Real-Time Analytics Can Help Stop Ebola - InformationWeek

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Real-Time Analytics Can Help Stop Ebola
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shamika
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shamika,
User Rank: Ninja
10/30/2014 | 5:20:20 AM
Re: The analytics of Ebola
@impactnow you are correct and I agree with you. In that case we will need to have more accurate data in doing these predictions.
shamika
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shamika,
User Rank: Ninja
10/30/2014 | 5:17:24 AM
Re: The analytics of Ebola
This is an interesting article. Indeed analytics can always help in forecasting provided that we have the accurate data.
Broadway0474
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Broadway0474,
User Rank: Ninja
10/29/2014 | 11:29:20 PM
Re: The analytics of Ebola
impactnow, I would have to agree that trying to get any sort of model built off data from Africa would be pointless. These are countries where such data would be hard to come by in the best of circumstances, but now you not only have people being turned away from hospitals, but avoiding hospitals and any treatment because of stigma and mass confusion. 
tekedge
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tekedge,
User Rank: Moderator
10/29/2014 | 8:10:40 PM
Real - Time Analytics Can help Stop Ebola
There has to be  accurate reporting. Too much of the information will be left to chance if you go the analytics way.  Instead I like the idea of a  grand welcome of these health personnel and keep them in good facilities for quarantine because ebola has proved to be a deadly form of the virus so being careful is not stupid. It is strange that in a country where people with common cold are treated like lepers by their co workers, that one should even consider that being kept away is an insult. Instead I would have thought the health workers themselves would like the idea of being away from the population and sure that they do not carry the virus!
Whoopty
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Whoopty,
User Rank: Ninja
10/29/2014 | 12:56:04 PM
Accuracy
I too would be worried about the accuracy of such a system. I can see it becoming far simpler in the near future where a wearable could potentially perform a basic blood test and send that information to the cloud for analysis, but as it stands the numbers of people affected will surely not be accurate and if you open it up to allow more people to report, the number of false positives will go up as well. 
impactnow
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impactnow,
User Rank: Author
10/29/2014 | 12:36:49 PM
The analytics of Ebola

I too am fascinated by the analytics of Ebola. I have been reading about the complex modeling that public health professionals are doing to predict the rate of disease transmission outside of Africa however I think the major issue in Africa itself is getting an accurate count of cases since the infrastructure is overwhelmed and so many patients are dying at home because of the lack of hospital beds. That makes the analytics of the disease much more complex because we can't fully get an accurate count of cases, deaths or recoveries. The numbers then become a moving target and modeling becomes almost impossible.



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