1.89m octoberdecember: UK NHS Contact Tracing Application is an excellent combination of technology and human brain that was used to combat the pandemic. The purpose of this application was to mostly send messages to individuals. The question, phrase or phrase that pops up to your mind is : What kind of notification did it send? How can this app aid in stopping COVID?
The app operates in a straightforward efficient, secure, and simple method. The app was first downloaded on their smartphones and then registered themselves. It is a sensor-based app and records the amount of time. The user gets to an individual and the duration of time. If any of the users who have contacted one another tests positive for COVID-19 then the app instantly sends a notice to all the other users who have contacted the affected user. This transmits a red alert to those who made contact with the person affected by COVID, and allows them to shut down themselves as quickly as they can. Therefore, they are able to avoid contact with unaffected persons and stopping the spread of disease.
Researchers have found that through the use of this application many thousands of instances were ruled out. Which saved hundreds of people’s lives. Each time a notification is sent to the contacts of a COVID-affected person, it prevents a new case on an average basis,” said the researcher. (peerreviewed NHS 1.89m octoberdecember)
The study paper states that the app functions in the most efficient way as ” it sends about 1.7 million red signal notifications after its 560,000 users were tested positive for COVID-19.” It’s also observed that for a one percent increase in the number of users, cases are decreased by 0.8 percent, which is 2.3 percentage.
Further explained
The researcher employs two contemporary well-tested, scientifically tested and sophisticated methods to stop spreading COVID-19. The first is known as the “modeling” approach, in where assumptions are made regarding transmissions. The extent to which people are adhering to the rules concerning quarantine. The other approach is that of the “statical” approach, in the case that the data of local authorities were collected on active cases.
From the model approach, 284,000 cases were prevented . Using the statistical method the number was 594,000 which saved the lives of around 4000-8000 people. However, an insignificant and real result of the app been observed. It was observed that people have a higher degree of social isolation from one another than they typically do because the app tracks their distance. Then advises the need to quarantine. Researchers speculated that it indicates they’re using a ” statistical approach is more accurate than their modeling approach.”
The study paper also outlined how the app was extensively used. It also states it was widely employed in areas that were more rural. They are included in regions with lower levels of levels of poverty. The study also revealed that the transmission effect had substantially reduced in October when the app technology was operating on a massive scale. This was considered to be an “significant upgrade of 1.89m octoberdecember” by the researchers.
Prior to this update it was facing a number of problems, including wasn’t working on older smartphones and users were experiencing issues with contact tracing. It was also inaccurate several times, and the tracer functionality was not functional. Afterward the app was widely condemned by politicians. They claimed that the app is unproductive and doesn’t have “clear impact.” They added that it was just a waste of a million-dollar budget.
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Conclusion
The latest research suggests it’s just an app that could be a source of many technical issues. Therefore, people shouldn’t trust it. Researchers cautioned against placing too much trust in the system. They also said to ” don’t look at it as a substitute for social distancing and face masking: to control the pandemic. They are of equal importance and an app is just an approach, not a solution.”