The lack of adequate accessible apparel for PWD exacerbated barriers to community participation and disablement, and identified the need for innovation in design, production, distribution and sale, of adaptive clothing. Implications for Rehabilitation The lack of adaptive or appropriate clothing or apparel for people living with disabilities can become a barrier, preventing engagement in meaningful activities, yet these barriers are not often explicitly identified. Cultural issues regarding clothing and the process of dressing may become unspoken barriers to engagement in meaningful activities, impacting the way care services are assigned. Rehabilitation professionals may need to take clothing and apparel-related issues faced by their clients into account, so that opportunities for social participation can be maximised.

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Computer models have proven to be useful tools in studying epidemic disease in human populations. Such models are being used by a broader base of researchers, and it has become more important to ensure that descriptions of model construction and data analyses are clear and communicate important features of model structure. Papers describing computer models of infectious disease often lack a clear description of how the data are aggregated and whether or not non-epidemic runs are excluded from analyses. Given that there is no concrete quantitative definition of what constitutes an epidemic within the public health literature, each modeler must decide on a strategy for identifying epidemics during simulation runs. Here, an SEIR model was used to test the effects of how varying the cutoff for considering a run an epidemic changes potential interpretations of simulation outcomes. Varying the cutoff from 0% to 15% of the model population ever infected with the illness generated significant differences in numbers of dead and timing variables. These results are important for those who use models to form public health policy, in which questions of timing or implementation of interventions might be answered using findings from computer simulation models.

In the absence of vaccines to fight the COVID-19 pandemic, in 2020 governments had to respond by rely on non-pharmaceutical interventions (NPIs). Socioeconomic inequalities likely influenced the uptake of NPIs. Using Norwegian survey data, we study whether income was associated with increased handwashing, keeping 1 m distance, using facemasks increased use of home office, and less use of public transportation. Except for using facemasks and less public transportation in a non-work context, all analyzed NPIs showed an independent positive association with income. Social disparities in NPI uptake may be important drivers of higher risks of disease outcomes for people of lower socioeconomic status.