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 â
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
đ
Fitting dynamical models to data
Function
1
#686169
PAGE NAVIGATOR
(Help)
-
EIDMâ »
EIDMâ
EIDMââThe Emerging Infectious Diseases Modelling Initiative (EIDM) â by the Public Health Agency of Canada and NSERC â 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]âF1CEB7
▲
Software »
Software
SoftwareâLearn more about the software being used across the EIDM network.âC78CB7
▲
Software functionality »
Software functionality
Software functionalityââ8CC79C
■
Fitting dynamical models to data
Fitting dynamical models to dataââ8CC79C
►
Dynamical systems »
Dynamical systems
Dynamical systemsââFFFACD
◄
COVID Prevalence Estimate »
COVID Prevalence Estimate
COVID Prevalence EstimateâAn implementation of Bayesian inference and prediction of COVID-19 point-prevalence.âFFFACD
◄
covidseir »
covidseir
covidseirâcovidseir fits a Bayesian SEIR (Susceptible, Exposed, Infectious, Recovered) model to daily COVID-19 case data. The package focuses on estimating the fraction of the usual contact rate for individuals participating in physical distancing (social distancing). The model is coded in Stan. The model can accommodate multiple types of case data at once (e.g., reported cases, hospitalizations, ICU admissions) and accounts for delays between symptom onset and case appearance. [1]âFFFACD
◄
diseasemapping »
diseasemapping
diseasemappingâ[Archived on 21 March 2022]âFFFACD
◄
EpiILM »
EpiILM
EpiILMâThe R package EpiILM provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).âFFFACD
◄
EpiILMCT »
EpiILMCT
EpiILMCTâThe R package EpiILMCT provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks. [2]âFFFACD
◄
geostatsp »
geostatsp
geostatspâ[Archived on 2021-12-09]âFFFACD
◄
localEM »
localEM
localEMâlocalEM is an R package that implements the kernel smoothing local-EM algorithm for estimating spatial risk on areal disease data. [1]âFFFACD
◄
Mathematical epidemiology in a data-rich world »
Mathematical epidemiology in a data-rich world
Mathematical epidemiology in a data-rich worldâAn exciting trend for modellers, which started 5â10 years ago and is becoming increasingly common, are open data initiatives. Such initiatives see governments (local or higher) create portals where data is centralised and made accessible, usually with very few constraints.âFFFACD
◄
McMasterPandemic »
McMasterPandemic
McMasterPandemicâCompartmental epidemic models for forecasting and analysis of infectious disease pandemics: contributions from Ben Bolker, Jonathan Dushoff, David Earn, Weiguang Guan, Morgan Kain, Michael Li, Irena Papst, Steve Walker (in alphabetical order).âFFFACD
◄
MultiBD »
MultiBD
MultiBDâMultiBD is an R package for direct likelihood-based inference of multivariate birth-death processes. [1]âFFFACD
◄
pathogen.jl »
pathogen.jl
pathogen.jlâSimulation, visualization, and inference tools for modelling the spread of infectious diseases with JuliaâFFFACD
◄
python Population Modeller »
python Population Modeller
python Population ModellerâThe pyPM.ca software was developed to study and characterize the CoViD-19 epidemic.âFFFACD
◄
PyCoMod »
PyCoMod
PyCoModâPyCoMod is a Python package for building and running compartment models derived from systems of differential equations such as the Susceptible-Infectious-Recovered (SIR)model of infectious diseases.âFFFACD
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
+Commentaar (
0
)
- Commentaar
Voeg commentaar toe
Newest first
Oldest first
Show threads
+Citaten (
0
)
- Citaten
Voeg citaat toe
List by:
Citerank
Map
+About
- About
Gemaakt door:
Steven Walker
NodeID:
#686169
Node type:
Function
Gemaakt op (GMT):
10/7/2021 1:42:00 PM
Laatste bewerking (GMT):
10/7/2021 1:42:00 PM
Show other editors
Inkomende kruisrelatie
13
Uitgaande kruisrelatie
1
Gemiddelde waardering:
0
by
0
gebruikers
x
Select file to upload