Grant: Discovery Grants Program - Individual
Université du Québec à Montréal
$11,000.00
Estimation for non homogeneous birth and death processes: applications in ecology and epidemics
EF 2014-15
Résumé
We are proposing novel methods for analyzing ecological, namely predator-prey, as well as epidemic data. The focus is on estimating crucial parameters in such contexts, for example the interaction parameters in ecology, or the basic reproduction number in epidemic studies. These parameters control the size of predator-prey populations, respectively the spread of epidemics. In both contexts, the starting points are new specific models, incorporating deterministic dynamics into a non homogeneous Poisson or birth and death process. Further, we develop an estimation methodology that takes into account how field data are collected, in particular that many instrumental quantities are hard or impossible to measure.In the long run, important applications of this new methodology are in the study of metapopulations, i.e. animal populations living in a fragmented habitat, as well as in the spatio-temporal study of recurrent epidemics, like the flu seasons.In ecology, the practical impact of our proposal is in assessing the evolution and possible decline of animal populations, due to human intervention, among other. As far as epidemics go, our proposal should contribute to the rich body of active research aimed at finding efficient ways of controlling the size and cost of epidemics
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
36526-2013
Name nom
Froda, Sorana
Department département
Mathématiques
Organization id
57
Institution établissement
Université du Québec à Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2013
Award amount
11000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
3005
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Biostatistics
Research subject fr
Biostatistiques
Partie
2
Nb partie
5
Application title
Estimation for non homogeneous birth and death processes: applications in ecology and epidemics
Keyword
NSERC
Application summary
We are proposing novel methods for analyzing ecological, namely predator-prey, as well as epidemic data. The focus is on estimating crucial parameters in such contexts, for example the interaction parameters in ecology, or the basic reproduction number in epidemic studies. These parameters control the size of predator-prey populations, respectively the spread of epidemics. In both contexts, the starting points are new specific models, incorporating deterministic dynamics into a non homogeneous Poisson or birth and death process. Further, we develop an estimation methodology that takes into account how field data are collected, in particular that many instrumental quantities are hard or impossible to measure.In the long run, important applications of this new methodology are in the study of metapopulations, i.e. animal populations living in a fragmented habitat, as well as in the spatio-temporal study of recurrent epidemics, like the flu seasons.In ecology, the practical impact of our proposal is in assessing the evolution and possible decline of animal populations, due to human intervention, among other. As far as epidemics go, our proposal should contribute to the rich body of active research aimed at finding efficient ways of controlling the size and cost of epidemics