shaocongwu/apin2021_covid19_project

A github repository for publishing data and code related to the paper "Statistical analysis of the community lockdown for COVID-19 pandemic, APIN 2021".

Statistical analysis of the community lockdown for COVID-19 pandemic

A github repository for publishing data and code related to the paper "Statistical analysis of the community lockdown for COVID-19 pandemic, APIN 2021".

Our paper is open access and you can read and download it at this link.

Code dependencies

Install the necessary package with:

1. Python 2 or 3 [Basic environment]
2. random
3. itertools
4. pickle
5. numpy
6. math
7. pandas
8. matplotlib

Data

Our data were collected from Johns Hopkins University and the Chinese Health Commission.

1. city-level data [China]
2. province-level data [China, India]
3. country-level data [China, India, Australia, America]

Some data were extracted from Chinese policy documents.

Run Code

The code is fully commented so consult it yourself.

1. ALPS-china.py: This code is optimized for the Chinese community environment;
2. ALPS-world.py: It is basically the same as ALPS-china.py, but more general.

Cite our work

If you find this repository useful, please use the following BibTeX entry for citation.

@article{COVID_ALPS_APIN2021,
  title={Statistical analysis of the community lockdown for COVID-19 pandemic},
  author={Shaocong Wu, Xiaolong Wang and Jingyong Su},
  journal={Applied Intelligence},
  volume={52},
  number={4},
  pages={3465--3482},
  year={2022},
  publisher={Springer}
}