COVID-19: What you need to know about the coronavirus pandemic on 2 June

1. How COVID-19 is affecting the globe

2. South America 'far from stable': WHO

Five out of the 10 countries reporting the highest number of new cases are currently in the Americas, said Michael J. Ryan, Chief Executive Director of the World Health Organization (WHO) Health Emergencies Programme.

While health systems in countries such as Brazil, the US, Peru, Chile and Mexico are coming under pressure, there’s been a “progressive increase in cases across a range of different countries.”

The WHO is particularly worried about countries with weakened health systems, such as Haiti. Additionally, Ryan said countries in Central and South America will need special support as they have become “intense zones of transmission for the virus."

Response in these countries is hampered by a range of complex factors, said Ryan, including the number of people living in urban settings and the number of urban poor.

“Clearly the situation in many South American countries is far from stable,” he said.

3. New Ebola outbreak reported

A new Ebola outbreak was detected in the Democratic Republic of the Congo, near Mbandaka, Équateur province, according to the WHO. This is the Democratic Republic of the Congo’s 11th outbreak of Ebola since the virus was first discovered in the country in 1976.

“This outbreak is a reminder that coronavirus is not the only health threat people face,” Dr Tedros Adhanom Ghebreyesus, WHO Director-General, said in a statement.

4. A new AI tool could help scientists fact-check COVID-19 claims

The scope of the COVID-19 crisis has ignited a range of expert commentary, but the resulting increase in papers and research has been difficult to parse.

The new SciFact tool should help, says the MIT Review. This tool, created by the Seattle-based research nonprofit Allen Institute for Artificial Intelligence (AI2), was built on top of a neural network and can help scientists sort through the available research by typing claims into a search bar. The resulting feed will include papers labeled as supporting or refuting a particular assertion.

How well does it work? According to the MIT Review, when the tool was tested on scientific claims related to COVID-19, "they found that it retrieved relevant papers and accurately labeled them 23 out of 36 times."