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

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

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...

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Bibliographic Details
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
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Institution: Universiti Malaysia Sarawak
Language: English

Internet

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

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