comments
Respond
Comment on the article
Add a citation
Reply with an article
Start a new topic
Edit
Edit article
Delete article
Share
Invite
Link
Embed
Social media
Avatar
View
Graph
Explorer
Focus
Down
Load 1 level
Load 2 levels
Load 3 levels
Load 4 levels
Load all levels
All
Dagre
Focus
Down
Load 1 level
Load 2 levels
Load 3 levels
Load 4 level
Load all levels
All
Tree
SpaceTree
Focus
Expanding
Load 1 level
Load 2 levels
Load 3 levels
Down
All
Down
Radial
Focus
Expanding
Load 1 level
Load 2 levels
Load 3 levels
Down
All
Down
Box
Focus
Expanding
Down
Up
All
Down
Article ✓
Outline
Document
Down
All
Page
Canvas
Time
Timeline
Calendar
Updates
Subscribe to updates
Get updates
Past 24 hours
Past week
Past month
Past year
Pause updates
Contact us
Health economics
RELATED ARTICLES
Explain
⌅
EIDM
EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7
⌃
Research interests
Research interests☜☜9FDEF6
■
Health economics
Health economics☜☜9FDEF6
⇤
Alan Diener
Alan Diener☜Dr. Diener is the Assistant Director of the Policy Research, Economics and Analytics unit, in the Strategic Policy Branch at Health Canada. Alan received his PhD in economics from McMaster University and he has previously held positions at the University of Nebraska Medical Center, the Public Health Agency of Canada, and the Organisation for Economic Cooperation and Development (OECD) where he was a consultant in the Health Division from 2011 to 2013.☜FFFACD
⇤
Beate Sander
Beate Sander☜Canada Research Chair in Economics of Infectious Diseases and Director, Health Modeling & Health Economics and Population Health Economics Research at THETA (Toronto Health Economics and Technology Assessment Collaborative).☜FFFACD
⇤
Christopher McCabe
Christopher McCabe☜Dr. Christopher McCabe is the CEO and Executive Director of the Institute of Health Economics (IHE).☜FFFACD
⇤
Danica Wolitski
Danica Wolitski☜Danica is a Health Economist at the Institute of Health Economics (IHE), Alberta, and an NSERC and One Society Network Research Associate with the OSN Health Care research team. She has a Master of Arts in Economics and a Bachelor of Mathematics from the University of Alberta. She is interested in multidisciplinary research, particularly in the links between epidemiology and economics.☜FFFACD
⇤
David Hall
David Hall☜Professor in Animal Health Economics at the University of Calgary.☜FFFACD
⇤
Ellen Rafferty
Ellen Rafferty☜Dr. Ellen Rafferty has a Master of Public Health and a PhD in epidemiology and health economics from the University of Saskatchewan. Dr. Rafferty’s research focuses on the epidemiologic and economic impact of public health policies, such as estimating the cost-effectiveness of immunization programs. She is interested in the incorporation of economics into immunization decision-making, and to that aim has worked with a variety of provincial and national organizations.☜FFFACD
⇤
Erin Kirwin
Erin Kirwin☜Erin Kirwin (she/her) is a Health Economist at the Institute of Health Economics (IHE) in Alberta, Canada. She holds a Bachelor of Arts (Honours) in Economics and International Development Studies from McGill University and a Master of Arts in Economics from the University of Alberta. Prior to joining the IHE, Erin was the Manager of Advanced Analytics at Alberta Health. Erin is a PhD candidate at the University of Manchester.☜FFFACD
⇤
Jeff Round
Jeff Round☜Jeff Round, BA (Hons), MA, PhD, is Director of Economics at the IHE.☜FFFACD
⇤
