Chinese mobile data predicts COVID-19 Spread
Digital Planet - Een podcast door BBC World Service
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Using anonymous mobile data, researchers tracked the movement of people from Wuhan to other regions of China and showed that it was possible to predict the spread of the virus throughout the country. Professor Nicholas Christakis, a co-author of the study, shares how it was done and what other countries could learn from it. Malawi Solar-Powered Radios Malawi could be highly affected by the coronavirus pandemic. In particular rural areas without access to electricity are in need of help. Brave Mhonie, the general manager for the charity Solar Aid in Malawi, tells Gareth about the plan to bring solar powered lights to remote clinics as well as radios to rural communities to spread information about COVID-19. Robot Zebra Fish In a laboratory in New York, scientists study zebra fish by having them interact with their robot counterparts. Reporter Anand Jagatia went to Tandon School of Engineering to find out how this is done and how robo-fish might be helpful in the future. (Image: Chinese New Year celebrations. Credit: Lintao Zhang/Getty Images) The presenter is Gareth Mitchell with studio commentary from Ghislaine Boddington. Studio manager: Sarah Hockley. Producer: Ania Lichtarowicz