Grant: Catalyst Grant: Avian Influenza OneHealth Research
University of Manitoba
$0.00
Multi-Scale Spatiotemporal Analysis and Uncertainty Quantification for HPAI H5N1 Risk Assessment
FY 2024-25
Summary
Avian influenza poses significant risks not only to birds but also to human health and the economy. Currently, we are amid an outbreak of the highly contagious H5N1 strain, which has caused widespread issues among birds and mammals, including rare human cases. Our aim is to map and forecast where and when bird flu might strike next at the level of all small areas in Canada.
Our approach involves studying a variety of risk factors that can influence the spread of the disease. These include bird migration patterns, which can bring infected birds into contact with domestic flocks and wildlife; climate conditions that affect the survival and transmission of the virus in the environment; human population densities, which can impact how quickly the disease might spread in human communities; and the layout of land use, such as farms and water bodies, which are critical habitats for wild and domestic birds. Additionally, we consider the number of facilities for poultry and poultry production, and bird harvest and hunting areas, which are vital for understanding how human activities intersect with bird populations at risk.
By integrating these risk factors, we will create sophisticated models that predict high-risk areas and times for bird flu outbreaks. This information will be crucial for stakeholders such as public health officials, farmers, and wildlife managers, enabling them to implement targeted interventions like enhanced surveillance, improved biosecurity on poultry farms, and strategic vaccination efforts.
Our project will produce an interactive dashboard providing real-time evidence and detailed maps of bird flu risks. This tool will empower decision-makers to act quickly and effectively, preventing outbreaks and safeguarding both animal and human health. By leveraging advanced analytics, we aim to contribute significantly to public health readiness and response strategies, especially in preventing the spread of bird flu.
Department
Program
Catalyst Grant: Avian Influenza OneHealth Research
Recipient
Location
Manitoba, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
507184
Name
Torabi Mahmoud
Region
Manitoba
Country
Canada
Orgtype
Institution Paid; Research Institution
Partnername
Natural Sciences and Engineering Research Council of Canada (NSERC)
Instname2
Population and Public Health
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
Catalyst Grant: Catalyzing OneHealth Research on Avian Influenza
Projecttitle
Multi-Scale Spatiotemporal Analysis and Uncertainty Quantification for HPAI H5N1 Risk Assessment
Programtype2
Operating Grants
Orgnameinp2
University of Manitoba
Cihramount2
$0
Cihrequipment2
$0
Programname2
Catalyst Grant: Avian Influenza OneHealth Research
Keyworddelim
Epidemiological Modeling; One Health Approach; Risk Assessment; Spatiotemporal Analysis
Abstract
Avian influenza poses significant risks not only to birds but also to human health and the economy. Currently, we are amid an outbreak of the highly contagious H5N1 strain, which has caused widespread issues among birds and mammals, including rare human cases. Our aim is to map and forecast where and when bird flu might strike next at the level of all small areas in Canada.
Our approach involves studying a variety of risk factors that can influence the spread of the disease. These include bird migration patterns, which can bring infected birds into contact with domestic flocks and wildlife; climate conditions that affect the survival and transmission of the virus in the environment; human population densities, which can impact how quickly the disease might spread in human communities; and the layout of land use, such as farms and water bodies, which are critical habitats for wild and domestic birds. Additionally, we consider the number of facilities for poultry and poultry production, and bird harvest and hunting areas, which are vital for understanding how human activities intersect with bird populations at risk.
By integrating these risk factors, we will create sophisticated models that predict high-risk areas and times for bird flu outbreaks. This information will be crucial for stakeholders such as public health officials, farmers, and wildlife managers, enabling them to implement targeted interventions like enhanced surveillance, improved biosecurity on poultry farms, and strategic vaccination efforts.
Our project will produce an interactive dashboard providing real-time evidence and detailed maps of bird flu risks. This tool will empower decision-makers to act quickly and effectively, preventing outbreaks and safeguarding both animal and human health. By leveraging advanced analytics, we aim to contribute significantly to public health readiness and response strategies, especially in preventing the spread of bird flu.
Competitiondate
202407
Approvedterm2
1 yr 0 mth
Pinamesdelim
Torabi, Mahmoud
Approvedterm
1 an 0 mois