Born in India I have seen many cases of TB. Tuberculosis (TB) is an airborne infectious disease that is preventable and curable but in some countries there is a stigma and considerable discrimination towards the TB sufferers. Data Geek Challenge was the motivator for me to personally analyse and share the trends of this deadly disease. I was able to analyse and predict the trends in about 45mins (of which 20mins was downloading the software )
WHO is working to dramatically reduce the burden of TB, and halve TB deaths and prevalence by 2015. Data provided by countries to WHO andestimates of TB burden generated by WHO for Global Tuberculosis Report 2012 was used to analyse the trends. For more info please refer too –http://goo.gl/QtbRxs
SAP Predictive Analysis was used to forecast the number of TB death in India by using Triple exponential smoothing which takes into account seasonal changes as well as trends (below are the algorithm variables used) – http://goo.gl/ZDjxGs.
Triple Exponential Smoothing Summary:
StartYear : 1995
Alpha : 0.5 / Beta : 0.8/ Gamma : 0.5
The Base : 60241.94353238099
The Trend : 242.7169517519365
The Seasonal Indices : 1.3062963825520746
R-square factor : 1.1747219022589726
Mean Squared Error : 2.1647103181288164E7
Root Mean Squared Error : 4652.644751245056
Mean Absolute Percent Error : 14.013437896853375
Goodness of fit : 0.9730434333921768
fvalue : 697.2531298065552
Top 5 countries – Number of TB deaths in the world.
TB Deaths – Actual vs Predicted Forecast for India
(Please note: All figures shown are for illustration purposes only)
Impressive!
I have a quesiton about geospatial analysis. Do you make an adjacent rule for speading infections?
Hi Lee,
None, the colour highlighted were manually changed (right-click
on the label). Btw, you make a good point about predicting geospatial spread of
an infection – will try.
Cheers,
Nameeth
Hi Raman,
nice analysis. When you take a close look to the last 4 years of infections it seems like the results are stagnating or even decreasing. Maybe you can get a even better solution with a higher alpha and beta factor. So new values will take more account.
greetings
boris
Hi Boris,
Thanks. You are right, I tried with higher α (data) and β (trend) smoothing factor and the
prediction for last four years was leaning much closer to the dropping actual value – which is good!
Cheers,
Nameeth
Prediction looks better now 🙂
greetings
Herrmann
Certainly a very useful analysis in today’s world 🙂 Good choice of data story! ➕
Good Analysis…
Best Regards,
Naresh K.
Good work mate!! ➕ ➕
Hi Nameeth,
Good analysis
Regards
Arul
Hi Nameeth,
Thanks for the useful information, excellent !
Cheers,
Golf