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Epidemic Models Beverly Lewis
64

Epidemic Models

Jan 01, 2017

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Page 1: Epidemic Models

Epidemic Models

Beverly Lewis

Page 2: Epidemic Models

MODEL

Page 3: Epidemic Models

MODEL

Model Cars

Page 4: Epidemic Models

MODEL

Model Cars

Architectural Models

Page 5: Epidemic Models

MODEL

Model Cars

Architectural Models

Super Models

Page 6: Epidemic Models

For something to be a model it must meet

the following conditions:

Page 7: Epidemic Models

For something to be a model it must meet

the following conditions:

There is some collection of components of a model that

correspond to a component of the object being modeled.

Page 8: Epidemic Models

For something to be a model it must meet

the following conditions:

There is some collection of components of a model that

correspond to a component of the object being modeled.

For example:

A model car has

a hood, tires, and

doors.

A real car has a

hood, tires, and

doors.

Page 9: Epidemic Models

For something to be a model it must meet

the following conditions:

There is some collection of components of a model that

correspond to a component of the object being modeled.

There must be some relationship between set of aspects of the

model such that the set of aspects in the object being modeled

have the same relationship.

Page 10: Epidemic Models

For something to be a model it must meet

the following conditions:

There is some collection of components of a model that

correspond to a component of the object being modeled.

There must be some relationship between set of aspects of the

model such that the set of aspects in the object being modeled

have the same relationship.

For example:

A model car has

two doors that

are between two

fenders.

A real car has

two doors that

are between two

fenders.

Page 11: Epidemic Models

Every aspect of the object being modeled in also

an aspect of the model.

For Something to be a Model it Does Not

Require:

Page 12: Epidemic Models

Every aspect of the object being modeled in also

an aspect of the model.

For Something to be a Model it Does Not

Require:

For example:

A real car has an

engine that runs.

A model car does

not have an

engine that runs.

Page 13: Epidemic Models

Every aspect of the object being modeled in also

an aspect of the model.

Every relationship between a set of aspects of the

model does not have to have a corresponding

relationship between the set of aspect for the

object being modeled .

For Something to be a Model it Does Not

Require:

Page 14: Epidemic Models

Every aspect of the object being modeled in also

an aspect of the model.

Every relationship between a set of aspects of the

model does not have to have a corresponding

relationship between the set of aspect for the

object being modeled .

For example:

A real car has

leather seats

with tan seat

belts.

A model car

has cloth seats

with black seat

belts.

For Something to be a Model it Does Not

Require:

Page 15: Epidemic Models

Kermack -McKendrick Model

or

SIR Model

Page 16: Epidemic Models

Susceptible

Infected

Removed

Three Classes for the SIR

Model

Page 17: Epidemic Models

The following are the assumptions

made by the SIR Model.

Page 18: Epidemic Models

The increase in the number of the infective class is “at a rate

proportional to the number of infectives and susceptibles.”

Page 19: Epidemic Models

The increase in the number of the infective class is “at a rate

proportional to the number of infectives and susceptibles.”

Susceptibles

S

-rSI

rSI

Infected

I

Removed

R

Where r is a constant and

greater than 0.

Page 20: Epidemic Models

This model also assumes that the incubation period of the

disease “is short enough to be negligible.”

Page 21: Epidemic Models

The rate of removal from the infectives into the removed class “is

proportional to the number of infectives.”

Page 22: Epidemic Models

The rate of removal from the infectives into the removed class “is

proportional to the number of infectives.”

Susceptibles

S

-rSI

rSI

Infected

I

Removed

R

Where a is a constant and

greater than 0.

-aI

aI

Page 23: Epidemic Models

“Assuming that every individual has equal probability of

coming into contact with one another, the model becomes

dS/dt = -rSI

dI/dt = rSI - aI

dR/dt = aI

Page 24: Epidemic Models

Samuel Harvey Fryer’s

Typhoid Fever Models

Page 25: Epidemic Models

Causes of Typhoid Fever

A “bacterial infection of the intestinal tract and

occasionally the bloodstream”

Caused by Salmonella Typhi

Spread by ingesting food or water that is

contaminated with the human waste of an

infected individual

Page 26: Epidemic Models

Symptoms of Typhoid Fever

Fever

Headache

Constipation or Diarrhea

Enlarged Spleen and Liver

Page 27: Epidemic Models

Assumptions Made by Fryer

“The population is assumed to be of constant size which is sufficiently

large so that the sizes of the classes can be considered as continuous

variables

Page 28: Epidemic Models

Assumptions Made by Fryer

“The population is assumed to be of constant size which is sufficiently

large so that the sizes of the classes can be considered as continuous

variables

“The population is assumed to be uniform and homogeneously mixing in

such a way that exposure to typhoid occurs equally and uniformly

throughout the population.”

