Clusters of Symptoms, Co-Morbidities and Description of Deceased across districts




For all the graphs on this page, if you click on the image then it will display an interactive graph, where as you hover your mouse pointer over the graph annotations with details will be displayed.



The above heat maps are between the different symptom clusters and the districts of Karnataka. In both heat maps, each cell represents the number of deceased patients corresponding to the given symptom cluster in the given district. The darker the colour of a cell, the fewer the number of deaths while the brighter the colour, the larger the number of deaths. The symptom clusters concerning Breathlessness, Fever, Cold and Cough are done separately from the rest of the symptom clusters because the number of deaths in these clusters are much higher than the remaining symptom clusters.

Among the first category of symptom clusters, it can be observed that there are more deaths in clusters such as Abodominal Pain, Body Pain, Fatigue and Chest Pain or Pneumonia as opposed to rarely observed symptoms such as Myocardial Infarction or loss of consciousness and altered sensorium.






The above bar graph is represents the ten symptom clusters vs. the number of deceased patients in each of the symptom clusters for all of Karnataka in total. As we can see, the number of deceased patients in the symptom clusters of breathlessness, cold, cough and fever, far exceed those in each of the other symptom clusters.






The above heat maps are between the different description clusters and the districts of Karnataka. In both heat maps, each cell represents the number of deceased patients corresponding to the given description cluster in the given district. The darker the colour of a cell, the fewer the number of deaths while the brighter the colour, the larger the number of deaths. The description clusters concerning ILI (Influenza Like Illness), SARI (Severe Acute Respiratory Illness) and Unknown (Contact Under Tracing and Under Investigation) are done separately from the rest of the description clusters because the number of deaths in these clusters are much higher than the remaining description clusters.

As it can be seen, in the first section, Bengaluru Urban has the largest number of deceased patients classifying under ILI and SARI for any district in Karnataka.








The above bar graph is represents the seven description clusters vs. the number of deceased patients in each of the description clusters for all of Karnataka in total. As we can see, the number of deceased patients in the description clusters of ILI (Influenza Like Illness), SARI (Severe Acute Respiratory Illness) and Unknown (Contact Under Tracing and Under Investigation), far exceed those in each of the other description clusters.






The above heat maps are between the different co-morbidities clusters and the districts of Karnataka. In both heat maps, each cell represents the number of deceased patients corresponding to the given symptom cluster in the given district. The darker the colour of a cell, the fewer the number of deaths while the brighter the colour, the larger the number of deaths. The co-morbidities clusters concerning Diabetes and Obesity, Heart Disease and Kidney related diseases are done separately from the rest of the co-morbidities clusters because the number of deaths in these clusters are much higher than the remaining co-morbidities clusters.






The above bar graph is represents the fifteen co-morbidities clusters vs. the number of deceased patients in each of the co-morbidities clusters for all of Karnataka in total. As we can see, the number of deceased patients in the co-morbidities clusters of Diabetes and Obesity and Heart Disease, far exceed those in each of the other co-morbidities clusters.