A quantitative evaluation of three hand drying methods and the potential for dissemination of virus particles into the environment

The importance of hand hygiene in reducing the spread of pathogens has been long established and this has been highlighted recently in initiatives such as the NHS’s ‘clean your hands’ campaign. However, much of the focus on hand hygiene has concerned effective hand washing; there has been less emphasis on hand drying and its role in hygienic practices. This study aimed to compare three hand drying methods namely paper towels, a warm air dryer and a jet air dryer for their relative ability to disseminate virus particles into the washroom environment during hand drying. A bacteriophage model was used to compare these methods; hands were artificially contaminated with MS2 phage and dried using each device. Both air sampling and contact plates were assessed and a plaque assay was used to quantify virus dissemination. Samples were collected at set times, heights, angles and distances around each device. Both air sampling and contact plate results indicated that the jet air dryer produced significantly more virus dispersal than either paper towels or the warm air dryer in terms of quantity, distance travelled and the time spent circulating in the air around the device and potentially in the washroom environment.

Enabling Scientific Workflow Sharing through Coarse-Grained Interoperability

E-scientists want to run their scientific experiments on Distributed Computing Infrastructures (DCI) to be able to access large pools of resources and services. To run experiments on these infrastructures requires specific expertise that e-scientists may not have. Workflows can hide resources and services as a virtualization layer providing a user interface that e-scientists can use. There are many workflow systems used by research communities but they are not interoperable. To learn a workflow system and create workflows in this workflow system may require significant efforts from e-scientists. Considering these efforts it is not reasonable to expect that research communities will learn new workflow systems if they want to run workflows developed in other workflow systems. The solution is to create workflow interoperability solutions to allow workflow sharing. The FP7 Sharing Interoperable Workflow for Large-Scale Scientific Simulation on Available DCIs (SHIWA) project developed two interoperability solutions to support workflow sharing: Coarse-Grained Interoperability (CGI) and Fine-Grained Interoperability (FGI). The project created the SHIWA Simulation Platform (SSP) to implement the Coarse-Grained Interoperability approach as a production-level service for research communities. The paper describes the CGI approach and how it enables sharing and combining existing workflows into complex applications and run them on Distributed Computing Infrastructures. The paper also outlines the architecture, components and usage scenarios of the simulation platform.