Phenotypic Antimicrobial Resistance Patterns in E. coli, Salmonella, and Enterobacter Species Isolated from Broiler Chicken Meat in Mzimba, Malawi: Insights from the Multiple Antibiotic Resistance Index.
7 affiliations
- 1Department of Animal Production and Food Safety, Faculty of Veterinary Sciences, Eduardo Mondlane University, Bairro Luis Cabral, Avenida de Moçambique, Km 1.5, Maputo P.O. Box 257, Mozambique.
- 2Centre of Excellence in Agri-Food Systems and Nutrition (CE-AFSN), Eduardo Mondlane University, Praça 25 de Junho Posta 257 Edifício da Reitoria 5◦ Andar, Maputo P.O. Box 257, Mozambique.
- 3Mzuzu Regional Veterinary Laboratory, Mzuzu P.O. Box 8, Malawi.
- 4Department of Biomedical Sciences, Malamulo College of Health Science Campus, Malawi Adventist University, Makwasa P.O. Box 55, Malawi.
- 5Department of Chemical Engineering, Faculty of Engineering, Eduardo Mondlane University, Avenida de Moçambique, Km 1.5, Maputo P.O. Box 257, Mozambique.
- 6Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, The University of Arizona, 1295 N. Martin Ave., Tucson, AZ 85724, USA.
- 7Malawi Liverpool Wellcome Trust, Chichiri, Blantyre P.O. Box 30096, Malawi.
Abstract
Background
Antibiotic resistance is becoming a serious problem in chicken production globally due to the use of antibiotics. In Mzimba, the multiple antibiotic resistance index (MARI) pattern in chicken meat is not known and has not been documented.Objective
To assess the prevalence of antibiotic-resistant Escherichia coli, Salmonella, and Enterobacter species in broiler chicken meat sold in informal markets in Mzimba District, Malawi, using the MAR index.Materials and method
A cross-sectional study was conducted between March and May 2025. A total of 100 meat samples were collected from the informal markets across the district. A stratified sampling technique was used to select chicken meat samples from various markets. Descriptive statistics and inferential statistics were performed using R version 4.5.3.Results
E. coli (69%) and Enterobacter (12%) species were the most frequently isolated pathogens. The highest prevalence of antibiotic resistance was observed in E. coli against ampicillin (91%), meropenem (83%), and tetracycline (71%). Similarly, Enterobacter spp. showed substantial resistance to tetracycline (83%), ampicillin (83%) and meropenem (75%). The MAR index values were considerably high, ranging from 0.1 to 0.75. A total of 97.1%, 91.7% and 100% of the positive isolates of E. coli, Enterobacter and Salmonella spp., respectively, had MAR index values over 0.2. Location was the most significant predictor of the MAR index (p = 6.096 × 10⁻⁵, η² = 0.372).Conclusions and recommendations
High levels of the MAR index were revealed in this study. As such, combating MDR requires coordinated multisectoral approaches through One Health programs that integrate surveillance, policies, and innovation to prevent and control antimicrobial resistance.
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BibTeX
@article{chipembo2026phenotypic,
title = {{Phenotypic Antimicrobial Resistance Patterns in E. coli, Salmonella, and Enterobacter Species Isolated from Broiler Chicken Meat in Mzimba, Malawi: Insights from the Multiple Antibiotic Resistance Index.}},
author = {Abel Compbel Chipembo and Martin Henderson Kalumbi and Aminata Kamara and Naserah Fatmata Koroma and Marie Louise Iragena and Kumbukani Chikosa and Mary Maimu and Goliath Eneya Zulu and Precious Innocent Mastala and Sam Mvula and Thomas Malinki and Rejoice Msiska and Alberto Pondja and Janelisa Musaya and Belisário Moiane and Niura Madalena Bila},
journal = {Antibiotics (Basel, Switzerland)},
year = {2026},
month = oct,
doi = {10.3390/antibiotics15101028},
url = {https://europepmc.org/article/MED/42938769},
note = {CC BY},
}
RIS
TY - JOUR
TI - Phenotypic Antimicrobial Resistance Patterns in E. coli, Salmonella, and Enterobacter Species Isolated from Broiler Chicken Meat in Mzimba, Malawi: Insights from the Multiple Antibiotic Resistance Index.
AU - Abel Compbel Chipembo
AU - Martin Henderson Kalumbi
AU - Aminata Kamara
AU - Naserah Fatmata Koroma
AU - Marie Louise Iragena
AU - Kumbukani Chikosa
AU - Mary Maimu
AU - Goliath Eneya Zulu
AU - Precious Innocent Mastala
AU - Sam Mvula
AU - Thomas Malinki
AU - Rejoice Msiska
AU - Alberto Pondja
AU - Janelisa Musaya
AU - Belisário Moiane
AU - Niura Madalena Bila
PY - 2026
DA - 2026/10/16
JO - Antibiotics (Basel, Switzerland)
DO - 10.3390/antibiotics15101028
UR - https://europepmc.org/article/MED/42938769
AB - Background Antibiotic resistance is becoming a serious problem in chicken production globally due to the use of antibiotics. In Mzimba, the multiple antibiotic resistance index (MARI) pattern in chicken meat is not known and has not been documented.Objective To assess the prevalence of antibiotic-resistant Escherichia coli, Salmonella, and Enterobacter species in broiler chicken meat sold in informal markets in Mzimba District, Malawi, using the MAR index.Materials and method A cross-sectional study was conducted between March and May 2025. A total of 100 meat samples were collected from the informal markets across the district. A stratified sampling technique was used to select chicken meat samples from various markets. Descriptive statistics and inferential statistics were performed using R version 4.5.3.Results E. coli (69%) and Enterobacter (12%) species were the most frequently isolated pathogens. The highest prevalence of antibiotic resistance was observed in E. coli against ampicillin (91%), meropenem (83%), and tetracycline (71%). Similarly, Enterobacter spp. showed substantial resistance to tetracycline (83%), ampicillin (83%) and meropenem (75%). The MAR index values were considerably high, ranging from 0.1 to 0.75. A total of 97.1%, 91.7% and 100% of the positive isolates of E. coli, Enterobacter and Salmonella spp., respectively, had MAR index values over 0.2. Location was the most significant predictor of the MAR index (p = 6.096 × 10⁻⁵, η² = 0.372).Conclusions and recommendations High levels of the MAR index were revealed in this study. As such, combating MDR requires coordinated multisectoral approaches through One Health programs that integrate surveillance, policies, and innovation to prevent and control antimicrobial resistance.
SN - 2079-6382
ER -