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TeamReispar-C3DataHackathonSolution

backup link https://reispar-covid-hackathon.netlify.app/

Siham's Economic & Health Analysis Dashboard

Link- https://datastudio.google.com/u/0/reporting/fe21b355-2f92-4dd2-91ea-a25d82accd37/page/Wl3oB

Link to CT Scan Deep Learning Model Weight (the model is EfficientNetB6) https://drive.google.com/file/d/1L7nWet_B8tuFLIkc2-bUUusa_B247Pcw/view

Data Sources:

From C3 Data Lake Source: https://c3.ai/covid-19-api-documentation/#section/C3.ai-APIs-for-COVID-19-Unified-Data

Policy Detail- University of Oxford: Coronavirus Government Response Tracker Link: https://www.bsg.ox.ac.uk/research/research-projects/coronavirus-government-response-tracker

Clinical Data (Images) - The University of Montreal: COVID-19 Image Data Collection (Diagnosis, DiagnosisDetail) Link: https://github.com/ieee8023/covid-chestxray-dataset File: COVID19 CT scan Images

Outbreak Location: John Hopkins University datasets https://github.com/CSSEGISandData/COVID-19 File: Time Series (Recovered, Confrimed & Deaths)

Daily Case Reports: COVID19_Tracking_Project File: all-states-history(1).csv Link: https://covidtracking.com/data/download/all-states-history.csv https://covidtracking.com/

Weather data: 12_Google BigQuery COVID-19 Dataset -> Weather Data for COVID-19 Research weather_data.csv Link: https://console.cloud.google.com/bigquery?p=bigquery-public-data&d=covid19_weathersource_com&t=county_day_history&page=table&project=zippy-card-293323&folder=&organizationId= https://console.cloud.google.com/storage/browser/fadi_c3_weather_data

Additional Data Sources for CT Scan Deep Learning Project

COVID19 CT Scan from Kaggle 1: Source: SARS-COV-2 Ct-Scan Dataset A large dataset of CT scans for SARS-CoV-2 (COVID-19) identification. Collected from real patients in hospitals from Sao Paulo, Brazil. https://www.kaggle.com/plameneduardo/sarscov2-ctscan-dataset

COVID19 CT Scan from Kaggle 2: Source: COVID-19 Lung CT Scans COVID-CT-Dataset: A CT Scan Dataset about COVID-19. Collected from COVID19-related papers from medRxiv, bioRxiv, NEJM, JAMA, Lancet, etc. CTs containing COVID-19 abnormalities are selected by reading the figure captions in the papers. https://www.kaggle.com/luisblanche/covidct


Economic & Pubic Health: Google Cloud Platform Open Data Link: https://github.com/GoogleCloudPlatform/covid-19-open-data


Other Data Sources: covid.csv:

COVID-19 patient pre-condition dataset Data obtained from Mexican government data set

https://www.kaggle.com/tanmoyx/covid19-patient-precondition-dataset

covid_19_data.csv:

Novel Corona Virus 2019 Dataset Day level information on covid-19 affected cases

https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset

population_total.csv:

population total from worldbank

https://data.worldbank.org/indicator/SP.POP.TOTL

fertility_rate.csv :

Fertility rate, total from worldbank

 https://data.worldbank.org/indicator/SP.DYN.TFRT.IN

life_expectancy.csv:

Life expectancy at birth, total from worldbank

https://data.worldbank.org/indicator/SP.DYN.LE00.IN

countryLockdowndates.csv & Curfews_and_lockdowns_countries_dates.csv:

COVID-19 Lockdown dates by country

A list of countries and the dates that each country went into lockdown.

https://www.kaggle.com/jcyzag/covid19-lockdown-dates-by-country

temperature _monthly_data_per_country.csv

https://figshare.com/articles/temperature_csv/3171766

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