Each type of Covid-19 is differentiated from the other by the symptoms it presents.
Scientific researchers from King’s College London in Britain have identified atleast 6 types of the Covid-19 virus, which will assist in determining who will be a high risk when infected by the virus.
Researchers have found that other symptoms of the global flu are mild to moderate – and a person can recover without hospitalisation.
Data collected from 1 600 patients between March and April 2020 in the UK and US using a Covid-19 App has revealed the 6 types of Covid-19.
The types are distinct from one another and these findings will be used in the battle to fight the pandemic.
The 6 clusters are:
1. “Flu-like” With No Fever
– This type involves only headache, loss of smell, mild muscle pains, cough, sore throat, chest pain, but no fever.
2. “Flu-like” With Fever
– This type involves headache, loss of smell, cough, sore throat, hoarseness, loss of appetite and FEVER
– This types involves diarrhea, headache loss of smell, loss of appetite, sore throat, chest pain, but no cough.
4. Severe Level One Fatigue
– This type involves tiredness, headache, loss of smell, cough, fever, hoarseness and chest pain
5. Severe Level Two Confusion
– This type involves inability to know what is happening around you, accompanied with a headache, loss of smell, loss of appetite, cough, fever, hoarseness, sore throat, chest pain, tiredness and muscle pain.
6. Severe Level To Abdominal & Respiratory
– This type is the most dangerous and it results in the shortness of breath. It involves headache, loss of smell, loss of appetite, cough, fever, hoarseness, sore throat, chest pain, tiredness, confusion, muscle pain, shortness of breath, diarrhoea and abdominal pains.
Findings to help fight Covid-19
These new findings will help doctors determine the likelihood of a patient needing hospitalisation and if such hospitalisation has happened, will help determine if a patient needs oxygen or just treatment.
The findings “have major implications for clinical management of Covid-19, and could help doctors predict who is most at risk and likely to need hospital care in a second wave of coronavirus infections,” according to the college’s official website.
(edited by MLM)
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