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Chennai: Data-Driven Home Quarantine and Isolation Management System (HQIMS)

September 9, 2020

The COVID-19 pandemic has thrown normal life into disarray turning routine governance upside down. India, being a developing nation is characterized with rapid urbanization, huge population and high density. Chennai too, being a densely populated city faces additional challenges in controlling the virus spread.

Amidst this chaotic environment, Tamil Nadu’s capital city Chennai has leveraged the use of technology and data to employ one of the largest “Home Quarantine & Isolation Management System (HQMIS)” in the country.

While consensus on the right strategy to combat this pandemic is still under debate, increased testing, robust isolation and quarantine management practices along with early treatment is considered the most effective way to combat COVID-19. Greater Chennai Corporation (GCC), realizing the importance of this three-pronged approach channelized its efforts in all three fronts. While the city boasts one of the highest per capita testing rates and efficient hospital management system, the focus of this blog is on the State of the Art, process driven HQMIS established by the ULB.

Home Quarantine and Isolation Management System (HQIMS)

“HQIMS” in the city was started with the mandate to establish a systematic, process driven monitoring and management system for citizens under Home Quarantine. This was a crucial step in the fight against COVID-19 as this was a shield against the spread of infection. People who had tested positive and did not need hospitalization, contacts of COVID positive patients and citizens who had migrated into the city were placed under home quarantine. On an average over 30,000 citizens are placed and monitored by this system daily.

Working Mechanism

The HQIMS adopts a 5-stage approach to ensure the HQIMS operates at maximum efficiency with minimal leakage.

  1. 18 different data sources have been identified such as Hospital discharge, Testing Lab Reports, Inter District and State Travel, Air Travel, Fever Clinics etc. from where data regarding citizens needing home quarantine flows into the system.
  2. Secondly, this data is collated, cleaned and demarcated according to the Corporation Zone the data point falls under.
  3. Once this data is demarcated zone wise, it is dispatched to the respective zonal officers in charge.
  4. The zonal offices through their assigned field volunteers known as “FOCUS” (Friends of COVID Person Under Surveillance) visit every person under Home Quarantine not once, but twice a day. Around 3300 young and passionate FOCUS volunteers have been appointed as foot soldiers for this task. The FOCUS volunteers visit the household, check the health status of the person under quarantine and ensure no breach of quarantine has occurred. In case a breach is detected, it is immediately notified to the zonal office concerned and the police for further action. The volunteers are equipped with a HQIMS app wherein they are mandated to enter the details of the quarantine persons, the site visit conducted and status report. The citizens in quarantine who need help in terms of essentials, food, medicines etc. are immediately arranged by the FOCUS volunteers themselves.
  5. Lastly, the Quarantine Management database is updated every night after both visits of the FOCUS volunteers is completed and status uploaded in the app.

 Data Visualization Dashboard

A centralized dashboard, receives and visualizes the data received in real-time, facilitating a closed loop monitoring mechanism. The following are some of the screenshots of the dashboard.

 

Persons Attended by Quarantine Type

 

Violations by Zones

 

Violations by Quarantine Type

Impact

One metric which is used to measure the spread of COVID-19 infection is the positivity rate (% of positive patients among total samples tested). This positivity rate in the city was on an increasing trend and reached a high of around 31% in mid-June. It is at this time the HQIMS was rolled out by the city. This effort coupled with increased testing and an effective lockdown ensured the positivity rate dropped from a high of 31% to 10.4%.

Chennai’s response to COVID is an example of how data, bolstered with technology, can help combat unprecedented governance challenges in an efficient and effective manner.

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