C. Raina MacIntyre

According to our database, C. Raina MacIntyre authored at least 22 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria.

Omolara Kolawole, Ashley Quigley, Abrar Chughtai, Chandini Raina MacIntyre

J. Medical Syst., December, 2026

From Ecological Connectivity to Outbreak Risk: A Heterogeneous Graph Network for Epidemiological Reasoning under Sparse Spatiotemporal Data.

Haley Stone, Jing Du, Yang Yang, Ashna Desai, Rebecca Dawson, Hao Xue, David Heslop, Matthew Scotch, Andreas Züfle, C. Raina MacIntyre, Flora Salim

CoRR, January, 2026

Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting.

Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim

Proceedings of the ACM Web Conference 2026, 2026

2025

Generating a Contact Matrix for Aged Care Settings in Australia: an agent-based model study.

Haley Stone, C. Raina MacIntyre, Mohana Kunasekaran, Chris Poulos, David J. Heslop

CoRR, December, 2025

An attention-based hybrid model for spatial and temporal sentiment analysis of COVID-19 related tweets in the contiguous United States.

Bingnan Li, Danielle Hutchinson, Samsung Lim, C. Raina MacIntyre

Geo spatial Inf. Sci., July, 2025

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting.

Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim

CoRR, May, 2025

Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare.

Yonchanok Khaokaew, Flora D. Salim, Andreas Züfle, Hao Xue, Taylor Anderson, C. Raina MacIntyre, Matthew Scotch, David J. Heslop

CoRR, April, 2025

Simulated Infectious Diseases Datasets with Controlled Data Bias.

Ruochen Kong, Taylor Anderson, Matthew Scotch, David J. Heslop, Yonchanok Khaokaew, Hao Xue, Li Xiong, Chandini Raina MacIntyre, Flora D. Salim, Andreas Züfle

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models.

Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David J. Heslop, Andreas Züfle, C. Raina MacIntyre, Flora Salim

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

EpiScale: Large-Scale Simulation of Infectious Disease Based on Human Mobility.

Ruochen Kong, Taylor Anderson, David J. Heslop, Matthew Scotch, Flora D. Salim, Chandini Raina MacIntyre, Andreas Züfle

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

2024

Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread.

Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre

ACM Trans. Spatial Algorithms Syst., June, 2024

A machine learning-based universal outbreak risk prediction tool.

Tianyu Zhang, Fethi Rabhi, Xin Chen, Hye-young Paik, Chandini Raina MacIntyre

Comput. Biol. Medicine, February, 2024

2023

Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance.

Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen, Rebecca Dawson, Aditya Joshi, Samsung Lim, C. Raina MacIntyre, Deepti Gurdasani

CoRR, 2023

2020

Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

ACM Comput. Surv., 2020

'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia.

Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Cécile Paris, C. Raina MacIntyre

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

CoRR, 2019

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection.

Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

2017

ZikaHack 2016: A digital disease detection competition.

Dillon C. Adam, Jitendra Jonnagaddala, Daniel Han-Chen, Sean Batongbacal, Luan Almeida, Jing Z. Zhu, Jenny J. Yang, Jumail M. Mundekkat, Steven Badman, Abrar Chughtai, C. Raina MacIntyre

Proceedings of the International Workshop on Digital Disease Detection using Social Media, 2017

2013

Tool for E-Health Preparedness Assessment in the Context of an Influenza Pandemic.

JunHua Li, Pradeep Ray, Aishwarya Bakshi, Holly Seale, C. Raina MacIntyre

Int. J. E Health Medical Commun., 2013

2012

An E-Health Readiness Assessment Framework for Public Health Services-Pandemic Perspective.

JunHua Li, Pradeep Ray, Holly Seale, C. Raina MacIntyre

Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012