Behaviour

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.

  • One way to partially account for these behaviours in a model is to include covariates such as Google mobility data to account for changes in population mobility, or vaccine uptake. However, such measures may miss out on important subpopulations (e.g., those who do not carry cell phones),behaviours such as mask wearing and a range of risk factors.
RELATED ARTICLESExplain
EIDM 
Networks
CANMOD 
CANMOD – Research
Behaviour
Covid-19
23/11/15 Rebecca Tyson
23/11/16 Brian Gaas
23/11/16 Madeline Ward
23/11/16 Rob Deardon
2022/04/05 Jorge Velasco-Hernandez
CANMOD – Publications
Genomics
Heterogeneity and syndemics
Smaller jurisdictions
Testing
Vaccination
Graph of this discussion
Enter the title of your article


Enter a short (max 500 characters) summation of your article
Enter the main body of your article
Lock
+Comments (0)
+Citations (0)
+About
Enter comment

Select article text to quote
welcome text

First name   Last name 

Email

Skip