Metadata-Version: 2.1
Name: fairiskdata
Version: 1.0
Summary: This package facilitates fetching and handling data related to COVID and estimation of related excess mortality
Home-page: https://github.com/fraunhoferportugal/fairisk
Author: Catarina Pires, Diana Gomes, David Ribeiro, Duarte Folgado, Ricardo Santos, Telmo Barbosa
Author-email: catarina.pires@fraunhofer.pt, diana.gomes@fraunhofer.pt, david.ribeiro@fraunhofer.pt, duarte.folgado@fraunhofer.pt, ricardo.santos@fraunhofer.pt, telmo.barbosa@fraunhofer.pt
License: Creative Commons BY-NC-SA 4.0
Description: # FAIRisk | Improving risk estimation with open resources
        
        FAIRisk combines open-source globally available data related with risk scales and country preparedness for epidemic 
        crisis with post-COVID-19 data. It aims to facilitate the creation of preventive insights at country-level and the 
        suggestion of improvements to current risk modelling strategies, and assist the work of the scientific community and 
        decision-makers dealing with COVID-19 (or related) crisis.
        
        This repository addresses data interoperability challenges of fetching and combining several openly available sources 
        of multimodal data, so these can be coherently used from a centralized data model. This model was designed bearing 
        FAIR principles and EU's open data guidelines in mind to promote an adequate, well-documented and simplified use of 
        the combined data.
         
        
        ### Approach
        
        A semantic data model was defined, following the analysis of several relevant sources, in order to typify and indentify 
        the most relevant concepts, while attempting to maximize its generalization. Data from 6 different sources was 
        organized and merged in a single data model, where each country entity is represented by up to 6 categories:
        
        - Demographics: population by age group.
        - Indicators: raw indicators' data measured for each country.
        - Scores: indexes, scales, or scores that assist the comparison of qualitative or estimated parameters across 
        countries.
        - Mortality: count of deaths by age group.
        - COVID-19: number of cases, deaths, tests, ICU patients, hospitalizations, vaccinations, and stringency index due to 
        the COVID-19 pandemic.
        - Mobility: statistics of citizens movement estimations.
        
        Check out our [architecture documentation](https://github.com/fraunhoferportugal/fairisk/blob/main/docs/index.md) for more details.  
        
        
        ### Getting started
        
        Jump to our [getting started guide](https://github.com/fraunhoferportugal/fairisk/blob/main/docs/GettingStarted.md). 
        Data exploration, visualization, and export is also possible using [our simple streamlit application](https://github.com/fraunhoferportugal/fairisk/blob/main/docs/Streamlit.md).
        Also, you may read our [full documentation](https://github.com/fraunhoferportugal/fairisk/blob/main/docs/index.md).
        
        
        ### License
        
        All visualizations and code available in this repository are licensed under the [Creative Commons BY-NC-SA 4.0 
        license](https://creativecommons.org/licenses/by-nc-sa/4.0/).
        
        All data fetched by the methods available in this repository was produced by third-parties and is subject to the license 
        terms from the original third-party authors. The sources from which data was fetched are kept and made available as 
        metadata at all stages. Sources are also detailed [here](https://github.com/fraunhoferportugal/fairisk/blob/main/docs/SourceDatasets.md). You should always check the license of all third-party data before use.
        
        
        ### Funding
        
        The authors would like to acknowledge the financial support obtained from EOSCsecretariat.eu. EOSCsecretariat.eu has 
        received funding from the European Union's Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement 
        number 831644.
        
        
        ### Authors
        
        These resources were developed by [Fraunhofer AICOS](https://www.aicos.fraunhofer.pt/en/home.html).
        
        **Development team**: Diana Gomes (diana.gomes@fraunhofer.pt), Catarina Pires (catarina.pires@fraunhofer.pt), 
        David Ribeiro (david.ribeiro@fraunhofer.pt), Duarte Folgado (duarte.folgado@fraunhofer.pt), 
        Ricardo Santos (ricardo.santos@fraunhofer.pt), Telmo Barbosa (telmo.barbosa@fraunhofer.pt).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
