Reuse of medical face masks in domestic and community settings without sacrificing safety: Ecological and economical lessons from the Covid-19 pandemic

The need for personal protective equipment increased exponentially in response to the Covid-19 pandemic. To cope with the mask shortage during springtime 2020, a French consortium was created to find ways to reuse medical and respiratory masks in healthcare departments. The consortium addressed the complex context of the balance between cleaning medical masks in a way that maintains their safety and functionality for reuse, with the environmental advantage to manage medical disposable waste despite the current mask designation as single-use by the regulatory frameworks. We report a Workflow that provides a quantitative basis to determine the safety and efficacy of a medical mask that is decontaminated for reuse. The type IIR polypropylene medical masks can be washed up to 10 times, washed 5 times and autoclaved 5 times, or washed then sterilized with radiations or ethylene oxide, without any degradation of their filtration or breathability properties. There is loss of the antiprojection properties. The Workflow rendered the medical masks to comply to the AFNOR S76-001 standard as “type 1 non-sanitory usage masks”. This qualification gives a legal status to the Workflow-treated masks and allows recommendation for the reuse of washed medical masks by the general population, with the significant public health advantage of providing better protection than cloth-tissue masks. Additionally, such a legal status provides a basis to perform a clinical trial to test the masks in real conditions, with full compliance with EN 14683 norm, for collective reuse. The rational reuse of medical mask and their end-of-life management is critical, particularly in pandemic periods when decisive turns can be taken. The reuse of masks in the general population, in industries, or in hospitals (but not for surgery) has significant advantages for the management of waste without degrading the safety of individuals wearing reused masks

DQM4hep

Data quality monitoring is the first step in the certification of data recorded for offline physics analyses. Many experiments have developed their own dedicated monitoring system in the past. Most of them rely on their own event data model, which leads to a strong dependency on the data format and storage. We present here a generic data quality monitoring system, DQM4hep, that has been developed without any assumptions on the underlying event data model. This reduces the code maintenance and increases the portability and reusability across other experiments. We first introduce the framework architecture and the various core components as well as tools provided by the software package. We then give an overview of the different experiments using DQM4hep and the foreseen integration in future other experiments. We finally present the ongoing and future software development for DQM4Hhep and long-term prospects

The DQM4hep project - CHEP 2018 conference

Data quality monitoring is the first step to the certification of the recorded data for off-line physics analysis. Dedicated monitoring framework have been developed by many experiments in the past and usually rely on the event data model (EDM) of the experiment, leading to a strong dependency on the data format and storage. We present here a generic data quality monitoring system, DQM4HEP, that has been developed without any assumption on the EDM. This increases the code maintenance, the portability across different experiments and re-usability for future experiment.We present the framework architecture and the various tools provided by the software package as well as various performances such as memory usage, stability and network bandwidth. We give an overview of the different experiments using DQM4HEP and the foreseen integration in future other experiments. We finally present the ongoing and future software development for DQM4HEP and long term prospects

DQM4hep - A generic data quality monitoring framework for HEP

Data quality monitoring is the first step in the certification of data recorded for offline physics analyses. Many experiments have developed their own dedicated monitoring system in the past. Most of them rely on their own event data model, which leads to a strong dependency on the data format and storage. We present here a generic data quality monitoring system, DQM4hep, that has been developed without any assumptions on the underlying event data model. This reduces the code maintenance and increases the portability and reusability across other experiments. We first introduce the framework architecture and the various core components as well as tools provided by the software package. We then give an overview of the different experiments using DQM4hep and the foreseen integration in future other experiments. We finally present the ongoing and future software development for DQM4Hhep and long-term prospects

DQM4HEP - A data quality monitoring framework

Data quality monitoring is the first step to the certification of the recorded data for off-line physics analysis. Dedicated monitoring framework have been developed by many experiments in the last decades and usually rely on the event data model (EDM) of the experiment, leading to a strong dependency on the data format and storage. We present a generic data quality monitoring system, DQM4HEP, that has been developed without any assumption on the EDM. This increases the code maintenance, the portability across different experiments and re-usability for future experiment.After introducing the framework architecture and the various tools provided by the software package, its use in different testbeam situations for various detectors, such as the SDHCal, SiWECal, AHCal calorimeters of the CALICE collaboration, is presented. The ongoing developments on data quality assessment in off-line mode and future integrations for different projects are finally discussed

The Introduction of SteriDefiTM: a Serious Game for Continuous Training of Sterilization Staff in French Hospitals

Sterilization is a pharmaceutical discipline constantly evolving and requiring highly qualified staff. In response to the need highlighted by French sterilization heads, the French Society for Sterilization Science (SF2S) has developed a serious game called “SteriDefiTM”. To design the game, a literature review was carried out in order to determine the essential points to be included in its specifications. The second step was to launch the IT (Information Technology) development. In parallel, a database was drafted by a panel of 8 experts in the field of sterilization. At last, the version initially produced was tested over a two-month period. The accessibility, its settings and gameplay were evaluated and improved. Data have been collected to determine the number of user establishments and games played since it was on line. In addition, a multi-centre study is planned to measure the evolution of knowledge and the satisfaction of players with the game

Psychomotor and language outcomes as observed by midwives at age 1 year, according to social withdrawal.

<p>The EDEN Mother-Child Cohort.</p