WHO Director General Tedros Adhanom has urged nations to adopt data-driven approaches and tailored measures in combating corona virus pandemic in place of lockdowns which have triggered economic meltdowns in most countries.
Tedros, who spoke during a media briefing on COVID-19, termed lockdowns imposed in countries globally as “blunt instrument” which can be avoided.
“Lockdowns are a blunt instrument that have taken a heavy toll in many countries. With right mix of targeted and tailored measures, further national lockdowns can be avoided,” he told news reporters, Switzerland.
He pointed out many countries in the world that have used a data-driven approach to initiate a targeted COVID-19 response. “Several countries are using a data-driven approach to drive a targeted COVID-19.This is allowing them to open up carefully and safely while remaining ready to respond rapidly to new clusters or amplifying events,” Tedros said.
WHO DG singled out four priorities that countries need to focus on fighting pandemic key among them the need to protect the vulnerable. He also added that he wants to reiterate the four priorities we urge countries to focus on. Prevent amplifying events-empower people to protect themselves and others, focus on public health basics and protect the vulnerable.
He also noted that smokers have been found to be 1.5 times more likely to have severe complications from COVID-19 while people with diabetes are between 2-4 times more likely to have severe symptoms or die from the disease. Patients with diabetes are likelier to develop COVID-19, hence the need for tailored measures to protect them.
“COVID-19 has preyed on people with non-communicable diseases[NCDs]:cancer, cardiovascular disease, diabetes, NCDs and their risk factors are increasing vulnerability to COVID-19 infection and likelihood of worse outcomes, including in younger people,” Tedros added.
He further noted that “the pandemic has underscored the urgency of addressing non-communicable diseases and their risk factors.”Follow us in social media: