Uploaded March 2019 | Updated September 2026, 7 hours ago
Google Flu Trends was a famous (but unsuccessful) attempt to predict flu outbreaks on the basis of anxious people searching for symptoms. A more pressing need is to work out whether people in remote villages might be harbouring an outbreak of Lassa, Zika or Ebola. Your goal is to design a smartphone-based field station that geolocates fever symptoms for members of a family or village, using technology from Cambridge startup SimPrints to identify individual cases. With advice from an infectious disease specialist, you can use machine learning to model potential outbreaks as they occur.
Google Flu Trends was a famous (but unsuccessful) attempt to predict flu outbreaks on the basis of anxious people searching for symptoms. A more pressing need is to work out whether people in remote villages might be harbouring an outbreak of Lassa, Zika or Ebola. Your goal is to design a smartphone-based field station that geolocates fever symptoms for members of a family or village, using technology from Cambridge startup SimPrints to identify individual cases. With advice from an infectious disease specialist, you can use machine learning to model potential outbreaks as they occur.
