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A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

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These are the codes accompanying publication :A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models at (https://arxiv.org/pdf/2004.04019.pdf) by Dianbo Liu, Leonardo Clemente , Canelle Poirier†,Xiyu Ding Matteo Chinazzi, Jessica T Davis, Alessandro Vespignani , Mauricio Santillana

Organized input are are in result folder

PredictionModel includes three files.

Functions_NCOV.R has all the codes and functions to run the ARGO model at different settings

PredictiveModels.R is the code to run the ARGO model

Digitizer.py is the python code to digitize Baidu.index data from downloaded images.

If you have any questions, please email me at [email protected] / [email protected]

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A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models

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