Search results

The trajectories of people attempting to reduce harmful methamphetamine use are frequently understood within a binary framework of transitioning between states of health and disease. This framework can often be reinforced by service interactions informed by these dominant narratives of recovery and addiction. In this paper, we draw on a critical interactionist analysis of ethnographic fieldwork conducted with people who use methamphetamine, to examine how their experiences could undermine this binary, observing the ways participants experienced growth, change, and progress, without necessarily maintaining abstinence. These findings support a more diverse understanding of drug use trajectories, and we explore the concept of 'living with drug use', similar to how people live with other chronic conditions by finding 'health in illness'. Participant experiences are also interpreted within the context of counter public health, arguing for the recognition and integration of values and goals which are divergent from the implicit aims of public health practice.

AbstractCampylobacter jejuni and Campylobacter coli infections are the leading cause of foodborne gastroenteritis in high‐income countries. Campylobacter colonizes a variety of warm‐blooded hosts that are reservoirs for human campylobacteriosis. The proportions of Australian cases attributable to different animal reservoirs are unknown but can be estimated by comparing the frequency of different sequence types in cases and reservoirs. Campylobacter isolates were obtained from notified human cases and raw meat and offal from the major livestock in Australia between 2017 and 2019. Isolates were typed using multi‐locus sequence genotyping. We used Bayesian source attribution models including the asymmetric island model, the modified Hald model, and their generalizations. Some models included an "unsampled" source to estimate the proportion of cases attributable to wild, feral, or domestic animal reservoirs not sampled in our study. Model fits were compared using the Watanabe–Akaike information criterion. We included 612 food and 710 human case isolates. The best fitting models attributed >80% of Campylobacter cases to chickens, with a greater proportion of C. coli (>84%) than C. jejuni (>77%). The best fitting model that included an unsampled source attributed 14% (95% credible interval [CrI]: 0.3%–32%) to the unsampled source and only 2% to ruminants (95% CrI: 0.3%–12%) and 2% to pigs (95% CrI: 0.2%–11%) The best fitting model that did not include an unsampled source attributed 12% to ruminants (95% CrI: 1.3%–33%) and 6% to pigs (95% CrI: 1.1%–19%). Chickens were the leading source of human Campylobacter infections in Australia in 2017–2019 and should remain the focus of interventions to reduce burden.