Epidemic modelling – Some notes, maths, and code
Epidemic modelling – Some notes, maths, and code
Models and modelling
Disease progression
Compartmented models
Network models
Making fewer connections
Contact tracing
Epidemic threshold
Human contact networks
Herd immunity
Changing individual susceptibility
Asymptomatic transmission
Physical distancing
Conclusion
To find out more
References
Index
Notes on production
Acknowledgements
About the author
Copyright
Print copies
repository
Index
A

C

D

E

F

G

H

I

K

L

M

N

P

Q

R

S

T

V

W
A
adaptive network
adjacency
asymptomatic transmission
averaging
C
chickenpox
compartment
exposed
infected
removed
susceptible
compartmented model
,
[1]
complete graph
,
[1]
,
[2]
complete mixing
,
[1]
computer virus
configuration model
contact
,
[1]
contact bubbles
,
[1]
contact network
,
[1]
,
[2]
,
[3]
contact tracing
,
[1]
contact tree
contacts
correctness
,
[1]
,
[2]
countermeasures
,
[1]
,
[2]
,
[3]
,
[4]
,
[5]
covid19
,
[1]
D
degree
,
[1]
,
[2]
degree distribution
,
[1]
,
[2]
degrees of freedom
,
[1]
,
[2]
,
[3]
difference equation
disease progression
incubation period
infection
infectious period
latent period
resolution
distribution
exponential
normal
,
[1]
,
[2]
powerlaw
E
ebola
,
[1]
edges
epidemic
epidemic threshold
epidemiology
,
[1]
ER network
,
[1]
events
exposed
infected
,
[1]
removed
exponential growth
,
[1]
F
flattening the curve
G
generation
graph metrics
growth rate
H
herd immunity
,
[1]
,
[2]
hubs
I
immunity
influenza
,
[1]
,
[2]
integration
K
k mean
see mean degree
L
long tail
M
malaria
,
[1]
mean degree
,
[1]
,
[2]
measles
,
[1]
,
[2]
model
models
abstract
assumptions
computational
,
[1]
mathematical
,
[1]
N
neighbours
,
[1]
network
nodes
P
pandemic
parameter
,
[1]
,
[2]
,
[3]
,
[4]
,
[5]
partial immunity
,
[1]
,
[2]
pathogen
pathology
patient zero
percolation
physical distancing
,
[1]
powerlaw network
with cutoff
,
[1]
Q
quarantine
,
[1]
,
[2]
,
[3]
,
[4]
,
[5]
,
[6]
R
R value
,
[1]
,
[2]
,
[3]
random numbers
,
[1]
residual network
rewiring
S
SARS
seeding
,
[1]
seeding with infection
SEIR
,
[1]
,
[2]
,
[3]
sensitivity
,
[1]
,
[2]
,
[3]
,
[4]
seperatrix
simulation
,
[1]
,
[2]
SIR
,
[1]
,
[2]
,
[3]
,
[4]
,
[5]
,
[6]
,
[7]
,
[8]
SIS
,
[1]
size effect
skewness
social network
see contact network
Spanish flu
,
[1]
standard deviation
stochastic process
,
[1]
,
[2]
superspreaders
,
[1]
,
[2]
T
targetted vaccination
test, trace, and isolate
,
[1]
testing
threshold
,
[1]
topology
,
[1]
transamission
transmission
,
[1]
modes of transmission
Typhoid Mary
V
vaccine
,
[1]
,
[2]
variance
,
[1]
version control
W
whooping cough
wicked problems