In this Blog, we are focusing on the how analytics based approached help uncover the hidden insight of Covid-19 Pandemic situation & data-driven decision are better approach.
Covid-19 Pandemic is one of the most concerning Global Health Crisis in today’s time and the Greatest Challenge that we have ever faced since the past few decades.
we recognize the significance of data in ensuring transparency, speed & confidence in decision making. Leveraging advanced analytics and visualization using SAS Technology on data captured across ICT applications deployed in frontlines, the Dashboard provides valuable insights & evidence for bold decisions to effectively fight the pandemic.
• Data Management – Consolidating the robust Data from different platform across regions.
• Visualization – Setting up a Command Control Center (CCC) to monitor situation.
• Scientific Parameters – Incorporating Scientific Parameters to monitor the pandemic (like Testing Rates, Doubling Rate, Fatality Rates etc.)
• Epidemic Modelling – Creation of Analytical Models (R0 Analysis, Risk Assessment Modelling, Medical Resource Optimization Model, Population Movement Index etc.)
• Predictive Modelling – Predictive Modelling capability to manage the uncertainty & help government & frontline Officers to take data driven decisions.
• Unstructured Data Analysis – Data derived from all Social Media Platforms to understand the Sentiments of the people and help government to take necessary actions to boost positivity across region.
Below is the sample set of a Dashboard of Command Control Center built on SAS Platform:
Module-based approach in CCC can help the government to take policy-level decisions like how &
when to Impose Lockdown, which hospitals are lacking required medical resources, Unlock strategies etc.
Below is the high-level explanation of each module shown in the above dashboard.
1) Infection Summary:
Infected Summary depicts its Intensity and widespread of COVID infection. cumulative Count of Active, Recovered, Deceased cases on date range
It will aid in analyzing the infection trend which will help to Governance the Testing process and Hospital Infra availability for the State.
2) Testing Summary:
The COVID-19 Testing process is especially important to keep a close watch on the testing conducted across the Geography & date range This summary will help the government to increase the support where needed to control the infection level. (Useful Measures Cumulative testing on time frame, Daily Testing count, Total testing summary, Testing Per Million Population -PMP, Testing Kit requirement)
3) Social Media:
Social media has been used by news outlets, organizations, and the general public to spread both valid information and misinformation about the pandemic. Fake news and misinformation create panic and anxiety in citizens which results in ill-advised responses to the outbreak (ie. Panic buying, etc). Defocuses government resources from where they might be most effective. Ability to ingest and analyze media content and output a scoring/validation of the content. Required Data Sources need from Social media feeds, Newsfeeds, Fake news APIs, Whistleblower/Fact-checking info, Government Communications Department. Using this type of data Measured Outcome are Reduced media noise, increase in optimal use of resources, Improved public sentiment toward the government’s handling of the outbreak.
4) Hospital Infrastructure:
We focus on availability & forecasting of government hospital Infrastructure in terms of beds/ICU Center /Ventilator/ Ambulance/ Frontline officers/ Doctors/ Nurses/ Mask/ PPE Kit/ Sensitization/ Quarantine centers & Beds etc. which can help to plan the utilization of different arms of Government accordingly.
Comparison and monitoring across the different Geography can be the adviser to The Government during the COVID-19 situation for taking decisions on lockdown or relaxation level also they can focus more on the highly impacted area and drive the essential support as needed.
6) R0 Analysis:
Reproducibility Rate (R0) is the average or expected number of people that an infected person could spread the virus in her ‘infected’ period. R0 Analysis acts as alarm about the spreading potential of this novel COVID-19 infection, On the Base of R0 Level we can project the effective susceptible population and take a strategic action accordingly.
(WHO Estimated the Range of R0 for India is between 1.4 to 2.5)
7) Doubling Rate Analysis:
Having Understood the Infection Level (R0), using that, we derived the Doubling rate across the different geography levels which will indicate how speedy it will be double the positive cases so the government can plan accordingly for the hospital infrastructure to fulfill the future requirement. Bifurcation of different coordinates on Red/ Orange/ Green Zone can identify which helps the government to take action accordingly.
8) Migrant Population:
The biggest challenge for the Government to manage migration activity from one state to another. Identified this module and developed view can help The Government to control and monitor each activity at 360° view. Developed the Route Optimization model which helps the Transport Department to Depart train from decided Source & Destination on the Given Date Time, numbers of Train to be departed. Accordingly, availabilities of Quarantine centers, Hospital Infra etc.
9) SIR Modeling Analysis:
The Forecasting of Susceptible population for COVID-19 infection has become very essential, so considering this we developed the module Based on SIR Dynamic. Which indicates future Susceptible count on the date frame, which can help local Authorities/ Administration department to develop the strategy accordingly.
There are many such modules which can be built basis how the Pandemic situation progress.
Here, we studied the main factors to Monitor the Covid-19 situation, what is more, we predicted the evolution trend of the existing epidemic data and found that imposing controls (Lockdown) would have an important impact on the epidemic.
In addition, according to the existing data we also make bold predictions of the epidemic development trends in India, pointing out the possible outbreaks and the corresponding control time, and tracing the earliest transmission dates of cities.
We hope that this article can make some contributions to the world to respond to this epidemic. Reach out to us at email@example.com for more information on the same.
Stay Safe!! Stay Healthy!!
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