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Song-Quan Ong
PeerJ Author & Reviewer
15 Points

Contributions by role

Reviewer 15

Contributions by subject area

Epidemiology
Global Health
Hematology
Infectious Diseases
Statistics

Song-Quan Ong

PeerJ Author & Reviewer

Summary

Song-Quan Ong is a medical entomologist and computational ecologist at the Institute of Tropical Biology and Conservation (ITBC), Universiti Malaysia Sabah. His research focuses on the application of artificial intelligence and data analysis in the study of vector-borne diseases, with an emphasis on vector and disease surveillance, prediction and ecology. He holds a PhD in medical and veterinary entomology, a master's degree in molecular entomology and a second master's degree in data science and analytics. He was a postdoctoral researcher at Aarhus University, Denmark, where he further developed his expertise in computational ecology for rapid measurement of insect diversity using computer vision and deep learning. He is also a Civil Aviation Authority of Malaysia (CAAM) certified remote pilot (RCoC) with expertise in geospatial data and mapping. With his expertise in data science, entomology and as a licensed chemist, he integrates these disciplines to advance public health and biodiversity conservation.

Epidemiology Global Health Hematology Infectious Diseases Statistics

Past or current institution affiliations

Aarhus University

Work details

Senior lecturer

Universiti Malaysia Sabah
Institute of Tropical and Conservation

Websites

  • Song-Quan Ong 王松灌

PeerJ Contributions

  • Articles 1
March 1, 2024
Tracking mosquito-borne diseases via social media: a machine learning approach to topic modelling and sentiment analysis
Song-Quan Ong, Hamdan Ahmad
https://doi.org/10.7717/peerj.17045 PubMed 39670104