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© 2020 by the authors. Digital or intelligent water meters are being rolled out globally as a crucial component in improving urban water management. This is because of their ability to frequently send water consumption information electronically and later utilise the information to generate insights or provide feedback to consumers. Recent advances in machine learning (ML) and data analytic (DA) technologies have provided the opportunity to more effectively utilise the vast amount of data generated by these meters. Several studies have been conducted to promote water conservation by analysing the data generated by digital meters and providing feedback to consumers and water utilities. The purpose of this review was to inform scholars and practitioners about the contributions and limitations of ML and DA techniques by critically analysing the relevant literature. We categorised studies into five main themes: (1) water demand forecasting; (2) socioeconomic analysis; (3) behaviour analysis; (4) water event categorisation; and (5) water-use feedback. The review identified significant research gaps in terms of the adoption of advancedMLandDAtechniques, which could potentially lead to water savings and more efficient demand management. We concluded that further investigations are required into highly personalised feedback systems, such as recommender systems, to promote water-conscious behaviour. In addition, advanced data management solutions, effective user profiles, and the clustering of consumers based on their profiles require more attention to promote water-conscious behaviours.

Objective To elicit the views of well-informed community members on the acceptability of proposed policy interventions designed to improve community use of antibiotics in Australia. Design Two community juries held in 2016. Setting and participants Western Sydney and Dubbo communities in NSW, Australia. Twenty-nine participants of diverse social and cultural backgrounds, mixed genders and ages recruited via public advertising: one jury was drawn from a large metropolitan setting; the other from a regional/rural setting. Main outcome measure Jury verdict and rationale in response to a prioritization task and structured questions. Results Both juries concluded that potential policy interventions to curb antibiotic misuse in the community should be directed towards: (i) ensuring that the public and prescribers were better educated about the dangers of antibiotic resistance; (ii) making community-based human and animal health-care practitioners accountable for their prescribing decisions. Patient-centred approaches such as delayed prescribing were seen as less acceptable than prescriber-centred approaches; both juries completely rejected any proposal to decrease consumer demand by increasing antibiotic prices. Conclusion These informed citizens acknowledged the importance of raising public awareness of the risks, impacts and costs of antibiotic resistance and placed a high priority on increasing social and professional accountability through restrictive measures. Their overarching aim was that policy interventions should be directed towards creating collective actions and broad social support for changing antibiotic use through establishing and explaining the need for mechanisms to control and support better prescribing by practitioners, while not transferring the burdens, costs and risks of interventions to consumers. This work was supported by a seed grant from the Marie Bashir Institute for Infectious Disease and Biosecurity and NHMRC CRE 1102962. CD, JJ and GLG received funding support from a NHMRC Project grant (#1083079). SMC is funded through NHMRC Career Development Fellowship (#1032963).

BACKGROUND: The FDA recommended new travel deferrals in May 2002 to prevent the potential transmission of variant CJD (vCJD). The predicted impact of such deferrals on the blood supply was controversial. STUDY DESIGN AND METHODS: We distributed anonymous, self-administered questionnaires to donors over 2 weeks in April 2002. Two thousand surveys were allocated to each of five geographic groupings of blood centers in the western and central US. Results were analyzed with chi-squared tests and logistic regression. RESULTS: Of 9800 surveys, 7405 (76%) were returned and analyzed. Overall, 257 (3.47%; 95% CI, 3.05-3.89) donors responding to the survey met the expanded May and November 2002 FDA vCJD travel criteria for deferral. Deferral rates ranged from 1 percent or less in Northern and Southern centers, 3 to 4 percent in San Francisco, California, and Scottsdale, Arizona, to over 13 percent in El Paso, Texas (p < 0.0001). Service at a European military base was the most common reason for deferral, whereas in San Francisco most deferrals were for UK and European travel or residence. The vCJD deferral was also associated with ages 30 through 49 years and with male gender. During June through September 2002, observed deferral rates were 1.6 percent at the same centers. CONCLUSIONS: Predicted deferrals due the new vCJD travel criteria depend upon the number of military donors at a blood center, as well as on the age and gender of donors. Actual deferrals were lower than predicted by an anonymous survey.