About This app:

QDEWS is a system which gathers information of different epidemic-prone diseases from registered hospitals, monitors it and handles public health outbreaks on time to prevent the effective area from more casualties. The system will inform/warn and produce awareness in general public from its symptoms, caution and provide other concern knowledge.

Problem definition:

Many disease outbreaks occurs in Pakistan for the surveillance of which, the currently used system that operates is totally manual. Today, the time between a patients reporting their symptoms to the time conclusive lab test results are sent to healthcare authorities, is 2.5 weeks.

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Takes several weeks before an epidemic is identified, by which time it has spread significantly and has cost lives.

According to WHO (Oct 2013) there were 8,546 dengue effected and 33 people died in Pakistan and hundreds of people died due to dengue so for. This is because there is no such an automatic systems that can detect disease outbreaks on time which is causing the disease outbreak to spread and costs lives.

Proposed Solution:

QDEWS is system that gathers information of different epidemic-prone diseases from registered hospitals, monitors it and detects disease patterns using machine learning algorithms. It replaces manual system by automatic system which send alerts in near real time to authorities like NIH as soon as a potential outbreak is detected so action can be taken as soon as possible.

How it works:

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Reporting Modules:

There are three reporting modules, two of which has been developed.


Only registered users can access the web user panel. User will enter the number of cases for pre-defined list of diseases and the report will be submitted to the system.

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Registered users can submit their report using the android app too. User will enter the number of cases for pre-defined list of diseases and the report will be submitted to the system.

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There are some remote areas where internet access is not possible. For remote areas we aim to develop a SMS reporting module through which reports from those areas can also be reported and monitored.

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Business Model:

• As we’ll be going to implement this system at Government level so they will be our first source of revenue.

• NGOs can also implement this system so they can also be our source of revenue.

• As we’ll be having precious data so we will make an API. Pharmaceutical companies can use our API to determine that in which area there is a chance of specific disease outbreak so that they can supply more medicines for that specific disease and those companies will be benefited. That is how they will be our source of revenue.

• Information of disease outbreak is very meaningful for Media groups because they can cast this news earlier so that their TRP can be increased. So we will charge them for providing detailed information about disease outbreak and they will be our source of revenue.

• We will have a public SMS subscription alerts the system will track the location of the user if it changes so the system will the details of that specific place if there is any outbreak present there we will charge for the SMS and if the user needs information about that disease or precautions related to that disease we will provide that also but charge for this information.


• QDEWS decreases the amount of time it takes for health authorities to identify and respond to disease outbreaks by 94+%

• QDEWS save lives and money as less people will get sick and thus less burden on hospital and medics, impact of that 94% reduction in time to respond is on live and costs.


• Adoption by NIH and KP Public Health Department.

• Nationwide adoption.

• Expand to other countries for similar issues.


It is sustainable as disease outbreaks cannot be finished. Even in modern and well developed countries they face disease outbreaks. So this product is sustainable until we are having disease outbreaks.

Further we aim to extend this app by creating different versions of it. We aim to develop a version for polio vaccination monitoring that can tell in which areas vaccinations for polio is done and from which area cases of polio have encountered and what should be the priority for the vaccination.

We also aim to develop another version for flood monitoring that will use a hardware device which will be measuring the water level of the dams continuously after specific time and will be sending to our system real time and then that data will be monitored automatically. Back-end algorithm will generate flood warning if some threshold criteria meets. Those area which can be affected by that flood will be highlighted on the map and concerned authorities like NDMA will be informed.

Journey so far:

• Had some meetings with KP Health and IT minister Shahram Khan, Dr. Shaheen and Dr. Irfan (Senior faculty from KP Health dept.). We presented QDEWS to them and they gave very positive response regarding adoption of this system.

• We also presented to Dr Salman from NIH Islamabad and WHO.

• Winner of Islamabad Civic Hackathon 2015 organized by Code For Pakistan / OPEN Islamabad.

• Successfully graduated Code for Pakistan’s Accelerator.

• 1st from Peshawar / Semifinalist at Pakathon Global. Organized at MIT, Boston.

• Shortlisted in top 10 at First All Pakistan - DICE Health Innovation Exhibition 2015 which was organized at Dow University of Health Sciences, Karachi.

• We were in Top 12 entrepreneurs for Pakistan StartUp Cup 2015 organized by The Indus Entrepreneurs (TiE) Islamabad

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