CCDR: Vol. 46 No. 6-June 2020: Artificial intelligence in public health

Guest Editor: Rita Finley

Table of contents

Commentary
Precision public health: Dream or reality?
M Dobbins, D Buckeridge

Overview
Challenges and opportunities for public health made possible by advances in natural language processing
O Baclic, M Tunis, K Young, C Doan, H Swerdfeger, J Schonfeld

A call for an ethical framework when using social media data for artificial intelligence applications in public health research
J-P Gilbert, V Ng, J Niu, EE Rees

Towards automating systematic reviews on immunization using an advanced natural language processing–based extraction system
D Begert, J Granek, B Irwin, C Brogly

Application of artificial intelligence to the in silico assessment of antimicrobial resistance and risks to human and animal health presented by priority enteric bacterial pathogens
R Steinkey, J Moat, V Gannon, A Zovoilis, C Laing

Application of natural language processing algorithms for extracting information from news articles in event-based surveillance
V Ng, EE Rees, J Niu, A Zaghool, H Ghiasbeglou, A Verster

Implementation science
Good times bad times: Automated forecasting of seasonal cryptosporidiosis in Ontario using machine learning
O Berke, L Trotz-Williams, S de Montigny

Modelling scenarios of the epidemic of COVID-19 in Canada
NH Ogden, A Fazil, J Arino, P Berthiaume, DN Fisman, AL Greer, A Ludwig, V Ng, AR Tuite, P Turgeon, LA Waddell, J Wu

Guidelines
The Canadian Public Health Laboratory Network protocol for microbiological investigations of emerging respiratory pathogens, including severe acute respiratory infections
Respiratory Virus Infections Working Group

Series
Managing immunization stress-related response: A contributor to sustaining trust in vaccines
CM McMurtry