Avian influenza, commonly known as 'bird flu', which is caused by influenza A viruses can infect wild and domesticated bird populations and, in some cases, mammals. Avian influenza has recently raised significant concerns across the globe due to its impact on the poultry industry and wild bird populations. There are concerns about the ability of these viruses to cross the species barrier and infect mammals, including humans.
There is a continuous need to conduct surveillance for the purpose of early detection, timely interventions and preparedness to safeguard poultry populations and public health. This website serves as a specialized platform for sharing comprehensive and harmonized data related to avian influenza outbreaks.
This website is developed to give access to the first comprehensive metadata for avian influenza modeling. We have also developed a descriptive dashboard harness real-time data from Twitter and Google Trends to show online activities related to avian influenza. With user-friendly visualizations, it provides up-to-date social media and online intelligence for strategic awareness and preparedness.
Stay tuned as we add descriptive and predictive dashboards for avian influenza risk factors assessment and prediction.
Our comprehensive Metadata page is aimed to harmonize avian influenza modeling data definition, data organization, and data categorization (taxonomy). By making the meta-data available publicly, we invite the expert community, scientific community, and practitioners in private and public organizations to share their feedback and recommendations on avian influenza meta-data content that we have constructed. Our objective is to improve avian influenza meta-data through crowdsourcing knowledge and make it available to researchers and practitioners and make it available for integration in the avian influenza information systems.
Surveillance Dashboard page is intended to display various metrics for monitoring and prediction of avian influenza spread, assessment of risk factors and analysis of virus transmission behavior. Similar to the meta-data page, our objective is to receive feedback from expert community, scientific community, and practitioners in private and public organizations on how avian influenza metrics, data, models, and visualizations can be improved to improve decision making.
The surveillance dashboard, once completed, will integrate various types of data from social media, online sources, citizen science data portals, environmental data sources, and historical avian influenza virus epidemic information. Our objective is to disseminate information and knowledge about avian influenza surveillance tools and their requirements that have the potential to significantly enhance community protection against avian influenza, enabling data-driven decision-making and proactive measures to safeguard public health.