Kate Harback
Kate Harback☜Dr. Harback is the Associate Director of Economics at the Institute of Health Economics (IHE). As an economist, she has over 15 years of experience working on and leading work in applied microeconomics. In addition to health economics, her work has focused on the fields of transportation, computable general equilibrium, and environmental economics.☜FFFACD
⇤
Man Wah Yeung
Man Wah Yeung☜Senior Health Economist at the Public Health Agency of Canada.☜FFFACD
⇤
Marc Brisson
Marc Brisson☜Dr. Marc Brisson is full professor at Laval University where he leads the Research Group in Mathematical Modeling and Health Economics of Infectious Diseases.☜FFFACD
⇤
Rosalie Edwards
Rosalie Edwards☜Rosalie is a Project Coordinator at the Institute of Health Economics (IHE). She has a Bachelor of Science degree in Chemistry (Honours) from the University of the West Indies, and master’s degrees in Business Administration and Petroleum Technology. She is a certified project management professional (PMP) with experience managing projects in the energy and non-profit sectors.☜FFFACD
⇤
Sasha van Katwyk
Sasha van Katwyk☜Senior Health Economist at the Institute of Health Economics.☜FFFACD
⇤
Thomas Poder
Thomas Poder☜Professor in the School of Public Health, Department of Health Management, Evaluation and Policy at the University of Montreal.☜FFFACD
⇤
Canadian Centre for Health Economics (CCHE)
Canadian Centre for Health Economics (CCHE)☜The Canadian Centre for Health Economics (CCHE) strives to be the focal point for health economics research in Canada. The work of the Centre aims to provide solutions to issues in Canadian health research for those in the academic and policy realms. CCHE was founded to address the lack of a central organization in Canada that gathers analytical techniques and expertise from the field of economics that is focused on health research.☜FFFACD
⇤
Institute of Health Economics
Institute of Health Economics☜The Institute of Health Economics (IHE) is an independent, not-for-profit organization with key competencies in health economics, health technology assessment, and knowledge transfer/exchange. Our mission is to consistently provide relevant, timely and impactful evidence that supports informed health system policy and investment decisions by public and private partners. [1]☜FFFACD
⇤
06 Infection Control during Mass Gathering Events
06 Infection Control during Mass Gathering Events☜Mass gatherings (MG) have the potential to facilitate global spread of infectious pathogens. Individuals from disease-free areas may acquire the pathogen while at the mass gathering site, which in turn could lead to its translocation in the originally disease-free zones when individuals return home.☜FFFACD
⇤
2022/03/10 – Ellen Rafferty & Danica Wolitski
2022/03/10 – Ellen Rafferty & Danica Wolitski☜Effect of the COVID-19 Pandemic on Economic Outcomes within the Health Care Sector.☜FFFACD
⇤
2022/03/24 – Kate Harback
2022/03/24 – Kate Harback☜Not a Monolith: Transportation & the Pandemic☜FFFACD
⇤
2022/05/22 – François Castonguay
2022/05/22 – François Castonguay☜Spatial Allocation of Scarce COVID-19 Vaccines: When Does an Allocation Rule Based on Relative Population Size Perform Well?☜FFFACD
⇤
Economics
Economics☜☜FFFACD
⇤
Caroline Colijn
