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Objectives: Indigenous public health theory and the voices of Canadian Indigenous communities remain under-represented in the literature despite the Canadian Truth and Reconciliation Calls to Action, and the perspectives of Inuit are further under-represented in this literature. The goal of this paper is to explore the perspectives of Iqalungmiut (people of Iqaluit), frontline staff, and decision-makers on the management of the COVID-19 outbreak in Iqaluit in April to June 2021 and to identify lessons learned and contributions to public health policy and practice specific to Inuit populations in Canada., Methods: This study used the Piliriqatigiinniq Community Health Research Model which was developed by Nunavummiut to guide community-based health and well-being research. Interviews were conducted with 44 individuals: 22 community members and shelter users; 17 frontline workers; and 5 decision-makers representing municipal and territorial government. Participants were asked about their experiences during the outbreak, sources of information, and strengths and challenges during outbreak management., Results: Challenges included overcrowding, physical disconnection from family members, and mental health and trauma. Community-identified strengths included strong interagency cooperation, food hamper and COVID-19 care kit deliveries, and travel restrictions. Several Inuit positive health-protective pathways were identified including Ilaginniq; Silativut; Inuuqatigiittiarniq; Piliriqatigiinniq; Ikajurniq; and Pijitsirniq., Conclusion: Outbreaks of infectious illness are not new to Nunavut communities and Inuit protective pathways have and continue to be critical avenues to adapt to and mitigate such challenges. This exploratory study provides clear direction for Inuit public health policy and practice in Canada, while contributing to the body of literature on Indigenous public health theory., (© 2024. The Author(s).)

This paper aims to introduce a novel family of probability distributions by the well-known method of the T–X family of distributions. The proposed family is called a "Novel Generalized Exponent Power X Family" of distributions. A three-parameters special sub-model of the proposed method is derived and named a "Novel Generalized Exponent Power Weibull" distribution (NGEP-Wei for short). For the proposed family, some statistical properties are derived including the hazard rate function, moments, moment generating function, order statistics, residual life, and reverse residual life. The well-known method of estimation, the maximum likelihood estimation method is used for estimating the model parameters. Besides, a comprehensive Monte Carlo simulation study is conducted to assess the efficacy of this estimation method. Finally, the model selection criterion such as Akaike information criterion (AINC), the correct information criterion (CINC), the Bayesian information criterion (BINC), the Hannan–Quinn information criterion (HQINC), the Cramer–von-Misses (CRMI), and the ANDA (Anderson–Darling) are used for comparison purpose. The comparison of the NGEP-Wei with other rival distributions is made by Two COVID-19 data sets. In terms of performance, we show that the proposed method outperforms the other competing methods included in this study. [ABSTRACT FROM AUTHOR]