Obaghe Edeghere

发表

Novel public health risk assessment process developed to support syndromic surveillance for the 2012 Olympic and Paralympic Games

Alex J. Elliot, Gillian E. Smith, Sue Ibbotson, 2017, Journal of public health.

Strategies for Controlling Non-Transmissible Infection Outbreaks Using a Large Human Movement Data Set

Matt J. Keeling, Penelope A. Hancock, Thomas House, 2014, PLoS Comput. Biol..

Using Twitter To Generate Signals For The Enhancement Of Syndromic Surveillance Systems: Semi-Supervised Classification For Relevance Filtering in Syndromic Surveillance

Iain Lake, Obaghe Edeghere, Oduwa Edo-Osagie, 2019 .

Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing

Beatriz de la Iglesia, Obaghe Edeghere, Oduwa Edo-Osagie, 2019, ICPRAM.

Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance

Iain Lake, Obaghe Edeghere, Gillian Smith, 2019, PloS one.

An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis

Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere, 2020, HAIS.

A scoping review of the use of Twitter for public health research

Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere, 2020, Computers in Biology and Medicine.

Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring

Beatriz de la Iglesia, Obaghe Edeghere, Oduwa Edo-Osagie, 2019, IWANN.

The COVID-19 pandemic: a new challenge for syndromic surveillance

Roger A. Morbey, Alex J. Elliot, Obaghe Edeghere, 2020, Epidemiology and Infection.

COVID-19 in Great Britain: epidemiological and clinical characteristics of the first few hundred (FF100) cases: a descriptive case series and case control analysis

Andre Charlett, Helen Strongman, Helen I McDonald, 2020 .

Estimation of outbreak severity and transmissibility: Influenza A(H1N1)pdm09 in households

Thomas House, Matt J Keeling, Obaghe Edeghere, 2012, BMC Medicine.