Coronavirus is known as the severe acute respiratory syndrome with the virus being declared a pandemic back in March by the World Health Organisation (WHO). Since then, scientists have been scrambling to try and understand the virus better and have now found a model to be able to predict severity from COVID-19 based on a person’s early symptoms. How?
The researchers developed a model to predict which cluster a patient falls into and their risk of hospitalisation based on their age, sex, body mass index or pre-existing condition.
This prediction tool could provide an early earning on who is likely to need intensive care based on their early symptoms.
This discovery could have the potential to give support early to help reduce hospitalisations which is imperative if a second wave of infections is likely to hit.
Other less common symptoms have been reported, such as rash, nausea, vomiting and diarrhoea.
The severity of COVID-19 symptoms can range from very mild to severe.
Some people may have only a few symptoms, and some people may have no symptoms at all.
Some people may experience worsened symptoms, such as worsened shortness of breath and pneumonia, about a week after symptoms start.