Analysing informal milk supply chains data to identify seasonal occurences of antibiotic residues

Naveed Aslam, Sosheel Godfrey, Mateen Abbas, Muhammad Yasin Tipu, Muhammad Ishaq, David M. McGill, Hassan Warriach, Muhammad Husnain, Peter Wynn

Research output: Book chapter/Published conference paperConference paperpeer-review


Informal milk marketing chains provide the major milk supply link from
smallholder dairy production systems to consumers in developing countries. Prevalence
risk of antibiotic residues was investigated in milk samples (n = 528) collected
from different levels of informal supply chains in Pakistan from 2012–2013. After
screening, all positive samples were further analyzed by High Performance Liquid
Chromatography to quantify individual β-lactam residues. Fifteen percent of the
total samples were found to be positive for at least one of the antibiotics. All
positive samples (81/528) were positive for amoxicillin. Percentage of positive
samples for ampicillin and penicillin was 12.1 and 6.4% respectively. Percentages
of positive samples collected from farmers, small collectors, large collectors and
retailers were 17.5, 15.1, 8.3 and 13.5 respectively. When relating to season of
collection 11.3, 10.2, 19.1, 17.9 and 16.3% of samples in autumn, monsoon,
Original languageEnglish
Title of host publicationStatistics for data science and policy analysis
EditorsAzizur Rahman
Number of pages14
ISBN (Electronic)9789811517358
ISBN (Print)9789811517341
Publication statusPublished - 01 Apr 2020
EventThe 2nd Applied Statistics and Policy Analysis Conference: ASPAC2019 - Charles Sturt University, Wagga Wagga, Australia
Duration: 05 Sep 201906 Sep 2019 (program) (book of abstracts) (proceedings)


ConferenceThe 2nd Applied Statistics and Policy Analysis Conference
Abbreviated titleEffective policy through the use of big data, accurate estimates and modern computing tools and statistical modelling
CityWagga Wagga
OtherProceedings due for publication May 2020
Internet address


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