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
Data analysis
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
⌃
Software
Software☜Learn more about the software being used across the EIDM network.☜C78CB7
⌃
Software functionality
Software functionality☜☜8CC79C
■
Data analysis
Data analysis☜☜8CC79C
⇥
Age-Patch Mobility Mixing
Age-Patch Mobility Mixing☜Deriving contact patterns for age & patch mixing, based on recurrent mobility data. [1]☜FFFACD
⇥
COVID-19 Re - Generation Time
COVID-19 Re - Generation Time☜Estimating the effective reproduction number Re(t) for COVID19 in GTA, Canada. [1]☜FFFACD
⇥
Ontario pandemic mobility
Ontario pandemic mobility☜This interactive data tool uses publicly available Google Mobility data to generate graphs displaying overall mobility changes in Ontario. Google typically updates their datasets every 3-5 days, and the new data will contain data points with a 2-3 day lag. ☜FFFACD
⇥
Dempster-Shafer Bayesian Network inference package
Dempster-Shafer Bayesian Network inference package☜DS-BN is a C++ executable that accepts input data related to probabilistic belief networks and Dempster-Shafer belief networks through the use of files. According to provided instructions from one of the files, performs computations and writes inferred probability distributions or Dempster-Shafer models into an output file. [2]☜FFFACD
⇥
diseasemapping
diseasemapping☜[Archived on 21 March 2022]☜FFFACD
⇥
epigrowthfit
epigrowthfit☜epigrowthfit is an R package for fitting nonlinear mixed effects models of epidemic growth to collections of one or more disease incidence time series. It can be applied to birth processes other than epidemics, as the statistical machinery is agnostic to the precise interpretation of supplied count data. epigrowthfit is built on Template Model Builder. [1]☜FFFACD
⇥
EpiILM
EpiILM☜The 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).☜FFFACD
⇥
EpiILMCT
EpiILMCT☜The 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]☜FFFACD
⇥
Estimating the infection fatality rate of Covid-19
Estimating the infection fatality rate of Covid-19☜Estimating the infection fatality rate of Covid-19 using demographics data and deaths records from Italys hardest hit area. [1]☜FFFACD
⇥
geostatsp
geostatsp☜[Archived on 2021-12-09]☜FFFACD
⇥
Hexagonalfan
Hexagonalfan☜An R script that generates a range of hexagonal fan designs. Hexagonal fans are triangular grids in which each successive row of triangles is larger than the previous, by some constant multiplier. Such designs can include a range of both (plant) densities and frequencies in a single plot, providing large economies in space and material for studying local interactions such as competition. However, in practice the fan design can be difficult to implement, hence why we have provided this script.☜FFFACD
⇥
localEM
localEM☜localEM is an R package that implements the kernel smoothing local-EM algorithm for estimating spatial risk on areal disease data. [1]☜FFFACD
⇥
McMasterPandemic
McMasterPandemic☜Compartmental 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).☜FFFACD
⇥
MultiBD
MultiBD☜MultiBD is an R package for direct likelihood-based inference of multivariate birth-death processes. [1]☜FFFACD
⇥
Open Data Model
Open Data Model☜Metadata and code to support covid-19 environmental surveillance for public health. Wastewater-based surveillance for Covid-19, with support for other health risks and environmental settings. [1]☜FFFACD
⇥
pathogen.jl
pathogen.jl☜Simulation, visualization, and inference tools for modelling the spread of infectious diseases with Julia☜FFFACD
⇥
Prediction Codes
Prediction Codes☜Dataset of COVID-19 outbreak and potential predictive features in the USA.☜FFFACD
⇥
python Population Modeller
python Population Modeller☜The pyPM.ca software was developed to study and characterize the CoViD-19 epidemic.☜FFFACD
⇥
PyCoMod
PyCoMod☜PyCoMod 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.☜FFFACD
⇥
Stochastic simulations of classroom-level COVID-19 outbreaks
Stochastic simulations of classroom-level COVID-19 outbreaks☜This repository contains code associated with a preprint exploring COVID-19 outbreaks in classrooms, and how these might be managed with several different protocols: COVID-19s unfortunate events in schools: mitigating classroom clusters in the context of variable transmission. [1]☜FFFACD
□
Agent-based
Agent-based☜☜8CC79C
□
Compartmental
Compartmental☜☜8CC79C
□
Deterministic
Deterministic☜☜8CC79C
□
Fitting dynamical models to data
Fitting dynamical models to data☜☜8CC79C
□
Simulation
Simulation☜☜8CC79C
□
Stochastic
Stochastic☜☜8CC79C
□
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
<<
<
July 2024
>
<<
July 2024
S
M
T
W
T
F
S
27
30
1
2
3
4
5
6
28
7
8
9
10
11
12
13
29
14
15
16
17
18
19
20
30
21
22
23
24
25
26
27
31
28
29
30
31
1
2
3
32
4
5
6
7
8
9
10
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 (
0
)
- Citations
Add new citation
List by:
Citerank
Map
+About
- About
Entered by:-
Steven Walker
NodeID:
#686174
Node type:
Function
Entry date (GMT):
10/7/2021 1:44:00 PM
Last edit date (GMT):
10/7/2021 1:44:00 PM
Show other editors
Incoming cross-relations:
20
Outgoing cross-relations:
0
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