
Mathematical modelling for tropical diseases
Jul 16, 2019 - 6:35
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Dr Xin Hui Chan from MORU (Mahidol Oxford Research Unit) in Bangkok, Thailand, tells us about the use of big data in our efforts to eliminate malaria Malaria is the most important parasitic infection to still affect huma...
Using big data to eliminate malaria is an episode from Malaria by Oxford University. Dr Xin Hui Chan from MORU (Mahidol Oxford Research Unit) in Bangkok, Thailand, tells us about the use of big data in our efforts to eliminate malaria Malar...
This episode belongs to Malaria.
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Published Jul 12, 2019, 3:57 long, audio available.
Dr Xin Hui Chan from MORU (Mahidol Oxford Research Unit) in Bangkok, Thailand, tells us about the use of big data in our efforts to eliminate malaria Malaria is the most important parasitic infection to still affect humans, and a safe use of antimalarial drugs is paramount. The current explosion of clinical data is causing a jungle of data; making sense of all this data will greatly help us in our fight to eliminate malaria.
You can listen to Using big data to eliminate malaria online on Radio and Podcast. Open the player on this page to stream the available audio.
Using big data to eliminate malaria is an episode from Malaria by Oxford University.
This episode is 3:57 long.
This episode was published on Jul 12, 2019.
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Yes. This page shows related episodes from Malaria when more episodes are available from the podcast feed.