive rather than reactive!

What’s the difference between our Dengue App compared to the others you see out there? Well, based on my area of expertise, I can safely conclude that most of the apps out there were developed in a reactive model where actions were taken and news were spread after a malicious incident happened to an innocent victim.

Predict & Beat Dengue

Hi guys! I am going to explain briefly what our project is all about to newcomers. Rainier and I are going to develop a mobile DENGUE APP that can predict dengue up to 3 months in advance within a 400meter radius with 88.7% accuracy here in Malaysia.

Thank you webe community members!

Hi webe community members! Rainier and I would like to express a million thanks to those who had supported on our project. Really, this wouldn’t be possible without you guys! Your pledges have made this a reality to us.

"Millions are more likely to die in the next few decades not due to war or missles but infectious disease. Let's start by beating dengue today!"

by Dhesi Baha Raja

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