As Māori and tāngata whaikaha (Māori with lived experience of disability) of the nation-state known as New Zealand, we are deeply concerned about the impacts of the COVID-19 pandemic. In this commentary, we invoke intersectionality as an analytical tool for understanding critical issues tāngata whaikaha face in the context of the universal approach encompassing New Zealand’s pandemic response. We propose a “call to action” framework comprising four elements: (1) guaranteeing self-determination for tāngata whaikaha; (2) addressing all forms of racism, ableism, and other structural forms of oppression; (3) rectifying historical injustices; and (4) allocating resources for the pandemic and beyond in alignment with need.

We describe the sampling of sixty-three uncultured hospital air samples collected over a six-month period and analysis using shotgun metagenomic sequencing. Our primary goals were to determine the longitudinal metagenomic variability of this environment, identify and characterize genomes of potential pathogens and determine whether they are atypical to the hospital airborne metagenome. Air samples were collected from eight locations which included patient wards, the main lobby and outside. The resulting DNA libraries produced 972 million sequences representing 51 gigabases. Hierarchical clustering of samples by the most abundant 50 microbial orders generated three major nodes which primarily clustered by type of location. Because the indoor locations were longitudinally consistent, episodic relative increases in microbial genomic signatures related to the opportunistic pathogens Aspergillus, Penicillium and Stenotrophomonas were identified as outliers at specific locations. Further analysis of microbial reads specific for Stenotrophomonas maltophilia indicated homology to a sequenced multi-drug resistant clinical strain and we observed broad sequence coverage of resistance genes. We demonstrate that a shotgun metagenomic sequencing approach can be used to characterize the resistance determinants of pathogen genomes that are uncharacteristic for an otherwise consistent hospital air microbial metagenomic profile.

[This corrects the article DOI: 10.1371/journal.pone.0160124.].