Using prediction polling to harness collective intelligence for disease forecasting

Using prediction polling to harness collective intelligence for disease forecasting

Abstract Background The global spread of COVID-19 has shown that reliable forecasting of public health related outcomes is important but lacking. Methods We report the results of the first large-scale, long-term experiment in crowd-forecasting of infectious-disease outbreaks, where a total of 562 vo...

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Bibliographic Details
Main Authors: Tara Kirk Sell, Kelsey Lane Warmbrod, Crystal Watson, Marc Trotochaud, Elena Martin, Sanjana J. Ravi, Maurice Balick, Emile Servan-Schreiber
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Public Health
Subjects:
Forecasting
Epidemic prediction
Crowd-sourced
Infectious disease
COVID-19
Ebola
Online Access:https://doi.org/10.1186/s12889-021-12083-y

Internet

https://doi.org/10.1186/s12889-021-12083-y

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