Details view: 23/11/15 Rebecca Tyson

Views
Add
Edit
- Edit page
- Delete page
Share
Login
- Member login
- Register now for a free account
🔎

23/11/15 Rebecca Tyson Document1 #715362 Opinion dynamics: Mechanisms for multiple epidemic waves.

CONTEXT(Help)

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 »NetworksNetworks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9

▲

CANMOD »CANMOD CANMOD ☜CANadian Network for MODelling infectious Disease / Réseau CANadien de MODélisation des maladies infectieuses☜79B9B9

▲

CANMOD – Training »CANMOD – TrainingCANMOD – Training☜We are building expertise amongst the next generation of infectious disease modellers, and preparing them for careers in academia, industry, and the public sector.☜AECCD8

▲

23/11/12 CANMOD: Progress and Next Steps »23/11/12 CANMOD: Progress and Next Steps23/11/12 CANMOD: Progress and Next Steps☜The Banff International Research Station will host the The Canadian Network for Modelling Infectious Diseases: Progress and Next Steps workshop in Banff from November 12 to November 17, 2023. Organizers: David Earn (McMaster University), Caroline Colijn (Simon Fraser University), Irena Papst (Public Health Agency of Canada).☜E883B6

■

23/11/15 Rebecca Tyson23/11/15 Rebecca Tyson☜Opinion dynamics: Mechanisms for multiple epidemic waves.☜B5ACA0

►

Behaviour »BehaviourBehaviour☜In infectious disease outbreaks we often see the population reacting to outbreak severity, changing the transmission dynamics over time. For example, the COVID-19 pandemic has led to voluntary and government-mandated physical distancing across the world, which slows spread. Further, we see these behaviours relax when case counts are low and increase when high.☜FFFACD

►

Mathematical modelling of human response behaviour during pandemics »Mathematical modelling of human response behaviour during pandemicsMathematical modelling of human response behaviour during pandemics☜Mathematical modelling of human response behaviour, opinion dynamics, and social influence during pandemics. COVID-19 showed that understanding human response to intervention is essential in mitigating disease spread and forming policy. We are particularly interested in understanding how opinion influence affects vaccine and NPI hesitancy. This project aims to incorporate a broader understanding of intervention and control, which embodies the entire theme.☜FFFACD

Heading

Summary

Click the button to enter task scheduling information

Details

Enter task details

Message text

Select assignee(s)

Due date (click calendar)

RadDatePicker

Open the calendar popup.

Calendar

Title and navigation
Title and navigation
<<	<	April 2024	>	<<

April 2024
	S	M	T	W	T	F	S
14	31	1	2	3	4	5	6
15	7	8	9	10	11	12	13
16	14	15	16	17	18	19	20
17	21	22	23	24	25	26	27
18	28	29	30	1	2	3	4
19	5	6	7	8	9	10	11

Reminder

Ready to post Copy to text

Task assignment(s) have been emailed and cannot now be altered

Lock

Comment graphing options

Choose comments:Comment onlyWhole threadAll comments

Choose location:To a new mapTo this map

New map options

Select map ontology Graph to private map

+Comments (0)

- CommentsAdd a commentNewest firstOldest firstShow threads

+Citations (0)

- CitationsAdd new citationList by: CiterankMap

+About

- About

Entered by:- David Price
NodeID: #715362
Node type: Document
Entry date (GMT): 11/16/2023 5:29:00 PM
Last edit date (GMT): 11/16/2023 5:30:00 PM
Show other editors
Incoming cross-relations: 0
Outgoing cross-relations: 2
Average rating: 0 by 0 users

x Select file to upload