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Mathematics for Life Sciences and Medicine - Takeuchi Iwasa and Sato

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226 Index

evolutionary change 162 exponential

delay 197 kernel 197

fatality 37

 

 

 

 

force

75

 

 

 

 

 

force of infection

 

155, 169

global stability

166

graphical representation 161

helper T cell

 

167

 

hepatitis B virus

 

155

hepatitis C virus

 

155

heterogeneity

 

91

 

Hopf bifurcation

 

62, 194

host

123–126, 128, 129, 132, 133,

139, 145

 

 

 

 

human immunodeficiency virus

(HIV)

155

 

immigration

 

36, 68, 76

immune cell

 

168

 

immune impairment 162, 167, 170

immune response

 

156, 157

immune selection

 

169

immunity

9, 20

 

 

adaptive

177

 

 

cross-immunity

124, 125, 127, 146

innate

177

 

 

 

immunotherapy

218

impairment of immune

response

157

impulses

29

 

 

 

 

incidence

12, 15, 17, 19, 24, 39, 40, 79,

82, 128, 131, 146

mass action

132, 138, 142, 144,

146, 147

 

 

 

 

standard

124, 132, 139, 140, 142,

144, 146, 147

 

infection

5, 11, 33, 78

infection rate

 

157

infective

8, 69

 

 

infectivity

31, 33, 39

input

10

 

 

 

 

 

integral equation

 

98, 118

invade

74

 

 

 

 

invariant principle

56

invasibility 159

invasion

162

isoclines

210

Jury 81, 85

Kendall model 98, 100, 101

Kermack–McKendrik model 98

kernels

 

 

 

 

exponential

180

uniform

180

Liapunov functionals 61

measures

18, 41, 42

metastasis

220

migration

34, 70, 76, 87

mixing

 

91

 

 

mobility

87, 89

mosquitoes

71, 72

movements

92

 

multi-patch

69, 91

o springs

26

 

outbreak

43

 

parasite

123–125, 129, 130

replication rate 137

strain

124, 138, 145, 146

patch

35, 68, 71, 73, 81, 83, 85, 88

pathogenicity

155–157

patients

38, 42

period

14

 

 

permanence

51, 58, 59, 64, 84

persistence

147

strong

145, 149

persistent

 

 

weakly

133

 

population

7, 23, 24, 89

positivity

 

 

solution

184

predator

34

 

prevalence

139, 141, 142, 144, 147

prevention

42

 

prey

34

 

 

 

probability

23, 39, 40

propagation

67

quarantine

18, 37, 40

R

 

 

 

 

 

maximization

129

R

 

 

 

 

 

maximization

146, 147

R

140

 

 

 

1

 

 

 

R0

 

 

 

 

 

maximization

124

radius

83, 90

 

 

recovery

27

 

 

replacement ratio

 

basic

124, 125, 127, 128, 138,

 

142, 146

 

 

maximal 124, 128, 135, 146

net

139–141, 144, 147

relative

127, 128, 130, 133, 137

reproduction

13, 17, 77, 79, 80, 90, 92

reproduction number 124, 127

residence

86, 88

 

risk

81

 

 

 

SEIR models

53

 

SEIRS models

53

selection

141, 142

functional

127, 134

semiflow

134, 137, 148

SI models

53

 

SIR model

51–53

SIRS model

53

 

SIS model

51, 53

 

sojourn

127, 133, 137

spread

20, 38, 80

 

stability

16, 19, 25, 51, 53, 70, 85

globally

55–57, 59, 63

local

190

 

 

locally

55, 56, 63

stages

29

 

 

strategy

36

 

 

structure

26, 28, 74, 77

susceptibility

32

 

switch

 

 

 

 

 

 

 

 

Index

227

stability

 

191

 

 

system

 

 

 

 

 

delay di erential equation 199

 

equivalent

 

199

 

 

target cell dependence

167

 

threshold

13, 51, 58, 63, 84

 

time delay

 

51, 53, 54, 56

 

discrete

54

 

 

 

distributed

54, 56, 58

 

infinite

55

 

 

 

timing

 

 

 

 

 

immune

 

178

 

 

response

 

178

 

 

total force of infection

160, 162

 

trade o s

129

 

 

transmissibility

 

 

vertical

147

 

 

transmission

 

7, 10, 22, 28, 30, 72,

 

137, 145

 

 

 

horizontal

142, 146, 147

 

propagule

128, 146

 

 

vertical

131, 142, 143, 146

 

waterborne

128

 

 

traveling wave

98, 101, 108, 114,

 

117–119

 

 

 

treatment

 

 

 

 

 

continuous

215

 

 

periodic

 

218

 

 

vaccination

 

18, 19, 24, 31

 

vector-disease model

98, 109, 118

 

viral epitope

 

156

 

 

viral strain

 

168

 

 

virulence

124, 131, 145, 146

 

management

123, 129

 

virus 8

 

 

 

 

 

virus evolution

155

 

 

virus induced impairment 155