Cholera in Africa
The data for COVID-19 statistics in African countries is collected from the official website of the World Health Organization (WHO). The data for COVID-19 statistics in Canadian provinces is collected from COVID19Tracker API.

The datasets are freely available to copy, use, and redistribute for non-commercial purposes only, provided that the authors are appropriately credited.

Download full dataset for COVID-19 in African countries (.csv): W3Schools

This project is dedicated to building an Early Warning System (EWS) for avian influenza in Canada. Multiple data sources including Google trends, Google news, number of Reddit posts, number of Facebook posts, air qulity, and weather parameters are combined and used in deep-learning models to accurately forecast avian influenza outbreaks by up to 14 days in advance. The machine learning pipeline which includes collecting data in real-time, training and testing models, forecasting outbreaks, and visualizing the results is automatedd for both country- and regional-level predictoins.

For detailed information on the datasets and methodology, please refer to our manuscript.

Forecasting Avian Influenza in Canada

2023-02-05

Select to exclude or include any region/country:
Canada
Western Region
Central Region
Atlantic Region

Outbreak Forecast

Further Surveillance

Various data sources could also be used for further surveillance of avian influenza outbreaks. Generally, a rise in Google trends, Google news, and the number of Reddit posts means that the number of avian influenza cases may be increasing in wild or domestic birds. In contrast, a rise in air quality parameters, i.e. CO and IV-index, suggests a reduced likelihood of an avian influeza outbreak.

Select to exclude or include any region/country:
Canada
Western Region
Central Region
Atlantic Region

Google Trends

Google News

Number of Reddit Posts

Select to visualize the data source on map:
Google Trends
Google News
Number of Reddit Posts
CO
UV-Index

2023-02-05