TY - JOUR
T1 - An Environmental Science and Engineering Framework for Combating Antimicrobial Resistance
AU - Pruden, Amy
AU - Alcalde, Reinaldo E.
AU - Alvarez, Pedro J.J.
AU - Ashbolt, Nicholas
AU - Bischel, Heather
AU - Capiro, Natalie L.
AU - Crossette, Emily
AU - Frigon, Dominic
AU - Grimes, Kassandra
AU - Haas, Charles N.
AU - Ikuma, Kaoru
AU - Kappell, Anthony
AU - LaPara, Timothy
AU - Kimbell, Lee
AU - Li, Mengyan
AU - Li, Xu
AU - McNamara, Patrick
AU - Seo, Youngwoo
AU - Sobsey, Mark D.
AU - Sozzi, Emanuele
AU - Navab-Daneshmand, Tala
AU - Raskin, Lutgarde
AU - Riquelme, Maria Virginia
AU - Vikesland, Peter
AU - Wigginton, Krista
AU - Zhou, Zhi
N1 - Publisher Copyright:
Copyright © 2018, Mary Ann Liebert, Inc.
PY - 2018/10
Y1 - 2018/10
N2 - On June 20, 2017, members of the environmental engineering and science (EES) community convened at the Association of Environmental Engineering and Science Professors (AEESP) Biennial Conference for a workshop on antimicrobial resistance. With over 80 registered participants, discussion groups focused on the following topics: risk assessment, monitoring, wastewater treatment, agricultural systems, and synergies. In this study, we summarize the consensus among the workshop participants regarding the role of the EES community in understanding and mitigating the spread of antibiotic resistance via environmental pathways. Environmental scientists and engineers offer a unique and interdisciplinary perspective and expertise needed for engaging with other disciplines such as medicine, agriculture, and public health to effectively address important knowledge gaps with respect to the linkages between human activities, impacts to the environment, and human health risks. Recommendations that propose priorities for research within the EES community, as well as areas where interdisciplinary perspectives are needed, are highlighted. In particular, risk modeling and assessment, monitoring, and mass balance modeling can aid in the identification of "hot spots" for antibiotic resistance evolution and dissemination, and can help identify effective targets for mitigation. Such information will be essential for the development of an informed and effective policy aimed at preserving and protecting the efficacy of antibiotics for future generations.
AB - On June 20, 2017, members of the environmental engineering and science (EES) community convened at the Association of Environmental Engineering and Science Professors (AEESP) Biennial Conference for a workshop on antimicrobial resistance. With over 80 registered participants, discussion groups focused on the following topics: risk assessment, monitoring, wastewater treatment, agricultural systems, and synergies. In this study, we summarize the consensus among the workshop participants regarding the role of the EES community in understanding and mitigating the spread of antibiotic resistance via environmental pathways. Environmental scientists and engineers offer a unique and interdisciplinary perspective and expertise needed for engaging with other disciplines such as medicine, agriculture, and public health to effectively address important knowledge gaps with respect to the linkages between human activities, impacts to the environment, and human health risks. Recommendations that propose priorities for research within the EES community, as well as areas where interdisciplinary perspectives are needed, are highlighted. In particular, risk modeling and assessment, monitoring, and mass balance modeling can aid in the identification of "hot spots" for antibiotic resistance evolution and dissemination, and can help identify effective targets for mitigation. Such information will be essential for the development of an informed and effective policy aimed at preserving and protecting the efficacy of antibiotics for future generations.
KW - biological systems
KW - environmental microbiology
KW - molecular biology
KW - monitoring methods
KW - risk
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U2 - 10.1089/ees.2017.0520
DO - 10.1089/ees.2017.0520
M3 - Article
AN - SCOPUS:85052649868
SN - 1092-8758
VL - 35
SP - 1005
EP - 1011
JO - Environmental Engineering Science
JF - Environmental Engineering Science
IS - 10
ER -