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#COVID-19 is a huge global health issue, which in many cases overwhelmed he...

#COVID-19 is a huge global health issue, which in many cases overwhelmed healthcare institutions. Planning resources is very difficult in this climate because no one knows when the next wave will hit. 

Because people start looking for symptoms, online search activity can help predict peaks of COVID-19 a couple of weeks in advance, according to scientists at UCL. They say this is because people search for symptoms online.

At the start of the first wave of COVID-19, information regarding the disease was readily available everywhere. As more time passed, people's interest in COVID-19 waned because it had become outdated information. Despite this, waves continued to arrive, and people continued to look for information online. According to research conducted by scientists, an event of this nature may serve as an early indicator of an impending pandemic wave.A model was developed by the researchers based on the symptoms of COVID-19 that were found in internet search activity. 

After that, researchers put their model to the test in a number of countries, such as the United Kingdom, the United States of America, Italy, Australia, and South Africa, and discovered that the results were consistent. This indicates that the model's creators were successful in identifying the approaching peak 17 days in advance. This information is, without a doubt, going to be incredibly helpful in the fight against COVID-19. On the other hand, the model that we have here will also be useful in the fight against future pandemics.

#covid19 #science #research #development #healthcare.

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