Monday, September 23, 2019

Flu-like epidemic could kill 80 mn globally, wipe out 5% global GDP: Report


In such an epidemic, India will lose 2 per cent of its gross domestic product (GDP)--that is, Rs 3.8 trillion.


With increased mobility, unprepared health facilities and the possibility of weaponising disease, a viral respiratory disease can travel through the world quickly, turning into an outbreak capable of killing up to 80 million people and wiping out 5 per cent of the world’s economy, a new report has warned.

In such an epidemic, India will lose 2 per cent of its gross domestic product (GDP)--that is, Rs 3.8 lakh crore ($53.5 billion) or roughly twice the Centre’s agriculture budget in 2019-20.

This is unless world leaders increase funding for disease control and coordinate their efforts to develop strategies to contain the disease, the Global Preparedness Monitoring Board (GPMB), convened by the World Health Organization (WHO) and the World Bank, said.

Drawing on the recommendations made by experts after the 2009 H1N1 influenza pandemic and 2014-16 Ebola outbreak along with other reports and data, the 15-member panel of experts, politicians and heads of agencies assessed the preparedness of countries in dealing with pandemics. The panel includes former WHO director-general Gro Harlem Brundtland and International Federation of Red Cross and Red Crescent Societies secretary-general Elhadj As Sy.

An outbreak of a viral disease such as Ebola, severe acute respiratory syndrome (SARS) and influenza will be more difficult to manage at a time when travel times are shorter than ever before, the report, released on September 18, 2019, said. Management is even more difficult in underdeveloped countries with large populations lacking access to healthcare.

Countries and donor agencies need to increase expenditure on building systems that detect health emergencies to ensure timely and adequate response and share data and resources like vaccines to minimise the spread of the pandemic, the board recommended.

Business Standard




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