Logistic regression model for predicting microbial growth and antibiotic resistance occurrence in swiftlet (Aerodramus fuciphagus) faeces

• Main Authors: Sui Sien, Leong, Lihan, Samuel, Ling, Teck Yee, Hwa, Chuan Chia
• Format: Article
• Language: English
• Published: UMT 2021
• Subjects: QR Microbiology
• Online Access: http://ir.unimas.my/id/eprint/36169/1/regression1.pdf; http://ir.unimas.my/id/eprint/36169/; https://jssm.umt.edu.my/?page_id=544; https://doi. org/10.46754/jssm.2021.06.010
• Institution: Universiti Malaysia Sarawak

This study proposes a logistic model of the environmental factors which may affect bacterial growth and antibiotic resistance in the swiftlet industry. The highest total mean faecal bacterial (FB) colonies counts (11.86±3.11 log10 cfu/ g) were collected from Kota Samarahan in Sarawak, Malaysia...