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Background: The global outbreak of coronavirus disease 2019 (COVID-19) and its consequences compromise the health of Women of Reproductive Age (WRA). The aim of this study was to assess the level of knowledge, safety practices, and anxiety levels among WRA during COVID-19 outbreaks. Materials and Methods: A cross-sectional, correlational design was used to recruit a convenience sample of 453 WRA in Saudi Arabia. Data were collected using an electronic self-administered questionnaire of Spielberger state-trait anxiety and an adapted authors-developed knowledge and practices scale using an extensive literature review. Data were collected between September and December 2020 targeting all women in the country. Pearson correlation coefficient has been used to test correlation utilizing the Statistical Package for the Social Sciences (SPSS) 25. Results: The mean score of anxiety was 46.0 (13.40). Women have a high mean score of knowledge (24.50, standard deviation (SD) = 3.40) while having a low mean score of practices (19.70, SD = 3.10) indicating inappropriate practices. A significant difference was found in anxiety (t479 = 2.52, p = .012) and knowledge (t479 = −1.98, p = .048) between pregnant and non-pregnant women, while no statistically significant difference was found in relation to practices. The mean score of anxiety was higher among pregnant women than non-pregnant women, while a slightly higher mean score of knowledge was observed for non-pregnant women compared to pregnant ones. Conclusions: Although women had good knowledge about safety precautions, their practices did not indicate that. There is a need to educate women about safety practices and interventions that buffer their anxiety levels.

Administrative geography is concerned with the hierarchy of areas related to national and local government in a country. They form an important dataset in the country’s open data provision and act as the geo-referencing backdrop for many types of geospatial data. Proprietary ontologies are built to model and represent these data with little focus on spatial semantics. Studying the quality of these ontologies and developing methods for their evaluation are needed. This paper addresses these problems by studying the spatial semantics of administrative geography data and proposes a uniform set of qualitative semantics that encapsulates the inherent spatial structure of the administrative divisions and allows for the application of spatial reasoning. Topological and proximity semantics are defined and combined into a single measure of spatial completeness and used for defining a set of competency questions to be used in the evaluation process. The significance of the novel measure of completeness and competency questions is demonstrated on four prominent real world administrative geography ontologies. It is shown how these can provide an objective measure of quality of the geospatial ontologies and gaps in their definition. The proposed approach to defining spatial completeness complements the established methods in the literature, that primarily focus on the syntactical and structural dimensions of the ontologies, and offers a novel approach to ontology evaluation in the geospatial domain.

Users' awareness of the extent of information implicit in their geo-profiles on social networks is limited. This questions the validity of their consent to the collection, storage and use of their data. Tools for location privacy awareness are needed that provide users with accessible means for understanding the implicit content in their location information as well as a view of the level of risk to their privacy as a consequence of disclosing this information. Towards this goal, an abstract model of location privacy threat levels is first derived from a user study involving 186 users. This is then used to inform the design of a prototype privacy feedback tool for a location-based social network. Another user study involving 338 users of this network is carried out to test the effectiveness of the proposed design. Findings confirm the strong need of users for more transparent access to and control over their location profiles and guide the proposal of recommendations to the design of more privacy-sensitive geo-social networks.

Administrative geography is concerned with the hierarchy of areas related to national and local government in a country. They form an important dataset in the country's open data provision and act as the geo-referencing backdrop for many types of geospatial data. Proprietary ontologies are built to model and represent these data with little focus on spatial semantics. Studying the quality of these ontologies and developing methods for their evaluation are needed. This paper addresses these problems by studying the spatial semantics of administrative geography data and proposes a uniform set of qualitative semantics that encapsulates the inherent spatial structure of the administrative divisions and allows for the application of spatial reasoning. Topological and proximity semantics are defined and combined into a single measure of spatial completeness and used for defining a set of competency questions to be used in the evaluation process. The significance of the novel measure of completeness and competency questions is demonstrated on four prominent real world administrative geography ontologies. It is shown how these can provide an objective measure of quality of the geospatial ontologies and gaps in their definition. The proposed approach to defining spatial completeness complements the established methods in the literature, that primarily focus on the syntactical and structural dimensions of the ontologies, and offers a novel approach to ontology evaluation in the geospatial domain. [ABSTRACT FROM AUTHOR]