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covid19-1's Introduction

covid19

Intro/Lit Review (current state of covid19 prediction, and how we are going to contribute)

Data: The unique data set we were able to compile

Weather

There is a large number of columns here. It would be good to regularize the data set and identify the most important columns before writing up the variable description. The full set of variable descriptions are here.

Variable description

Potential Option for Crowd Movement

Google Mobility Report Extraction

Currently Google provides the raw data, but the data is weeks behind the NYT COVID data. The latest at the moment is 4/10/2020.

Zip Code

Census Income Data

Income data by county has been merged to the time series data. Check the column "income_2018" in time_series_all.csv.

Population

Population for 2018 (infered) data has been merged to the time series data. Check the "pop_2018" in time_series_all.csv.

Yelp

Descriptions

Aggregation Methodology

Notes/Caveats

Inference: Identify factors affecting the spread of disease

Prediction: Predict the spread on the county level

number of cases on day n NTH: start date of cases

Benchmark: Compare predictive methods in disease prediction

covid19-1's People

Contributors

tianyuancai avatar lhx3762 avatar jzhang1031 avatar santiagorb-dat avatar

Watchers

James Cloos avatar

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