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CIDER-WWW22:

Code for the WWW 2022 paper Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.

Environment

Python 3.6
Pytorch 1.2.0
Scipy 1.3.1
Numpy 1.17.2
Pytorch geometric 1.7.2

Dataset

Datasets can be found in ./dataset

Run code

source code is in ./src/CIDER/

python main.py --type_y confirmed --type_net dist  --epochs 350

The variable policy_keywords contains keywords for policy selection. The variables cate_list and policy_micro contain the policy categories and policy types for assessment.

Refenrences

The code is the implementation of this paper:

Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen and Jundong Li, Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US, International World Wide Web Conference (WWW), 2022.