Big data for social good

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Big data for social good

The Problem of Malaria

Cost Of Malaria To Society

The burden of malaria falls disproportionately on the poorest in the society. It carries heavy economic costs further widening the inequality gap. Malaria is bad for business since it is responsible for employee absenteeism and decreased productivity, all of which can strain the growth of a country. It is also the reason why thousands of children are missing from classrooms for several days in a year.

The good news is we have made progress in the last 100 years in shrinking the malaria map. We can completely eradicate it if we know when and where to invest in cost-effective preventative measures such as bed-nets and insecticide sprays.
Big data for social good

Big Data Ending Malaria

Big Data - The Backbone of Malaria Elimination

Big data is large amount of data that we get from things such as smartphones, computers, and everything that is wired on the “NET“, leaving digital footprint. By using mobility data, combined with health case data, we can predict malaria outbreaks.

Prevention is the backbone to malaria elimination. Malaria can take many forms, adapt to new environments and even develop resistance against anti-malaria drugs, making it hard to cure.

This is where our solution BD4 comes into play. By bringing continuous big data streams and community-based collection of malaria cases, we can accuratelly and timely predics the next disease outbreak and stay one step ahead of the mosquito.

Our Solution: BD4

The objective of BD4 is to give health workers in malaria risk areas timely, accurate and continuously updated data on malaria outbreaks, enabling health workers to focus their efforts to where they are needed the most. BD4 will provide health workers with an intuitive, easy-to-use digital platform where medical case data can be uploaded with the approval of patients.

Immediate uploads of medical data paired with human mobility data will give the health workers a detailed and highly accurate prediction model for mapping out the next disease outbreak. Once we know where the next outbreak is going to happen, we can take preventative measures, significantly reducing the spread of malaria.

BD4 is essentially a tool made by and for community health workers, and we will heavily rely on the health workers to continuously collect and update medical data to the platform. Only by engaging a large group of health workers, giving them the right training and skills, we are able to make a tool that is powerful enough to eliminate malaria.

Stopping the “Business As Usual”

Despite all efforts, there are still millions of people infected with malaria and thousands dying.

There is a great need for implementing preventative measures and further research and development of medicine. Countries where there has been a distribution of bed nets and spraying of insecticides have greatly reduced incidence of malaria.

We cannot continue with "business as usual". It is important that we educate as many people on the prevention, treatment and take action to end this disease!

What can you do right now?

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