Browsing by Author "Ross M"

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    Introducing 'Ngaruroro', a New Model for Understanding Māori Wellbeing.
    (MDPI AG, 2024-04-05) Johnson FN; Wehi P; Neha T; Ross M; Thompson V; Tibble S; Tassell-Matamua N; Shedlock K; Fox R; Penman Z; Ritchie T; Winter T; Arahanga-Doyle H; Jose PE; Wright M
    Indigenous peoples around the world are revitalising their ancestral beliefs, practices, and languages, including traditional understandings of health and wellbeing. In the Aotearoa (New Zealand) context, a number of ground-breaking Māori health- and wellbeing-related models have emerged, each with their own scope and applications. We sought in our qualitative studies to explore and identify several key sources of wellbeing for Māori individuals. Nine interviews were conducted with members of Māori communities to identify key themes of Māori wellbeing. We performed a Reflexive Thematic Analysis on these data and then conducted a further fifteen interviews to revise, refine, and reposition the previously generated themes. The Ngaruroro model describes wellbeing as the embodied and active process of being well in relation with one's (1) here tāngata (social and familial ties), (2) te taiao (the environment), and (3) taonga tuku iho (cultural treasures) while doing what one can to make lifestyle choices that are conducive to the health of one's (4) tinana (body) and (5) wairua (spirit) while cultivating a balanced (6) ngākau (inner-system), fulfilling (7) matea (core needs) and exercising your (8) mana (authority). These themes illustrate that Māori wellbeing is dynamic, interconnected, and holistic.
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    Monomorphic genotypes within a generalist lineage of Campylobacter jejuni show signs of global dispersion
    (Microbiology Society, 1/10/2016) Llarena AK; Zhang J; Vehkala M; Välimäki N; Hakkinen M; Hänninen M; Roasto M; Mäesaar M; Taboada E; Barker D; Garofolo G; Cammà C; Di Giannatale E; Corander J; Ross M
    The decreased costs of genome sequencing have increased the capability to apply whole-genome sequencing to epidemiological surveillance of zoonotic Campylobacter jejuni. However, knowledge of the genetic diversity of this bacteria is vital for inferring relatedness between epidemiologically linked isolates and a necessary prerequisite for correct application of this methodology. To address this issue in C. jejuni we investigated the spatial and temporal signals in the genomes of a major clonal complex and generalist lineage, ST-45 CC, by analysing the population structure and genealogy as well as applying genome-wide association analysis of 340 isolates from across Europe collected over a wide time range. The occurrence and strength of the geographical signal varied between sublineages and followed the clonal frame when present, while no evidence of a temporal signal was found. Certain sublineages of ST-45 formed discrete and genetically isolated clades containing isolates with extremely similar genomes regardless of time and location of sampling. Based on a separate data set, these monomorphic genotypes represent successful C. jejuni clones, possibly spread around the globe by rapid animal (migrating birds), food or human movement. In addition, we observed an incongruence between the genealogy of the strains and multilocus sequence typing (MLST), challenging the existing clonal complex definition and the use of whole-genome gene-by-gene hierarchical nomenclature schemes for C. jejuni.