More than 500 doctors, nurses across India infected by COVID-19 so far
The novel coronavirus has infected around 548 doctors, nurses, and paramedics across the country so far, according to data maintained by the Centre, official sources said on Wednesday.
The novel coronavirus has infected around 548 doctors, nurses, and paramedics across the country so far, according to data maintained by the Centre, official sources said on Wednesday (May 6).
The figure does not include field workers, ward boys, sanitation workers, security guards, lab attendants, peons, laundry and kitchen staff, among others.
According to an official source, it has not been ascertained from where these doctors, nurses, and paramedic staff have acquired the infection.
The figure includes doctors, nurses, and paramedics from Centre-run and state government-run facilities across states and union territories.
“No epidemiological investigation of the cases were done. So there is no clear segregation on how many contracted the disease at workplace and how many got it from the community,” the official source said.
Several doctors, who tested positive for COVID-19, are also reported to have died in the country. However, their exact numbers were not immediately known.
The official said that 69 doctors in the national capital have so far contracted the disease. COVID-19 has claimed 1,694 lives and infected 49,391 people nationwide till Wednesday (May 6) morning.
Besides, 274 nurses and paramedics have so far been infected by the virus.
As many as 13 healthcare personnel, including seven resident doctors and a professor, have tested positive for COVID-19 over the past two months at the Centre-run Safdarjung Hospital, the sources said.
Around 10 healthcare workers, including a resident doctor and five nurses, have contracted the disease so far at the AIIMS. Besides, some security guards have also been infected in the premier hospital.
Besides, several healthcare workers working in various central and Delhi government hospitals have also been infected by the disease, according to the data.