معرفی شرکت ها
fairiskdata-1.0
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مشاهده بیشتر
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مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
This package facilitates fetching and handling data related to COVID and estimation of related excess mortality
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | fairiskdata-1.0 |
| نام | fairiskdata |
| نسخه کتابخانه | 1.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Catarina Pires, Diana Gomes, David Ribeiro, Duarte Folgado, Ricardo Santos, Telmo Barbosa |
| ایمیل نویسنده | catarina.pires@fraunhofer.pt, diana.gomes@fraunhofer.pt, david.ribeiro@fraunhofer.pt, duarte.folgado@fraunhofer.pt, ricardo.santos@fraunhofer.pt, telmo.barbosa@fraunhofer.pt |
| آدرس صفحه اصلی | https://github.com/fraunhoferportugal/fairisk |
| آدرس اینترنتی | https://pypi.org/project/fairiskdata/ |
| مجوز | Creative Commons BY-NC-SA 4.0 |
# 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).
نیازمندی
| مقدار | نام |
|---|---|
| ==0.7.2 | country-converter |
| ==1.3.4 | mergedeep |
| ==3.17.2 | simplejson |
| ==2.2.0 | pyjstat |
| ==1.0.0 | requests-futures |
| ==4.9.5 | hdx-python-api |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl fairiskdata-1.0:
pip install fairiskdata-1.0.whl
نصب پکیج tar.gz fairiskdata-1.0:
pip install fairiskdata-1.0.tar.gz