- •There are two types of policy outcome analysis tools: a snapshot list of sorted scores and time-series scores.
- •Daily cumulative population mortality is used: dividing the number of daily cumulative deaths by the population in millions.
- •hiscovid allows policymakers to observe the progress of scores over time for correcting their mistakes to reduce deaths.
- •The hiscovid tool is a PyPI application so that it can be installed by the pip command.
|Current code version||0.0.1|
|Permanent link to code/repository used for this code version||https://github.com/SoftwareImpacts/SIMPAC-2022-304|
|Permanent link to reproducible capsule||https://codeocean.com/capsule/5655627/tree/v1|
|Legal code license||MIT License|
|Code versioning system used||PyPI|
|Software code languages, tools and services used||python|
|Compilation requirements, operating environments and dependencies||apt-get: wget, pip3: matplotlib, pandas, numpy, hiscovid|
|If available, link to developer documentation/manual||https://pypi.org/project/hiscovid/|
|Support email for questions||[email protected]|
1. Motivation and significance
- •There are two types of policy outcome analysis tools: a snapshot list of sorted scores and time-series scores. The hiscovid tool is the world’s first time-series policy outcome analysis tool.
- •The daily cumulative population mortality is used for evaluating country time-series scores: dividing the number of daily cumulative deaths by the population in millions.
- •hiscovid is a time-series policy outcome analysis tool intended for policymakers to learn the past mistakes over time. hiscovid allows policymakers to observe the progress and transition of scores over time for correcting the past decision-making mistakes to reduce unnecessary deaths in the future.
- •The hiscovid tool is a PyPI application so that it can be installed by the pip command. PyPI allows hiscovid to run on Windows, MacOS, and Linux operating systems as long as Python is installed on the system.
- •The snapshot policy outcome analysis tools such as scorecovid cannot visualize and observe the progress and transition of scores while time-series policy outcome analysis tools such as hiscovid allow us to visualize and observe the behavior of the transition and to identify when policymakers made mistakes over time. The hiscovid tool is a PyPI application so that as long as Python is installed on the system, it can run on Windows, MacOS, and Linux operating systems. However, the hiscovid tool cannot discover the best COVID-19 policy in the world.
3. Software description
3.1 Software architecture:
3.2 Software functionalities:
4. Illustrative examples
- Takefuji Y.
- Takefuji Y.
- Takefuji Y.
- Takefuji Y.
Declaration of Competing Interest
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