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All too often companies have only the vaguest idea about what kind of data they’re holding; because such data is very often hidden deeply away in a variety of databases and fragmented across different departments. We identify this data and bring it to light, making it visible, cohesive, comparable and easy to understand so that it really does support YOU in making the right decisions. And if need be, we can also identify any lacking data and define a concept to fill in the gap.

What is causing Increasing Anxiety Levels in this Pandemic time?

Posted by on Aug 3, 2020 in Uncategorized | No Comments

Objective: As the world is witnessing an unprecedented outbreak of mass proportions, and all of us are doing our bit by ensuring ‘social distancing’, essentially locking ourselves inside our own homes, totally avoiding social interactions. We wanted to understand what are the different attitudes/actions which are causing increased anxiety levels in this pandemic.

Data source:   we have considered India data from the Kalos 2020 a survey done at an international level across 15 nations around 7,000 respondents by Toluna & Kaleidosense.

Approach:  As in the Kalos 2020 respondents were asked to rate 4 point scale on various attitudes to life change due to covid , such as Quality time, Learning new things, Retail Experience,  WFH  , outdoor activities..etc. and also captured  the individuals anxiety levels .   In order to find what is driving increased anxiety levels we categorized the increasing anxiety levels into positive and negative and find the drivers what is causing positive in increased anxiety levels. This analysis we have done at   overall level as well as among males and females to check is there any differences emerge.

As being Increased Anxiety levels is being dichotomous (positive/negative) variable, we have applied a popular well known classification technique call logistic regression  and regressed this  increased anxiety levels  on various Quality, Learning new things  , Retail  Experience, WFH, Outdoor activities  related attributes and selected the  statistically significant attributes which are driving the increased anxiety levels with the accuracy of  90%.

Then we have normalized the each attitude importance from the above table and then calculated relative importance through which we can order these attributes as per their order importance on causing increased levels of anxiety.  And the below is the same for at an overall level as well as among males and females.

Impact:  From the above. At an overall level we can see that somehow Quality family time is over rated than actual causing more anxiety followed by not able to enjoy the earlier retail experience and not able to enjoy the routine life ,due to not able spend more time outdoor and scary of Coughing/Sneezing in public and also noticed there is clear difference for increasing anxiety among males and females

Venugopala Rao Manneni

A doctor in statistics from Osmania University. I have been working in the fields of data analysis and research for the last 14 years. My expertise is in data mining and machine learning – in these fields I’ve also published papers. I love to play cricket and badminton.

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