Dr. Ajay Kumar, Associate Professor, Department of Plant Science, Faculty of Biological Sciences, Chuo University, Kerala, proposes to separate people from different groups and implement an online token system in the short term and an RFID-enabled Aadhaar card system in the long term. I will. Increases test center efficiency, reduces the risk of queue-related COVID infections, and reduces the amount of time people and COVID-19 warriors are in the queue.
When the second wave of COVID-19 hits the country and the number of positive cases exceeds 2.5 easy per day, the line of people at the COVID-19 testing center is increasing. I’m worried about the increasing number of cases, and I’m also worried about the queue.
To effectively manage the second wave of COVID-19, you need to revisit the basics of how to manage COVID-19 queues in the test center. I was recently tested at a nearby community health center and had to wait 40 minutes in a row in a closed hall before collecting samples for the RT-PCR test. I was surprised to see that I was ready to collect samples for two reasons.
First, they belonged to all age groups, and all people were lined up in the same closed hall, whether primary or secondary, symptomatic or asymptomatic.
Second, 95% of the time was spent collecting tokens and manually registering details, but it took less than a minute to actually collect samples for RT-PCR testing. Increased exposure time in the waiting room increases the likelihood of infection not only among people, but also among COVID-19 warriors.
Considering the difference in positive probabilities of people of different age groups and exposure groups, mixed cues have some flaws.
First, mixing symptomatological patients with other patients clearly increases the likelihood of COVID infection on the basis of suspicion or among those who come solely to confirm COVID infection.
Second, queuing primary contacts, secondary contacts, and contacts without contacts are also susceptible to infection of primary contacts, further increasing the potential for COVID-19 spread when mixed with others. There is a flaw in the sense that it will increase.
Mixed queues can be easily avoided by separating symptomatic and asymptomatic people, primary and secondary contacts from non-contact and reducing the risk of transmission of the infection. Finally, groups that tend to be at high risk for comorbidities should be completely separated from the above groups during sampling.
In addition to segregating people based on the difference between risk and positive probability, it is also important to reduce the time spent on queuing. Queue time can be reduced by short-term and long-term measures.
In the short term, it took the most time to collect tokens and register details rather than sample collection of tests by medical staff, so an online token system can be deployed for those who want to be tested. With an online token system in place, it’s easy to avoid the time spent queuing first to collect tokens, then register details, and then provide samples.
This reduction in time not only saves the COVID-19 warrior valuable time, but also reduces his exposure to the COVID-19 virus. It will also reduce the chances of infection for those who come to the test.
The introduction of the online token system will allow back-end medical teams to easily separate people from different age groups, risk groups, and exposure groups. These separate groups can be easily separated in time and space during sample collection by giving each group a different time slot. This will increase the efficiency of the test center, reduce the risk of queue-related COVID infections, and reduce the time people and COVID-19 warriors spend in the queue.
In the long run, Aadhaar cards should be enabled with non-contact technologies such as payment cards and radio frequency identification technologies such as FAStag. Non-contact technology Aadhaar cards are also important in Digital India’s long-term Indian aspirations, including distribution.
(The author is a PhD in the Department of Life Sciences, University of Java-Harlar Nehru, New Delhi and currently teaches at Kerala Central University. The expressed views are personal and reflect the views of Kerala Central University. I have not)
Return to COVID-19 Queue Basics
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