the cost-effectiveness of contact tracing for endemic...

1
Abstract Contact tracing is an important intervention for diseases such as TB, HIV, and other STDs (for which it is often called partner notification). However, its cost-effectiveness has not been modeled much. Using a stylized compartmental model of an endemic disease we show that contact tracing is a cost- effective alternative to screening when the disease prevalence is below some threshold. Using a more detailed simulation model of disease spread on a network, we show how to determine the optimal level of investment in contact tracing. Introduction What is contact tracing? goal: find additional infected persons method: given an infected case, find its contacts and test them for the disease also known partner notification for HIV and other STDs What diseases is it used for? TB, HIV, other STDs. In the US it is required that health departments contact trace TB. The CDC recommends it for HIV. It is also practiced for other STDs. What are the alternatives? Screening, vaccination, behavior change. What are the tradeoffs? Contact tracing is labor intensive but is likely to find infected people. What has been done so far? Small empirical studies and models of effectiveness but not of costs. Related work: Contact tracing is also done for epidemics such as SARS and the avian flu. It is related to ring vaccination. Conclusions Contact tracing is part of the optimal strategy when the disease prevalence is below a threshold. This threshold depends on the relative cost per case found by screening versus contact tracing. Investment in contact tracing has diminishing returns to scale. These models (appropriately tailored) provide a useful policy tool. Little is known about the actual network structure for a particular disease and more research is needed. References www.stanford.edu/~barmbrus Optimal mix of screening and contact tracing for endemic diseases. Mathematical Biosciences. In press. Contact Tracing to Control Infectious Disease: When Enough is Enough. Health Care Management Science. In press. Authors Benjamin Armbruster [email protected] Ph.D. student Margaret L. Brandeau [email protected] Supported by the NSF and the National Institute on Drug Abuse extended SIR model + small-world network of contacts Intervention 1: random screening at rate λ reduces prevalence at rate λp cost per capita is λ(C S +C t p) Intervention 2: contact tracing δ=1 if program exists, 0 if it does not K T number of infected contacts per index case δK T (λp+ ω(p)) total •C T cost per index case, δC T (λp+ ω(p)) prevalence p(t)' = f(p(t),λ(t),δ(t)) = [βp(1 p)+η] −μp (1+δK T )(λp+ ω(p)) cost per capita C(λ,δ;p) = ω(p)C t +λ(C S +C t p) +δ C T (λp+ω(p)) Minimizing Cost per Capita 1.Cost of finding n infected persons prevalence given and fixed (n small) 2.Long-term (steady-state) cost prevalence given and fixed 3.Total cost includes cost of untreated disease initial prevalence given λ(t) and δ(t) vary with time α = cost of 1 case of untreated disease per year Results In all 3 formulations, contact tracing optimal if and only if p < P' , P'=C S /(C T / K T C t ). The Cost-Effectiveness of Contact Tracing for Endemic Diseases Benjamin Armbruster and Margaret L. Brandeau Stanford University When is Contact Tracing Cost-Effective? We build an SIS compartmental disease-transmission model and compare the costs and effectiveness of varying levels of random screening with and without contact tracing. Contact tracing will increase the number of cases found by a factor of K. How Much Contact Tracing is Cost-Effective? We use a simulation model of contact tracing and disease spread on a network to compare the costs and effectiveness of varying levels of contact tracing. μ per capita death rate η per capita rate of outside infection β sufficient contact rate p=I/N disease prevalence N=S+I total population ω(p)= γ(1 p) [βp+η] get help because of symptoms; cured p'(t) = [βp(1 p)+η] −μp −ω(p) N'(t)=0 C t cost of testing 1 person C S cost of screening 1 person C T contact tracing cost per index case S I infection death death birth cured (produces costs) μS μI μN βI(S/N)+ηN γ[βI(S/N)+ηN] γ[βI(S/N)+ηN]C t SIS model Cost = min λ,δ C(λ,δ;p) s.t. N(1+δK T )(λp+ ω(p))=n λ≥0, δ=0,1 Cost = min λ(t),δ(t) C(λ,δ;p) s.t. p(t)=P for all t λ(t)0, δ(t)=0,1 nodes in various states SIR + 2 additional states •ST susceptible and currently being traced sought by the health department for testing •IT infected and currently being traced Budget: the size of the investment in contact tracing, i.e., the number of people we can trace (have in states ST and IT) at a time n 500 individuals size of network t 1 90 days t 2 30 days t 3 90 days t 4 ,t 5 5 days time needed to find a contact η 1/9000 new cases/day/person per capita rate of outside infections C T $6000 cost of tracing one person C t $50 cost of treating one person q 0.9 quality multiplier of disease on a scale of 0 (death) to 1 (perfect health) Simulation 1600 runs per point 95% confidence interval each simulation is over 5 years (first 180 days ignored) Extensions 0 20 40 60 498.6 498.8 499 499.2 499.4 499.6 Annual QALYs experienced Annual cost ($1000s) 0 2 4 6 8 10 0.01 0.015 0.02 0.025 0.03 0.035 Steady-state prevalence Contact tracing capacity 0 20 40 60 80 498.5 499 499.5 500 Annual cost ($1000s) Annual QALYs experienced small-world network scale-free network 0 20 40 60 498.6 498.8 499 499.2 499.4 499.6 Annual QALYs experienced Annual cost ($1000s) optimal mix contact tracing only The points correspond to capacities from 0 to 10. At the optimal budget this curve has a slope of 1/α. Here α=$50,000/QALY. allocating capacity between contact tracing and screening optimal screening level optimal annual per capita cost d i = number of infected neighbors of node i comparing different network structures Results The points correspond to capacities from 0 to 10. At the optimal budget this curve has a slope of 1/α. Here α=$50,000/QALY. IT R ST S S S I S S ST S S I I R S 0 P' 1 δ=1 δ=0 prevalence 0 P' 1 prevalence δ =1 δ =0 λ(t)0, δ(t)=0,1

