Apps and software
This section describes some of the results, such as software tools, libraries, web applications, etc., derived from the research projects in which I am involved.
The Health and Social Survey (ESSA) aims to determine the magnitude, characteristics, and evolution of the COVID-19 impact on overall health as well as the socioeconomic, psychosocial, behavioral, occupational, environmental, and clinical determinants of both the general and specific.
Atlas of the Social Determinants of Health (Cabrera A, Saez M, Campoy F, Perafita X, Mateo I, Barceló MA, Daponte A). Shiny web application, July 22, 2022
The Atlas of the Social Determinants of Health in Spain compiles and shows the set of indicators of the "Social Determinants of Health". The Social Determinants of Health (SDH) are the circumstances in which people are born, grow, live, work and age, in short, they are the conditions in which daily life takes place, according to the WHO. The better or worse conditions of these determinants are what define the level of health of the population; and the changes in these DSS, resulting from the economic and social changes that occur in our country, as well as the policies developed by both public institutions and the private sector in response to these changes, in turn cause changes in the health of the population over time. Likewise, it is the differences in the conditions of the DSS that explain most of the inequalities in health between the Spanish Autonomous Regions.
The indicators are displayed visually using different types of graphs and maps, so that the evolution over time and the differences between the different Autonomous Communities, as well as the gender gap, can be observed. The platform allows the user to select the indicators, time periods, Autonomous Regions, and gender, to produce the graphs or maps, also enabling maximum customization by the user. Finally, it also allows the downloading of the produced graphs and selected data. The Atlas, the directory of indicators and the data can be consulted and downloaded from the website. Both the directory of indicators and the data are periodically reviewed and updated.
This Atlas has been developed within the framework of the Social Determinants of Health Research Program of the CIBER of Epidemiology and Public Health (CIBERESP), in which professionals from different institutions have participated. The research group on "Social determinants, environment, citizenship and health" of the Andalusian School of Public Health, and the "Research Group on Statistics, Econometrics and Health (GRECS)" of the University of Girona, have selected and statistically treated the indicators that make up this Atlas, as well as carried out the design and execution of its graphs and maps.
PandemonCAT: Monitoring the Pandemic in Catalonia (Giménez-Adsuar G, Chaudhuri Som, Barceló MA, Saez M). Shiny web application, October 21, 2021
The objective of this project is to offer a complete vision of the COVID-19 pandemic in Catalonia, Spain.
In this app you will find a complete list of all the key variables regarding the disease: new cases, hospitalizations, ICU and deaths. The vaccination flow (both the first and the second dose) for different age groups of the population in individual health zones of the community has also been represented.
The app provides information on other socioeconomic and environmental variables, such as meteorological and air pollution variables, population by age groups, unemployment rate, per capita income and others in a geospatial interface. The app also offers an interactive interface to visualize public mobility before, during and after the phases of confinement in the community. The visualization of these variables that could influence the spatio-temporal dynamics of the pandemic is demonstrated. We believe that the incorporation of these new dimensions, which is the key innovation of our project, will improve the current understanding of the spread and impact of COVID-19. This complete project offers an interactive web application that allows the monitoring of the COVID-19 pandemic in Catalonia (PandemonCAT).
PandemonCAT-Vaccination: Monitoring the Pandemic in Catalonia-Vaccination (Giménez-Adsuar G, Chaudhuri Som, Barceló MA, Saez M). Shiny web application, June 15, 2021
This app is part of the forthcoming project ‘Monitoring the Pandemic in Catalonia’ (PandemonCAT).
The objective of the project is to provide a Web application that enables monitoring of the COVID-19 pandemic in Catalonia. Its outocomes include, in addition to vaccination, the results of diagnostic tests, transmission (reproductive number), hospitalization, admissions to ICUs, and the number of deaths. The visualization of those variables that could have some influence on the spatio-temporal dynamics of the pandemic is also provided. Thus, environmental variables (air pollutants and meteorological variables), socioeconomic variables, points of interest where there could be a greater risk, and public mobility data are shown in an interactive interface.
smartables: Automatically generate ready-to-publish descriptive tables and Generate summary tables from GLM, Cox Regression and INLA model outputs (Giménez-Adsuar G, Saez M, Barceló MA). CRAN Package, April 7, 2021
An R package that contains two functions: create_table() and modeltable().
The former loads a data frame and other strings to indicate which variables are not of interest for the summary, as well as those that will generate stratified tables. It returns two data frames: one for the overall summay and another for the stratified table.
The later loads the resulting output of either GLM, Cox Regression or INLA models, and returns a ready-to-publish summary table from it.
formals: Form for data collection on patients with motor neuron disease (Barceló MA, Franquet A, Povedano M). Intellectual Property Register (research software). Application number: A001-7065/2019. Application date: November 13, 2019
Design of a form prepared for longitudinal data collection for a common data model in patients with motor neuron disease.
eventr: Create Event Based Data Architectures (Franquet A, Barceló MA, Saez M, Plaja P). CRAN Package, May 26, 2020
An R package that aims to facilitate the creation and analysis of event-based data architectures (EDA). This architecture is an abstract model of what information describes a data set and how that information is organized. An EDA makes use of events to trigger a set of actions: transport the information needed to carry out an action (the event); process the event information to run some task (the handler); Evaluate the events and decide which handler to use based on the type of event (the dispatcher).