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1.
J Law Med ; 30(1): 179-190, 2023 May.
Artículo en Inglés | MEDLINE | ID: covidwho-20233836

RESUMEN

Technologically enhanced surveillance systems have been proposed for the task of monitoring and responding to antimicrobial resistance (AMR) in both human, animal and environmental contexts. The use of these systems is in their infancy, although the advent of COVID-19 has progressed similar technologies in response to that pandemic. We conducted qualitative research to identify the Australian public's key concerns about the ethical, legal and social implications of an artificial intelligence (AI) and machine learning-enhanced One Health AMR surveillance system. Our study provides preliminary evidence of public support for AI/machine learning-enhanced One Health monitoring systems for AMR, provided that three main conditions are met: personal health care data must be deidentified; data use and access must be tightly regulated under strong governance; and the system must generate high-quality, reliable analyses to guide trusted health care decision-makers.


Asunto(s)
Inteligencia Artificial , COVID-19 , Animales , Humanos , COVID-19/epidemiología , Antibacterianos/farmacología , Australia , Farmacorresistencia Bacteriana
2.
J Environ Manage ; 320: 115819, 2022 Oct 15.
Artículo en Inglés | MEDLINE | ID: covidwho-1956207

RESUMEN

Wastewater monitoring as a public health tool is well-established and the SARS-CoV-2 (COVID-19) pandemic has seen its widespread uptake. Given the significant potential of wastewater monitoring as a public health surveillance and decision support tool, it is important to understand what measures are required to allow the long-term benefits of wastewater monitoring to be fully realized, including how to establish and/or maintain public support. The potential for positive SARS-CoV-2 detections to trigger enforced, community-wide public health interventions (e.g., lockdowns and other impacts on civil liberties) further emphasises the need to better understand the role of public engagement in successful wastewater-based monitoring programs. This paper systematically reviews the processes of building and maintaining the social license to operate wastewater monitoring. We specifically explore the relationship between different stakeholder communities and highlight the information and actions that are required to establish a social license to operate and then prevent its loss. The paper adds to the literature on social license to operate by extending its application to new domains and offers a dynamic model of social license to help guide the agenda for researcher and practitioner communities.


Asunto(s)
COVID-19 , Enfermedades Transmisibles , COVID-19/prevención & control , Control de Enfermedades Transmisibles , Humanos , Pandemias/prevención & control , SARS-CoV-2 , Aguas Residuales
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