Caroline Colijn☜Dr. Caroline Colijn works at the interface of mathematics, evolution, infection and public health, and leads the MAGPIE research group. She joined SFUs Mathematics Department in 2018 as a Canada 150 Research Chair in Mathematics for Infection, Evolution and Public Health. She has broad interests in applications of mathematics to questions in evolution and public health, and was a founding member of Imperial College Londons Centre for the Mathematics of Precision Healthcare.☜FFFACD
⇤
Paul Tupper
Paul Tupper☜Professor in the Department of Mathematics at Simon Fraser University.☜FFFACD
⇥
231206 Mortaza Baky Haskuee
231206 Mortaza Baky Haskuee☜Cost-Benefit Analysis of Containment Policies to Control Covid-19.☜FFFACD
□
Actuarial science
Actuarial science☜☜9FDEF6
□
Agent-based models
Agent-based models☜☜9FDEF6
□
Agriculture
Agriculture☜☜9FDEF6
□
Animal health
Animal health☜☜9FDEF6
□
Antimicrobial resistance
Antimicrobial resistance☜☜9FDEF6
□
Arthropods
Arthropods☜☜9FDEF6
□
Artificial intelligence
Artificial intelligence☜☜9FDEF6
□
Bayesian analysis
Bayesian analysis☜☜9FDEF6
□
Bioinformatics
Bioinformatics☜☜9FDEF6
□
Biometrics
Biometrics☜☜9FDEF6
□
Biostatistics
Biostatistics☜☜9FDEF6
□
Cancer
Cancer☜☜9FDEF6
□
Category Theory
Category Theory☜☜9FDEF6
□
Causal inference
Causal inference☜☜9FDEF6
□
Cellular biology
Cellular biology☜☜9FDEF6
□
Chikungunya
Chikungunya☜☜9FDEF6
□
Child health
Child health☜☜9FDEF6
□
Cholera
Cholera☜☜9FDEF6
□
Climate change
Climate change☜☜9FDEF6
□
Clinical trials
Clinical trials☜☜9FDEF6
□
Clostridium difficile
Clostridium difficile☜☜9FDEF6
□
Community health
Community health☜☜9FDEF6
□
Conservation
Conservation☜☜9FDEF6
□
Contact tracing
Contact tracing☜☜9FDEF6
□
COPD
COPD☜☜9FDEF6
□
Covid-19
Covid-19☜☜9FDEF6
□
Data mining
Data mining☜☜9FDEF6
□
Decision making
Decision making☜☜9FDEF6
□
Defence
Defence☜☜9FDEF6
□
Dengue
Dengue☜☜9FDEF6
□
Diabetes
Diabetes☜☜9FDEF6
□
Diagnostic testing
Diagnostic testing☜☜9FDEF6
□
Digital Twins
Digital Twins☜“A digital twin is a digital model of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.” [1]☜9FDEF6
□
Dynamical systems
Dynamical systems☜☜9FDEF6
□
Ebola
Ebola☜☜9FDEF6
□
Ecology
Ecology☜☜9FDEF6
□
Economics
Economics☜☜9FDEF6
□
Energy
Energy☜☜9FDEF6
□
Enteric infections
Enteric infections☜☜9FDEF6
□
Environment
Environment☜☜9FDEF6
□
Equity
Equity☜☜9FDEF6
□
Ethics
Ethics☜☜9FDEF6
□
Finance
Finance☜☜9FDEF6
□
Food safety
Food safety☜☜9FDEF6
□
Food security
Food security☜☜9FDEF6
□
Foot and Mouth Disease
Foot and Mouth Disease☜☜9FDEF6
□
Forest fires
Forest fires☜☜9FDEF6
□
Games
Games☜☜9FDEF6
□
Gender
Gender☜☜9FDEF6
□
Genomics
Genomics☜☜9FDEF6
□
Global health
Global health☜☜9FDEF6
□
Graphs
Graphs☜☜9FDEF6
□
Hepatitis
Hepatitis☜☜9FDEF6
□
HIV
HIV☜☜9FDEF6
□
Homelessness
Homelessness☜☜9FDEF6
□
Human papillomavirus (HPV)
Human papillomavirus (HPV)☜☜9FDEF6
□
Immunology
Immunology☜☜9FDEF6
□
Indigenous health
Indigenous health☜☜9FDEF6
□
Influenza
Influenza☜☜9FDEF6
□
Informatics
Informatics☜☜9FDEF6
□
Insurance
Insurance☜☜9FDEF6
□
Livestock
Livestock☜☜9FDEF6
□
Lyapunov functions
Lyapunov functions☜☜9FDEF6
□
Lyme disease
Lyme disease☜☜9FDEF6
□
Machine learning
Machine learning☜☜9FDEF6
□
Malaria
Malaria☜☜9FDEF6
□
Manufacturing
Manufacturing☜☜9FDEF6
□
Markov chain
Markov chain☜Markov chain Monte Carlo methods (McMC)☜9FDEF6
□
Mental health
Mental health☜☜9FDEF6
□
Microbiology
Microbiology☜☜9FDEF6
□
Mobility
Mobility☜☜9FDEF6
□
Model‐informed drug development
Model‐informed drug development☜☜9FDEF6
□
Mortality
Mortality☜☜9FDEF6
□
Mosquitoes
Mosquitoes☜☜9FDEF6
□
mpox
mpox☜☜9FDEF6
□
Natural resource management
