{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15(1)"],"submitter":["Hasan M"],"pubmed_abstract":["Antimicrobial resistance (AMR), associated with irrational antimicrobial use (AMU) poses a significant health threat to both humans and animals. Thus, our research determined AMU patterns and their associated factors in Bangladeshi chicken farms. We conducted a cross-sectional study in 340 commercial chicken farms comprising broilers (109), layers (109), and Sonali (122) farms in seven districts of Bangladesh from September to October 2021. Data were collected using in-person interviews with a pre-tested semi-structured questionnaire. Statistical analyses were performed, including descriptive statistics to understand farmer demographics and AMU practices, a Chi-square test to evaluate farmers' knowledge, attitudes and practices (KAP), and logistic regression analysis to determine the facto"],"journal":["Scientific reports"],"pagination":["30103"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12358552"],"repository":["biostudies-literature"],"pubmed_title":["Determinants of indiscriminate antimicrobial use in commercial chicken farms in Bangladesh and their impact on food safety and public health."],"pmcid":["PMC12358552"],"pubmed_authors":["Islam S","Khan A","Hassasn MM","Islam A","Sayeed A","Khan AKMD","Noman ZI","Ali T","Clark CEF","Islam M","Al Mamun A","Shirin T","Hasan M"],"additional_accession":[]},"is_claimable":false,"name":"Determinants of indiscriminate antimicrobial use in commercial chicken farms in Bangladesh and their impact on food safety and public health.","description":"Antimicrobial resistance (AMR), associated with irrational antimicrobial use (AMU) poses a significant health threat to both humans and animals. Thus, our research determined AMU patterns and their associated factors in Bangladeshi chicken farms. We conducted a cross-sectional study in 340 commercial chicken farms comprising broilers (109), layers (109), and Sonali (122) farms in seven districts of Bangladesh from September to October 2021. Data were collected using in-person interviews with a pre-tested semi-structured questionnaire. Statistical analyses were performed, including descriptive statistics to understand farmer demographics and AMU practices, a Chi-square test to evaluate farmers' knowledge, attitudes and practices (KAP), and logistic regression analysis to determine the facto","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Aug","modification":"2026-05-04T12:37:07.915Z","creation":"2026-04-07T20:28:09.996Z"},"accession":"S-EPMC12358552","cross_references":{"pubmed":["40820200"],"doi":["10.1038/s41598-025-14108-7"]}}