Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Omicron Subvariant BA.2 in a Single-Source Community Outbreak.

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant BA.2 sublineage has increased rapidly in Europe and Asia since January 2022. Here, we report the epidemiological and genomic analysis of a large single-source BA.2 outbreak in a housing estate. METHODS: We analyzed the epidemiological information on a community outbreak of BA.2 (STY outbreak). We performed whole viral genome sequencing using the Oxford Nanopore MinION device. We calculated the doubling time of the outbreak within a housing estate. RESULTS: The STY outbreak involved a total of 768 individuals as of 5 February 2022, including 432 residents, visitors, or staff (56.3%) from a single housing estate (KC Estate). The outbreak at the KC Estate had a short doubling time of 1.28 days (95% confidence interval: .560-1.935). The outbreak was promptly controlled with the lockdown of 3 buildings within the housing estate. Whole-genome sequencing was performed for 133 patients in the STY outbreak, including 106 residents of the KC Estate. All 133 sequences from the STY outbreak belonged to the BA.2 sublineage, and phylogenetic analysis showed that these sequences cluster together. All individuals in the STY cluster had the unique mutation C12525T. CONCLUSIONS: Our study highlights the exceptionally high transmissibility of the Omicron variant BA.2 sublineage in Hong Kong, where stringent measures are implemented as part of the elimination strategy. Continual genomic surveillance is crucial in monitoring the emergence of epidemiologically important Omicron sublineages.

Demand for a Housing Offer Addressed to Senior Citizens in Poland.

The purpose of this study is to identify the willingness of pensioners to move from an apartment/house to an apartment/house located in a housing estate specifically designed for senior citizens. As such, this article forms part of the discussion of the housing needs of senior citizens, their preferences and willingness to change their place of residence. The research covers a group of post-working-age people residing in the region of Lower Silesia in south-western Poland. Various research methods were used in the study, including a written questionnaire and its statistical analysis. The research focuses on analysing both the preferences of potential buyers of apartments for seniors and seniors' willingness to change their place of residence in order to purchase an apartment adapted to their mobility needs (free from architectural and technical barriers), taking into account the respondent's age and housing situation. The research indicates that city residents are significantly more often willing to change their current place of residence for one adapted to the needs of persons with disabilities than residents of rural areas. In turn, those living with their husband or wife are significantly more likely to state that special offers for seniors do not need to be developed than those living alone or with other family members or in a social care home. No relationship was found between the age of a respondent and the desire to move to a new house. However, younger seniors are more open to moving to housing estates offering facilities for the elderly who require additional care.

Survey dataset on occupants׳ satisfaction with housing and life in public residential estates in Ogun State, Nigeria.

This article describes the data associated with the research paper entitled "Subjective life satisfaction in public housing in urban areas of Ogun State" by Ibem and Amole (2013). A multistage sampling technique and questionnaire were used to extract data from occupants in 517 dwelling units in ten selected government mass housing schemes located in five urban centers in Ogun State, Nigeria. The dataset has 57 different variables describing households' demographics, dwelling units' features, supply of basic services, and neighbourhood environment in the residential estates. In addition, it also contains variables used to assess residential satisfaction and satisfaction with life. The Statistical Package of the Social Sciences (SPSS) file, descriptive statistics for all the variables and questionnaire used to derive the data are provided in this article. The dataset will enhance understanding of the main research findings and conclusions.