Natural resource management☜☜9FDEF6
□
Neisseria meningitidis
Neisseria meningitidis☜☜9FDEF6
□
Neural networks
Neural networks☜☜9FDEF6
□
Nonpharmaceutical Interventions (NPIs)
Nonpharmaceutical Interventions (NPIs)☜☜9FDEF6
□
Nutrition
Nutrition☜☜9FDEF6
□
Pathogens
Pathogens☜☜9FDEF6
□
Pertussis
Pertussis☜☜9FDEF6
□
Physics
Physics☜☜9FDEF6
□
Pneumonia
Pneumonia☜☜9FDEF6
□
Primary care
Primary care☜☜9FDEF6
□
Probiotics
Probiotics☜☜9FDEF6
□
Psychology
Psychology☜☜9FDEF6
□
Rabies
Rabies☜☜9FDEF6
□
Race
Race☜☜9FDEF6
□
Respiratory infections
Respiratory infections☜☜9FDEF6
□
Respiratory syncytial virus (RSV)
Respiratory syncytial virus (RSV)☜☜9FDEF6
□
SARS
SARS☜☜9FDEF6
□
Schools
Schools☜☜9FDEF6
□
Sentiment analysis
Sentiment analysis☜☜9FDEF6
□
Serosurveillance
Serosurveillance☜☜9FDEF6
□
Sexually transmitted infections
Sexually transmitted infections☜☜9FDEF6
□
Simulation
Simulation☜☜9FDEF6
□
Social determinants
Social determinants☜☜9FDEF6
□
Social networks
Social networks☜☜9FDEF6
□
Sociology
Sociology☜☜9FDEF6
□
Spatio-temporal analysis
Spatio-temporal analysis☜☜9FDEF6
□
Stem cells
Stem cells☜☜9FDEF6
□
Streptococcus pneumoniae
Streptococcus pneumoniae☜☜9FDEF6
□
Substance use
Substance use☜☜9FDEF6
□
Surveillance
Surveillance☜☜9FDEF6
□
Sustainability
Sustainability☜☜9FDEF6
□
Syndemics
Syndemics☜☜9FDEF6
□
Synthesis
Synthesis☜☜9FDEF6
□
Text mining
Text mining☜☜9FDEF6
□
Tuberculosis
Tuberculosis☜☜9FDEF6
□
Vaccination
Vaccination☜☜9FDEF6
□
Wastewater-based surveillance (WBS)
Wastewater-based surveillance (WBS) ☜☜9FDEF6
□
West Nile virus
West Nile virus☜☜9FDEF6
□
Workforce impact
Workforce impact☜☜9FDEF6
□
Zika
Zika☜☜9FDEF6
□
Zoonosis
Zoonosis☜☜9FDEF6
□
Graph of this discussion
Graph of this discussion☜Click this to see the whole debate, excluding comments, in graphical form☜dcdcdc
Enter the title of your article
Enter a short (max 500 characters) summation of your article
Click the button to enter task scheduling information
Open
Enter the main body of your article
Prefer more work space? Try the
big editor
Enter task details
Message text
Select assignee(s)
Due date (click calendar)
RadDatePicker
RadDatePicker
Open the calendar popup.
Calendar
Title and navigation
Title and navigation
<<
<
November 2024
>
<<
November 2024
S
M
T
W
T
F
S
44
27
28
29
30
31
1
2
45
3
4
5
6
7
8
9
46
10
11
12
13
14
15
16
47
17
18
19
20
21
22
23
48
24
25
26
27
28
29
30
49
1
2
3
4
5
6
7
Reminder
No reminder
1 day before due
2 days before due
3 days before due
1 week before due
Ready to post
Copy to text
Enter
Cancel
Task assignment(s) have been emailed and cannot now be altered
Lock
Cancel
Save
Comment graphing options
Choose comments:
Comment only
Whole thread
All comments
Choose location:
To a new map
To this map
New map options
Select map ontology
Options
Standard (default) ontology
College debate ontology
Hypothesis ontology
Influence diagram ontology
Story ontology
Graph to private map
Cancel
Proceed
+Comments (
0
)
- Comments
Add a comment
Newest first
Oldest first
Show threads
+Citations (
2
)
- Citations
Add new citation
List by:
Citerank
Map
+About
- About
Entered by:-
David Price
NodeID:
#708794
Node type:
Interest
Entry date (GMT):
3/10/2023 7:38:00 PM
Last edit date (GMT):
3/10/2023 7:38:00 PM
Show other editors
Incoming cross-relations:
1
Outgoing cross-relations:
23
Average rating:
0
by
0
users
Enter comment
Select article text to quote
Cancel
Enter
welcome text
First name
Last name
Email
Skip
Join
x
Select file to upload