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K - College of Natural Resources - University of California, Berkeley

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∞<br />

∫<br />

0<br />

− u(<br />

1−s<br />

) () s = e f ( u)<br />

g<br />

where fv(u) is the pdf <strong>of</strong> the individual reproductive number ν for the outbreak in<br />

question.<br />

For a control strategy C : [0,∞) → [0,1] in which the probability <strong>of</strong> absolutely<br />

controlling a case with individual reproductive number ν is C(ν), the pgf <strong>of</strong> the<br />

branching process becomes<br />

where<br />

g<br />

ν<br />

du<br />

C<br />

∞<br />

∫<br />

0<br />

ν<br />

−u<br />

( 1−s<br />

) () s = c + e ( − C(<br />

u)<br />

) f ( u)<br />

∞<br />

∫<br />

0<br />

1 du<br />

( u)<br />

f ( u)<br />

c = C ν<br />

is the fraction <strong>of</strong> individuals controlled on average. For example, randomized absolute<br />

(RA) control corresponds to choosing C(ν)=c for all ν. Maximally-targeted control, in<br />

which the top c × 100% <strong>of</strong> infectious individuals are controlled absolutely, corresponds<br />

to choosing<br />

where νc satisfies<br />

∞<br />

∫<br />

ν c<br />

f<br />

ν<br />

( u)<br />

du = c.<br />

C<br />

( ) ⎨<br />

⎩ ⎧<br />

ν =<br />

0<br />

1<br />

du<br />

if ν < ν<br />

if ν ≥ν<br />

Note that when ν is gamma-distributed with mean R0 and shape parameter k, the<br />

pgf under maximally-targeted control is<br />

g<br />

max<br />

⎛<br />

⎜<br />

⎝<br />

R<br />

k<br />

0<br />

() s = c + 1+<br />

( 1−<br />

s)<br />

⎞<br />

⎟<br />

⎠<br />

−k<br />

143<br />

⎛ Γ<br />

⎜1−<br />

⎝<br />

c<br />

c<br />

( k,<br />

ν c ( k R0<br />

+ 1−<br />

s)<br />

)<br />

Γ(<br />

k)<br />

⎞<br />

⎟<br />

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