Covid 19 Virus Spread Analytics
Analytics (Data) is playing a major role to control the spread of the Covid virus. Countries like China and South Korea were inclined earlier a lot to control the spread of this virus. Also, Italy started 4 weeks ago data analysis and virus spread modeling. Now Italy is much controlled with the spread and making a logical decision to control the mortality rates. Countries like USA, India etc. are mostly spending most of these analytic technologies to determine the spread.
Few of the Fixed and Variable Parameters:
Analytics (Data) is playing a major role to control the spread of the Covid virus. Countries like China and South Korea were inclined earlier a lot to control the spread of this virus. Also, Italy started 4 weeks ago data analysis and virus spread modeling. Now Italy is much controlled with the spread and making a logical decision to control the mortality rates. Countries like USA, India etc. are mostly spending most of these analytic technologies to determine the spread.
Few of the Fixed and Variable Parameters:
- Geography
- Symptoms
- Body Temperature
- Cough
- Cold
- Activities
- How many times a day wash hand
- How many time you touch your face
- Sneezing or coughing into a tissue
- Sneezing or Coughing to open area
- Surface touched
- Places travels
- Social Presence (In last 7 days )
- Social Distances
- Age Group
- Number of cases confirmed (positive) by geography
- Number of cases confirmed (negative) by geography
- Rate of case increase/decrease by date & geography
- The restriction imposed or relieved
- Medication / Precautions
- Number of critical, non-critical infected by geography
- Number of people recovered/died by the virus by geography
- Points to consider while building the Analytics for Covid 19 Network Map Topology: This will give the spread map across the world map
- Area Specific Topology: Will be specific to a Country/Specific area of the country
- Linear regression and Decision tree of the people impacted/cured/died (Correlation vs. Regression )
- Logistic regression for the future exponential impacts across the geography
- Kmean clustering algorithm to help you with the mean increase and decrease in disease using a particular recourse
- Random Forest to understand and categorize the impact/cure/source for a cure by timeline