Page 29: Epidemic Models

Model 1

dS/dt = -aIS +bS

dI/dt = aIS + bS - fI

dR/dt = fI

where a is “an infectious contact rate”

b is rate of infective contact with the source

f is daily removal rate

Page 30: Epidemic Models

Model 3

Susceptible

Exposed

Carrier

Infective

Removed

Page 31: Epidemic Models

Model 3

Movement Through Classes

S - E - C - R

or

S - E - I - R

Page 32: Epidemic Models

Actual Data of Cape Town

Epidemic

Page 33: Epidemic Models

Actual Data of Grossaitingen

Epidemic

Page 34: Epidemic Models

Model Comparison for Cape Town

Page 35: Epidemic Models

Model Comparison for

Grossaitingen

Page 36: Epidemic Models

William H. Hamer’s London

Measles Epidemic Model

Page 37: Epidemic Models

Causes of the Measles

Respiratory infection caused by a virus

Spread in fluid from the mouth and nose or

airborne droplets

Page 38: Epidemic Models

Symptoms of the Measles

Runny Nose

High Fever

Hacking Cough

Skin Rash

Page 39: Epidemic Models

Two Classes for Hamer’s Model

Susceptible

Infected

Page 40: Epidemic Models

The following are assumptions

made by Hamer

Page 41: Epidemic Models

“There is a constant replenishment of susceptibles via newborns.” This

“constant replenishment” is represented by a.

Page 42: Epidemic Models

Susceptible

X

a

“There is a constant replenishment of susceptibles via newborns.” This

“constant replenishment” is represented by a.

Infected

Y

Page 43: Epidemic Models

“The rate of new cases is jointly proportional to the number of

susceptibles and the number ill.”

Page 44: Epidemic Models

Susceptible

X

a

“The rate of new cases is jointly proportional to the number of

susceptibles and the number ill.”

bXY Infected

Y

Page 45: Epidemic Models

“The number of persons recovering was proportional to the number ill.”

Page 46: Epidemic Models

Susceptible

X

a

“The number of persons recovering was proportional to the number ill.”

bXY

cY

Infected

Y

Page 47: Epidemic Models

“Those not yet recovered were assumed equally contagious over

the duration of the illness.”

“People who have recovered from a bout with measles are

assumed to be immune and are no longer contributing to the

spread of disease.”

Page 48: Epidemic Models

a is the rate of increase of the susceptibles

b is the rate of transmission

c is the removal rate

Constants used in Hamer’s Model

a, b, and c are all greater than 0.

Page 49: Epidemic Models

Hamer’s Measles Model

dX/dt = a - bXY

dY/dt = bXY - cY

Page 50: Epidemic Models

Values for Constants

a = 2200

b = 1 / 300000

c = 1 / 2

Page 51: Epidemic Models

Hamer’s Measles Model

dX/dt = 2200 - (1 / 300000)XY

dY/dt = (1 / 300000)XY - (1 /2)Y

Page 52: Epidemic Models

200 400 600 800 1000 1200

50000

100000

150000

200000

250000

Solutions to Hamer’s Model

Page 53: Epidemic Models

200 400 600 800 1000 1200

140000

145000

150000

155000

160000

165000

Number of Suceptibles

Page 54: Epidemic Models

200 400 600 800 1000 1200

2000

4000

6000

8000

10000

Number of Infected

Page 55: Epidemic Models

H. E. Sopher

Page 56: Epidemic Models

H. E. Sopher

“…In this research I was merely following up

the trail blazed by Sir William Hamer more than

twenty years ago only in detail departing from

his methods…”

Page 57: Epidemic Models

Added Assumptions made by Sopher

Point infection law states “that newly infecteds must pass through an

incubation period before they can transmit the disease and once this

incubation period has passed, for all practical purposes they can transmit

the disease only for an instant.”

Page 58: Epidemic Models

Added Assumptions made by Sopher

Point infection law states “that newly infecteds must pass through an

incubation period before they can transmit the disease and once this

incubation period has passed, for all practical purposes they can transmit

the disease only for an instant.”

“All ill persons have same length incubation period” or an average

incubation period.

Page 59: Epidemic Models

Sopher’s Model

11

1

kkk

kkk

yaxx

ybxy

Page 60: Epidemic Models

Constants and Initial Conditions

used by Sopher

a= 1,000

b = 1 / 40,000

x(0) = 40,000

y(0) = 4,000

Page 61: Epidemic Models

Sopher’s Model

11

1

1000

40000

1

kkk

kkk

yxx

yxy

Page 62: Epidemic Models

20 40 60 80 100

1000

2000

3000

4000

Number of Infected

Page 63: Epidemic Models

20 40 60 80 100

35000

40000

45000

50000

Number of Susceptibles

Page 64: Epidemic Models

These are just a few examples of epidemic

models. There have been many done in the past

and will be many done in the future to learn

more about epidemics.