Genomic Surveillance and Epidemiological Modeling of Antimicrobial Resistance (AMR) in Urban Hospital Effluents

Authors

  • Muhammad Arshad Javed Medical Laboratory Technologist, Department of Laboratory Medicine Purelab, Saqr Hospital United Arab Emirates Author
  • Muhammad Saeed Medical Laboratory Technologist, Department of Laboratory Medicine Purelab, Fujairah Hospital United Arab Emirates Author
  • Imran Zeb Medical laboratory Technologist, Department of Laboratory Medicine Purelab, Fujairah Hospital United Arab Emirates Author
  • Dr. Afsheen Aqeel Department Of Microbiology, University Of Karachi Author
  • Lawang Gurganari Provisional Institute Of Teacher Education Author
  • Sajida Parveen LMO Shakh Zaid Hospital Quetta Author

DOI:

https://doi.org/10.66021/pakmcr856

Keywords:

Antimicrobial Resistance, Hospital Wastewater, Genomic Surveillance, Whole-Genome Sequencing, Metagenomics, Epidemiological Modeling, Multi-Drug-Resistant Pathogens, Mobile Genetic Elements, One Health, Wastewater-Based Epidemiology, Carbapenem Resistance, Plasmid-Mediated Resistance

Abstract

Antimicrobial resistance (AMR) constitutes one of the most pressing global health crises, with hospital wastewater (HWW) serving as a critical environmental hotspot for the emergence, selection, and dissemination of multi-drug resistant (MDR) pathogens. This review synthesizes recent advances in genomic surveillance and epidemiological modeling of AMR in urban hospital effluents, focusing on high-income and low- and middle-income settings. Whole-genome sequencing (WGS) and metagenomic approaches reveal high abundances of clinically relevant resistance genes (blaNDM, blaOXA-48, mcr-1, qnrS) and mobile genetic elements (integrons, transposons, plasmids) in effluents, often mirroring patient case rates and mirroring hospital antibiotic usage patterns. Longitudinal sampling combined with phylogenetic analysis demonstrates clonal transmission of MDR Enterobacterales (e.g., carbapenem-resistant Klebsiella pneumoniae, ESBL-producing E. coli) from hospitals to downstream urban waterways and agricultural irrigation systems. Epidemiological models integrating compartmental SIR frameworks, agent-based simulations, and One Health network analysis quantify transmission risks, estimate secondary infection burdens, and evaluate intervention efficacy (advanced wastewater treatment, antibiotic stewardship). Key findings highlight the disproportionate contribution of HWW to regional resistome expansion and underscore the urgent need for routine genomic surveillance, point-of-care diagnostics, and integrated wastewater-based epidemiology to inform national action plans and interrupt AMR dissemination cycles.

 

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Published

2026-04-20

How to Cite

Genomic Surveillance and Epidemiological Modeling of Antimicrobial Resistance (AMR) in Urban Hospital Effluents. (2026). Pakistan Journal of Medical & Cardiological Review, 5(2), 644-654. https://doi.org/10.66021/pakmcr856