Views
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
Page ✓
Article
Outline
Document
Down
All
Canvas
Time
Timeline
Calendar
Request email digest
Past 24 hours
Past 2 days
Past 3 days
Past week
Add
Add page
Add comment
Add citation
Edit
Edit page
Delete page
Share
Link
Bookmark
Embed
Social media
Login
Member login
Register now for a free account
🔎
SMMEID – Projects
Project
1
#701113
Λεπτομέρειες πλοηγού
(Βοήθεια)
-
EIDM »
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
▲
Networks »
Networks
Networks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9
▲
SMMEID »
SMMEID
SMMEID☜This project assembles the top biostatisticians in Canada working on infectious diseases, and joins them with epidemiologists developing novel methods for data collection during the COVID-19 pandemic. Our group is developing methods and tools to get an accurate picture of the nature and extent of infectious disease transmission in the population, relying on real-world data from administrative sources and surveys. [2]☜79B9B9
■
SMMEID – Projects
SMMEID – Projects☜☜70BEA3
●
01 Imperfect testing and serosurveys »
01 Imperfect testing and serosurveys
01 Imperfect testing and serosurveys☜Projects in this node of the network involve developing statistical methods for analyzing infectious disease data, both in the context of the COVID-19 pandemic and other contexts. Goals include addressing various challenging issues associated with noisy data, including heterogeneity, varying incubation times, reporting errors, imperfect test specificity and sensitivity, and missing values.☜70BEA3
●
02 COVID mortality forecasting »
02 COVID mortality forecasting
02 COVID mortality forecasting☜An existing forecasting model is made up of multiple waves, each of which follows the shape of a skew-normal density function, with model fitting done with Bayesian MCMC. A challenge of working with this model is the large number of latent variables which are not Gaussian. The model will be extended to make spatio-temporal forecasts, and improved algorithms for handling waves of infections must be built. Methods for handling censored, aggregated, and age-specific death counts are also required.☜70BEA3
●
03 Modelling emerging infectious disease »
03 Modelling emerging infectious disease
03 Modelling emerging infectious disease☜The project will primarily focus on stochastic compartmental models and their applications in phylodynamics. A fundamental challenge for stochastic compartmental models is that the likelihood function is intractable. Our goal is to develop efficient methods for making inferences under these models.☜70BEA3
●
04 Estimating COVID-19 prevalence in homeless populations »
04 Estimating COVID-19 prevalence in homeless populations
04 Estimating COVID-19 prevalence in homeless populations☜We will develop novel statistical models for estimating the abundance of hidden populations. Specifically, we will consider challenges associated with using Electronic Health Records to obtain estimates for populations at risk such as homeless populations under the COVID-19 pandemic.☜70BEA3
●
05 Hidden Markov Individual-level Models of Disease Transmission »
05 Hidden Markov Individual-level Models of Disease Transmission
05 Hidden Markov Individual-level Models of Disease Transmission☜We will develop a hidden Markov modelling framework for individual-level models of disease transmission. Such an approach allows for the incorporation of individual-level covariates, including spatial or network-based distance, as well as delayed and under-reporting of cases. Models developed will be used to gain a greater understanding of the epidemiology of diseases such as COVID-19, influenza and Ebola.☜70BEA3
●
06 Daily air pollution and mortality »
06 Daily air pollution and mortality
06 Daily air pollution and mortality☜The ultimate goal of the project is to create a new air quality warning system for Canada. [Note: this project is not funded by the Emerging Infectious Diseases network.]☜70BEA3
●
07 Small-area estimation and serosurveys »
07 Small-area estimation and serosurveys
07 Small-area estimation and serosurveys☜This project will develop novel statistical models for infectious diseases to address some challenges in terms of prevalence rate of infection in different small areas and domains in Canada due to COVID-19 pandemic.☜70BEA3
●
08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada »
08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada
08 Spatial-Temporal Modeling of COVID-19 Adverse Outcomes in Canada☜The aims of the research are to (1) identify localised risk factors for increased severe conditions for COVID-19 (2) identify localised areas in space–time at significantly higher risk, and (3) quantify the impact of changes in localised restriction policies on adverse outcomes and forecast the epidemic.☜70BEA3
Heading
Summary
Click the button to enter task scheduling information
Open
Details
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
+Σχόλια (
0
)
- Σχόλια
Προσθήκη σχολίου
Newest first
Oldest first
Show threads
+Αναφορές (
0
)
- Αναφορές
Προσθήκη αναφοράς
List by:
Citerank
Map
+About
- About
Προστέθηκε από:-
David Price
NodeID:
#701113
Node type:
Project
Ημερ/νία δημιουργίας(GMT):
9/19/2022 9:21:00 PM
Ημερ/νία τελευτ. επεξεργασίας(GMT time):
9/19/2022 9:21:00 PM
Show other editors
Εισερχόμενες συνδέσεις ιδεών:
0
Εξερχόμενες συνδέσεις ιδεών:
0
Μέση βαθμολογία:
0
by
0
χρήστες
x
Select file to upload