This project is no longer being updated. We have transitioned to a new platform to continue our efforts more focused and comprehensively.
Please visit our new project at Global Infectious Disease for the latest updates and more information.
Thank you for your support and understanding.
CNIDS: Chinese Notifiable Infectious Diseases Surveillance Project
CNIDS is a project aimed at monitoring notifiable infectious diseases in Chinese mainland. The project utilizes automated technology and data analysis methods to enhance the monitoring and early warning capabilities for infectious diseases, enabling timely measures to be taken to address potential public health risks.
The primary objective of the CNIDS project is to establish an efficient infectious disease Surveillance system that enables real-time monitoring and prediction of legally notifiable infectious diseases. It provides decision-makers with timely information and recommendations to facilitate appropriate measures for disease control and prevention.
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GetData: All original files automatically crawled by the program.CleanData: Cleaned data files, available for download as needed.AllData: Structured merged file for data analysis.
- After data updates, use AI to automatically generate reports.
- After report generation, AI automatically generates email content (including data update information and important highlights), sends email notifications to subscribed users, and attaches the report as an attachment.
- Shiny Dashboard automatically reads the latest report data and presents it interactively.
- It also supports local Docker deployment.
Get the latest image:
docker push kanggle/cnids:latest
Run the image:
docker run -d -p 3838:3838 kanggle/cnids:latest
Open the browser and enter the address:
http://localhost:3838
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Fork this directory.
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Set up Actions secrets.
a. Docker Hub Settings:
DOCKERHUB_TOKEN: Docker Hub token.
DOCKERHUB_USERNAME: Docker Hub username.
b. SMTP Settings:
smtp_sender: Email address of the sender.
smtp_password: Email password of the sender.
smtp_server_url: Email server url.
smtp_server_port: Email server port.
c. OpenAI Settings:
OPENAI_API_KEY: OpenAI API key (sk-xxxxxxxx).
OPENAI_API_BASE: OpenAI API url (https://api.openai.com/v1).
> You can get the above information by registering an application in [OpenAI](https://beta.openai.com/).
> example: `sk-xxxxxxxxxxxxxxxxxxxxxxxxxxx`and `https://api.openai.com/v1`.
d. OneDrive Settings:
onedrive_url: OneDrive share file url which contains subscriber list.
- Set up Actions variables.
a. test: Whether to test getting data from the China CDC Monthly Report. Default: False.
b. cite: Citation information. Default: `Cite Us: CNIDs: Chinese Notifiable Infectious Diseases Surveillance Project. Github'
c. test_dc: Whether to test getting data from the Public Health Scientific Data Center. Default: False.
d. test_mail: Whether to display the test content in email. Default: True.
e. send_mail: Whether to send email. Default: True.
- Set up config file (optional).
a. config.yml: Configuration file for data source and AI models.
- Run Github Action.
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Monthly NID Report Cases Data of 2013.4 and 2013.8 may be unreliable, because images are not clear enough to recognize.
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Monthly NID Report Cases Data of 2013.1 and 2013.2 may be unreliable, because image of website is not available.
Date: 20240531
Updated: ['2024 April']
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Updated: ['2024 March']
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Updated: ['2024 February']
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Updated: ['2024 January']
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Updated: ['2023 December']
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Updated: ['2023 November']
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Updated: ['2023 October']
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Updated: ['2023 September']
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Updated: ['2023 August']
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Updated: ['2023 May']
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Updated: ['2023 June']
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Updated: ['2023 July', '2023 June']
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Updated: ['2023 March']
Date: 20230906
Updated: Initial
Date: 20240116
Updated: ['2020']
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Updated: ['2019']
Date: 20230906
Updated: Initial
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