Since appliances consume a large fraction of the residential final energy consumption, analysing the impact and trends in penetration and ownership of appliances are targets of interest to researchers, companies and policy makers. However, there is a lack of published data based on the study of appliance penetration or ownership comparing different countries trends and assessing different appliances families. The data is usually found in percentages related to energy use or other factors, or in national directive documents written in local languages. The main aim of this paper is to analyse the trends in appliances penetration and/or ownership in the residential buildings sector providing access to the data of ten countries representing different world areas, and 20 appliances which fell into three distinct appliance categories (white goods, brown goods and small appliances), in a comparable framework. Penetration data is given for

Understanding the development of the trends in the ownership of different appliances in a historic context in various countries of the world can not only provide important insights for understanding the dynamics of adoption of different appliances, but can also help with foresight: how the future may develop for these or other, new appliances on the market. Although available literature in household appliances energy consumption, energy management and energy efficiency has seen some advances, there is a clear lack in the literature on household appliance ownership. In this paper, historic data is gathered and analysed for several groups of appliance types (white appliances, brown appliances and small appliances) for 12 countries representing four continents, when available since 1970 to date. Countries representing different parts of the world were selected to present an overview on household appliances ownership and energy consumption. One of the first conclusions of the study is that there is little or no information in many countries from South America, Africa or South Asia. Refrigerators, freezers and washing machines ownership are an example of most other white goods. Brown goods appeared in the market at very different time, depending on each one (from the 70s to the late 90s) and their ownership growth is much higher than for the previous ones. Most of small line appliances ownership has not reached saturation yet.

Throughout the SARS‐CoV‐2 pandemic, limited diagnostic capacities prevented sentinel testing, demonstrating the need for novel testing infrastructures. Here, we describe the setup of a cost‐effective platform that can be employed in a high‐throughput manner, which allows surveillance testing as an acute pandemic control and preparedness tool, exemplified by SARS‐CoV‐2 diagnostics in an academic environment. The strategy involves self‐sampling based on gargling saline, pseudonymized sample handling, automated RNA extraction, and viral RNA detection using a semiquantitative multiplexed colorimetric reverse transcription loop‐mediated isothermal amplification (RT‐LAMP) assay with an analytical sensitivity comparable with RT‐qPCR. We provide standard operating procedures and an integrated software solution for all workflows, including sample logistics, analysis by colorimetry or sequencing, and communication of results. We evaluated factors affecting the viral load and the stability of gargling samples as well as the diagnostic sensitivity of the RT‐LAMP assay. In parallel, we estimated the economic costs of setting up and running the test station. We performed > 35,000 tests, with an average turnover time of < 6 h from sample arrival to result announcement. Altogether, our work provides a blueprint for fast, sensitive, scalable, cost‐ and labor‐efficient RT‐LAMP diagnostics, which is independent of potentially limiting clinical diagnostics supply chains.