Various files with models and graphs concerning COVID-19.
Accessible at https://share.streamlit.io/rcsmit/covidcases/main/covid_menu_streamlit.py
Sorry, sourcecode, input and outputfiles are mixed in one directory. If I'd do it again, I would split it up and make an utils.py file also.
- 1) covid_dashboard_rcsmit.py - aggregates a lot of information and statistics from the Netherlands. Shows correlations and graphs.
- 2) Plot_hosp_ic_streamlit.py - Plot the number of hospital and ICU admissions per age in time in the Netherlands
](https://share.streamlit.io/rcsmit/covidcases/main/grafiek_pos_testen_per_leeftijdscategorie_streamlit.py){kind=link}
3) calculate_false_positive_rate_covid_test.py - HOE BETROUWBAAR ZIJN DE TESTEN ?
- 4) number_of_cases_interactive.py - Plotting the number of COVID cases with different values. Contains a SIR-graph and a classical SIR-model. Including immunity
5) calculate_ifr_prevalence.py - calculate percentage of population who had covid and the IFR from the prevalence
6)fit_to_data_streamlit.py - FIT THE DATA
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7) SEIR_hobbeland.py - Make an interactive version of the SEIR model, inspired by Hobbeland - https://twitter.com/MinaCoen/status/1362910764739231745
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8) Show contact matrix
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9) r getal per provincie
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10) Cases from suspectibles
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11) Fit to data OWID
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12) Calculate R per country owid
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13) Covid dashboard OWID/Google or Waze
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14) Dag verschillen per leeftijd
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15) Calculate spec)/abs) humidity from rel) hum
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16) R getal per leeftijdscategorie
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17) Show rioolwaardes
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18) SIR model met leeftijdsgroepen
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19) grafiek_pos_testen_per_leeftijdscategorie_streamlit)py - draw graphs of positieve cases per age in time**
githubusercontent)com/1609141/112730260-e0f09f00-8f30-11eb-9bff-a835c2f965f7)png)**
streamlit)io/badges/streamlit_badge_black_white)svg)streamlit)io/rcsmit/covidcases/main/grafiek_pos_testen_per_leeftijdscategorie_streamlit)py)**
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20) per provincie per leeftijd
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21) kans om covid op te lopen
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22) Data per gemeente
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23) VE Israel
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24) Hosp/death NL
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25) VE Nederland
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26) Scatterplots QoG OWID - Combine a lot of information of Qog and Our World in Data
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27) VE & CI calculations
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28) VE scenario calculator
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29) VE vs inv. odds
- grafiek_pos_testen_per_leeftijdscategorie_PREPARE)py
- prepare_casuslandelijk.py
- mobilityR.csv - Contains google- and apple mobility data for masterfile_covid.py
- requirements.txt - required to use number_of_cases_interactive.py at share.streamlit.io
- knmi2.csv - weather info
- mobility.csv - mobility info
- pos_test_leeftijdscat_wekelijks.csv - table 14 from 'wekelijks rapport RIVM' with tested/tested positive with different ageclasses -from 2020/8/1
- postestennaarleeftijd2.csv - table 14 from 'wekelijks rapport RIVM' with tested/tested positive with different ageclasses - from 2021/1/1
- input_latest_age_pos_test_kids_seperated.csv - table 14 from 'wekelijks rapport RIVM' with tested/tested positive with different ageclasses - from 2021/1/1 >20 in 10 years cohorts and kids still separated
- input_latest_age_pos_tests.csv - table 14 from 'wekelijks rapport RIVM' with tested/tested positive with different ageclasses - from 2021/1/1 >20 in 10 years cohorts and kids in one chohort
- restrictions.csv - restrictions in NL
- SWEDEN_our_world_in_data.csv - info about sweden
- weektabel.csv - all data from the dashboard aggregated per week - 2021
Just download or copy paste. Do not forget the required files
- Python
- Streamlit - Streamlit
See explanation how to make interactive graphs with Streamlit here https://rcsmit.medium.com/making-interactive-webbased-graphs-with-python-and-streamlit-a9fecf58dd4d
- Thanks to Han-Kwang Nienhuys for his help on several topics and some code snippets (MIT-licensed)
- Thanks to Josette Schoenmakers and Maarten van den Berg for their inspiration, help and feedback