Background: The principal objective of this paper is to introduce an online interactive application that helps in real-time monitoring of the COVID-19 pandemic in Catalonia, Spain (PandemonCAT). Methods: This application is designed as a collection of user-friendly dashboards using open-source R software supported by the Shiny package. Results: PandemonCAT reports accumulated weekly updates of COVID-19 dynamics in a geospatial interactive platform for individual basic health areas (ABSs) of Catalonia. It also shows on a georeferenced map the evolution of vaccination campaigns representing the share of population with either one or two shots of the vaccine, for populations of different age groups. In addition, the application reports information about environmental and socioeconomic variables and also provides an interactive interface to visualize monthly public mobility before, during, and after the lockdown phases. Finally, we report the smoothed standardized COVID-19 infected cases and mortality rates on maps of basic health areas ABSs and regions of Catalonia. These smoothed rates allow the user to explore geographic patterns in incidence and mortality rates. The visualization of the variables that could have some influence on the spatiotemporal dynamics of the pandemic is demonstrated. Conclusions: We believe the addition of these new dimensions, which is the key innovation of our project, will improve the current understanding of the spread and the impact of COVID-19 in the community. This application can be used as an open tool for consultation by the public of Catalonia and Spain in general. It could also have implications in facilitating the visualization of public health data, allowing timely interpretation due to the unpredictable nature of the pandemic.

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The principal objective of this article is to assess the possible association between the number of COVID-19 infected cases and the concentrations of fine particulate matter (PM2.5) and ozone (O3), atmospheric pollutants related to people’s mobility in urban areas, taking also into account the effect of meteorological conditions. We fit a generalized linear mixed model which includes spatial and temporal terms in order to detect the effect of the meteorological elements and COVID-19 infected cases on the pollutant concentrations. We consider nine counties of the state of New York which registered the highest number of COVID-19 infected cases. We implemented a Bayesian method using integrated nested Laplace approximation (INLA) with a stochastic partial differential equation (SPDE). The results emphasize that all the components used in designing the model contribute to improving the predicted values and can be included in designing similar real-world data (RWD) models. We found only a weak association between PM2.5 and ozone concentrations with COVID-19 infected cases. Records of COVID-19 infected cases and other covariates data from March to May 2020 were collected from electronic health records (EHRs) and standard RWD sources.

This research paper discusses about the application of Web-Based Geographical Information System (GIS), an ICT tool for electronic business; particularly through Internet, with a future plan to develop e-promotion and strategic marketing by implementing Web GIS tools for Geobusiness. In the context of e-business, this present study penetrates the usage of GIS to disseminate maximum level of information to the customers. On the other hand, it depicts the growing incorporation of GIS in target marketing, business management, and strategic decision-making processes. It discusses how this modern Geospatial Information Technology (GIT) tool is used for collecting and analyzing information for the efficient and effective management and promotion of e-commerce. Geographical Information System (GIS) is the fundamental science and technology for Geo Design, a systematic methodology of Geographic planning and decision making. Web GIS is the modern technology for capturing, storing, retrieving, mapping and analyzing spatial and non-spatial geographical data in the digital format over the internet. It provides all the GIS functions over the Web, these functions can, in turn, be applied in various sectors of e-business. This paper highlights on the technical aspects of Web GIS for strategic planning, daily business operations, supply chain management, marketing, customer service, improving efficiency and attaining competitive advantage for business organizations.