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Early case detection is critical to preventing onward transmission of COVID-19 by enabling prompt isolation of index infections, and identification and quarantining of contacts. Timeliness and completeness of ascertainment depend on the surveillance strategy employed. This paper presents modelling used to inform workplace testing strategies for the Australian government in early 2021. We use rapid prototype modelling to quickly investigate the effectiveness of testing strategies to aid decision making. Models are developed with a focus on providing relevant results to policy makers, and these models are continually updated and improved as new questions are posed. Developed to support the implementation of testing strategies in high risk workplace settings in Australia, our modelling explores the effects of test frequency and sensitivity on outbreak detection. We start with an exponential growth model, which demonstrates how outbreak detection changes depending on growth rate, test frequency and sensitivity. From the exponential model, we learn that low sensitivity tests can produce high probabilities of detection when testing occurs frequently. We then develop a more complex Agent Based Model, which was used to test the robustness of the results from the exponential model, and extend it to include intermittent workplace scheduling. These models help our fundamental understanding of disease detectability through routine surveillance in workplaces and evaluate the impact of testing strategies and workplace characteristics on the effectiveness of surveillance. This analysis highlights the risks of particular work patterns while also identifying key testing strategies to best improve outbreak detection in high risk workplaces. [ABSTRACT FROM AUTHOR]

Objective: Despite the usefulness of quantitative research, qualitative research methodologies are equally needed to allow researchers to better understand the important social and environmental factors affecting food choice and eating habits. The present paper contributes insights from narrative inquiry, a well-established qualitative methodology, to a food-related doctoral research study. The connections between food shoppers and the producer, family, friends and others in the food system, between eaters and the earth, and how these connections affect people's meaning-making of food and pathways to food citizenship, were explored in the research.Design: The research used narrative inquiry methodology and focus groups for data collection.Setting: Five different food-ways in the Canberra region of Australia were selected for the present research; that is, community gardens, community-supported agriculture, farmers' markets, fresh food markets and supermarkets.Subjects: Fifty-two people voluntarily attended eight focus groups with four to nine participants in each.Results: From a practical perspective, the present paper offers a guide to the way in which narrative inquiry has been applied to one research project. The paper describes the application of narrative inquiry methodology, revealing the important place of narratives in generating new knowledge. The paper further outlines how phased narrative analysis can lead to a defensible and rigorous interpretive framework grounded in the data generated from people's stories and meaning-making.Conclusions: We argue that individual, social and system change will not be possible without further rigorous qualitative studies to inform and complement the empirical basis of public health nutrition practice. [ABSTRACT FROM AUTHOR]