Computational Model To Quantify the Growth of Antibiotic-Resistant Bacteria in Wastewater-Reference-Cited by-同舟云学术

Computational Model To Quantify the Growth of Antibiotic-Resistant Bacteria in Wastewater

Published:2021-06-29 Issue:3 Volume:6 Page:
ISSN:2379-5077
Container-title:mSystems
language:en
Short-container-title:mSystems

Author:

Sutradhar Indorica¹^ORCID,Ching Carly¹,Desai Darash¹,Suprenant Mark¹,Briars Emma²³,Heins Zachary¹³,Khalil Ahmad S.¹³⁴,Zaman Muhammad H.¹⁵^ORCID

Affiliation:

1. Department of Biomedical Engineering, Boston University, Boston, Massachusetts, USA

2. Department of Bioinformatics, Boston University, Boston, Massachusetts, USA

3. Biological Design Center, Boston University, Boston, Massachusetts, USA

4. Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA

5. Howard Hughes Medical Institute, Boston University, Boston, Massachusetts, USA

Abstract

The rate at which antimicrobial resistance (AMR) has developed and spread throughout the world has increased in recent years, and according to the Review on Antimicrobial Resistance in 2014, it is suggested that the current rate will lead to AMR-related deaths of several million people by 2050 (Review on Antimicrobial Resistance, Tackling a Crisis for the Health and Wealth of Nations , 2014). One major reservoir of resistant bacterial populations that has been linked to outbreaks of drug-resistant bacterial infections but is not well understood is in wastewater settings, where antibiotic pollution is often present.

Funder

HHS | National Institutes of Health

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Link

https://journals.asm.org/doi/pdf/10.1128/mSystems.00360-21

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4. Antibiotic Pollution in the Environment: A Review

5. Occurrence and fate of emerging contaminants in municipal wastewater treatment plants from different geographical regions-a review

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