LOGISTIC REGRESSION MODEL FOR PREDICTING MICROBIAL GROWTH AND ANTIBIOTIC RESISTANCE OCCURRENCE IN SWIFTLET (Aerodramus Fuciphagus) FAECES
العنوان: | LOGISTIC REGRESSION MODEL FOR PREDICTING MICROBIAL GROWTH AND ANTIBIOTIC RESISTANCE OCCURRENCE IN SWIFTLET (Aerodramus Fuciphagus) FAECES |
---|---|
المؤلفون: | Samuel Lihan, Hwa Chuan Chia, Sui Sien Leong, Teck Yee Ling |
المصدر: | JOURNAL OF SUSTAINABILITY SCIENCE AND MANAGEMENT. 16:113-123 |
بيانات النشر: | Penerbit UMT, Universiti Malaysia Terengganu, 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Veterinary medicine, biology, Geography, Planning and Development, Swiftlet, Enterobacter, Management, Monitoring, Policy and Law, Bacterial growth, biology.organism_classification, Pollution, Antibiotic resistance, Streptomycin, Aerodramus fuciphagus, Dry season, medicine, Feces, medicine.drug |
الوصف: | 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, and the lowest (6.71±1.09 log10 cfu/g) from Sibu in both rainy and dry season from March 2016 till September 2017. FB isolates were highly resistant against penicillin G (42.20±18.35%). Enterobacter and Enterococcal bacteria were resistant to streptomycin (40.00±51.64%) and vancomycin (77.50±41.58%). The model indicated that the bacteria could grow well under conditions of higher faecal acidity (pH 8.27), dry season, higher mean daily temperature (33.83°C) and faecal moisture content (41.24%) of swiftlet houses built in an urban area with significant regression (P |
تدمد: | 2672-7226 1823-8556 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e606518c95cb7e17f3659ea1c0024ae6 https://doi.org/10.46754/jssm.2021.06.010 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi...........e606518c95cb7e17f3659ea1c0024ae6 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 26727226 18238556 |
---|