Grant: Catalyst Grant: Pandemic Preparedness
University of Winnipeg
$94,750.00
Evaluation of Mitigation Strategies for Pandemic Preparedness in Canada
EF 2008-09
Résumé
Given the threat of an unprecedented spread of the highly pathogenic avian influenza strain H5N1 in humans, and considering the high degree of morbidity and mortality of previous pandemics, research into identifying effective disease control measures is an unavoidable priority. In light of this, the specific objectives of this proposal are: (i) Evaluate the impact of public health mitigation strategies on the spread of pandemic influenza in Canada; and (ii) Develop a predictive framework for subsequent evolution of the virus during a pandemic, which can be used to assess the likely outcomes of public health interventions.
These objectives will be achieved through a reliable, efficient, and adaptable computational system that will be thoroughly evaluated by our stakeholder advisory group from Canadian healthcare departments and agencies involved in pandemic preparedness.
Prior to the emergence of a novel pandemic strain, it is not possible to study the epidemiologic impact of disease or interventions in a real world environment. Our methodology will provide a valuable framework for synthesizing available biological and epidemiological data. By translating virological and clinical data into epidemiologically meaningful parameters, disparate pieces of information can be transformed into a framework that optimizes health policy decisions. The incorporation of population heterogeneity into a contact network model can permit the development of more nuanced, targeted, or geographically specific control strategies. Economic parameters can also be incorporated into network models, allowing estimation of cost-effectiveness and optimization of resource allocation in the face of competing health and distribution priorities. Finally, this framework is useful for the exploration of uncertainties and to (i) construct "best and worst case" projections, (ii) identify important areas for future research, and (iii) estimate the economic attractiveness of such research.
Programme
Catalyst Grant: Pandemic Preparedness
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
171024
Name
Moghadas Seyed M
Region
Manitoba
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Infection and Immunity
Theme2
Health systems / services
Prcname2
Pandemic Preparedness and Outbreak Team Leader
Projecttitle
Evaluation of Mitigation Strategies for Pandemic Preparedness in Canada
Programtype2
Operating Grants
Orgnameinp2
University of Winnipeg
Cihramount2
$94,750
Cihrequipment2
$0
Programname2
Catalyst Grant: Pandemic Preparedness
Keyworddelim
Computer Simulations; Influenza Pandemic; Knowledge Translation And Policy Analysis; Public Health Mitigation Strategies; Social Structure And Network Dynamics; Transmission Routs
Abstract
Given the threat of an unprecedented spread of the highly pathogenic avian influenza strain H5N1 in humans, and considering the high degree of morbidity and mortality of previous pandemics, research into identifying effective disease control measures is an unavoidable priority. In light of this, the specific objectives of this proposal are: (i) Evaluate the impact of public health mitigation strategies on the spread of pandemic influenza in Canada; and (ii) Develop a predictive framework for subsequent evolution of the virus during a pandemic, which can be used to assess the likely outcomes of public health interventions.
These objectives will be achieved through a reliable, efficient, and adaptable computational system that will be thoroughly evaluated by our stakeholder advisory group from Canadian healthcare departments and agencies involved in pandemic preparedness.
Prior to the emergence of a novel pandemic strain, it is not possible to study the epidemiologic impact of disease or interventions in a real world environment. Our methodology will provide a valuable framework for synthesizing available biological and epidemiological data. By translating virological and clinical data into epidemiologically meaningful parameters, disparate pieces of information can be transformed into a framework that optimizes health policy decisions. The incorporation of population heterogeneity into a contact network model can permit the development of more nuanced, targeted, or geographically specific control strategies. Economic parameters can also be incorporated into network models, allowing estimation of cost-effectiveness and optimization of resource allocation in the face of competing health and distribution priorities. Finally, this framework is useful for the exploration of uncertainties and to (i) construct "best and worst case" projections, (ii) identify important areas for future research, and (iii) estimate the economic attractiveness of such research.
Competitiondate
200810
Approvedterm2
1 yr 0 mth
Pinamesdelim
Moghadas, Seyed M; Pizzi, Nicolino (Nick); Wu, Jianhong
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $94,750~ $0~