Upload: others

Post on 17-Apr-2020

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: The Cost-Effectiveness of Contact Tracing for Endemic Diseasesusers.iems.northwestern.edu/~armbruster/2007AugUBC_poster.pdf · varying levels of random screening with and without

AbstractContact tracing is an important intervention for diseases such as TB, HIV, and other STDs (for which it

is often called partner notification). However, its cost-effectiveness has not been modeled much. Using a stylized compartmental model of an endemic disease we show that contact tracing is a cost-effective alternative to screening when the disease prevalence is below some threshold. Using a more detailed simulation model of disease spread on a network, we show how to determine the optimal level of investment in contact tracing.

IntroductionWhat is contact tracing?• goal: find additional infected persons• method: given an infected case, find its contacts and test them for the disease• also known partner notification for HIV and other STDs

What diseases is it used for? TB, HIV, other STDs. In the US it is required that health departments contact trace TB. The CDC recommends it for HIV. It is also practiced for other STDs.

What are the alternatives? Screening, vaccination, behavior change.

What are the tradeoffs? Contact tracing is labor intensive but is likely to find infected people.

What has been done so far? Small empirical studies and models of effectiveness but not of costs.

Related work: Contact tracing is also done for epidemics such as SARS and the avian flu. It is related to ring vaccination.

Conclusions• Contact tracing is part of the optimal strategy when the disease prevalence is below a

threshold.• This threshold depends on the relative cost per case found by screening versus contact

tracing.• Investment in contact tracing has diminishing returns to scale.• These models (appropriately tailored) provide a useful policy tool.• Little is known about the actual network structure for a particular disease and more

research is needed.

References www.stanford.edu/~barmbrus

• Optimal mix of screening and contact tracing for endemic diseases. Mathematical Biosciences. In press.

• Contact Tracing to Control Infectious Disease: When Enough is Enough. Health Care Management Science. In press.

Authors• Benjamin Armbruster [email protected] Ph.D. student

• Margaret L. Brandeau [email protected]

Supported by the NSF and the National Institute on Drug Abuse

extended S→I→R model + small-world network of contacts

Intervention 1: random screening at rate λ• reduces prevalence at rate λp• cost per capita is λ(CS+Ctp)

Intervention 2: contact tracing• δ=1 if program exists, 0 if it does not• KT number of infected contacts per index case δKT (λp+ ω(p)) total• CT cost per index case, δCT (λp+ ω(p))

prevalence p(t)' = f(p(t),λ(t),δ(t)) = [βp(1 − p)+η] −μp − (1+δKT) (λp+ ω(p))cost per capita C(λ,δ;p) = ω(p)Ct +λ(CS+Ctp) +δ CT (λp+ω(p))

Minimizing Cost per Capita1.Cost of finding n infected persons

prevalence given and fixed (n small)

2.Long-term (steady-state) costprevalence given and fixed

3.Total costincludes cost of untreated diseaseinitial prevalence givenλ(t) and δ(t) vary with time α = cost of 1 case of untreated disease per year

ResultsIn all 3 formulations, contact tracing optimal if and only if p < P' , P'=CS /(CT / KT − Ct).

The Cost-Effectiveness of Contact Tracing for Endemic DiseasesBenjamin Armbruster and Margaret L. Brandeau

Stanford UniversityWhen is Contact Tracing Cost-Effective?We build an SIS compartmental disease-transmission model and compare the costs and effectiveness of varying levels of random screening with and without contact tracing. Contact tracing will increase the number of cases found by a factor of K.

How Much Contact Tracing is Cost-Effective?We use a simulation model of contact tracing and disease spread on a network to compare the costs and effectiveness of varying levels of contact tracing.

μ per capita death rateη per capita rate of outside infectionβ sufficient contact rate

p=I/N disease prevalenceN=S+I total populationω(p)= γ(1 − p) [βp+η] get help

because of symptoms; cured

p'(t) = [βp(1 − p)+η] −μp −ω(p)N'(t)=0

Ct cost of testing 1 personCS cost of screening 1 personCT contact tracing cost per index case

S Iinfection

death death

birth

cured (produces costs)

μS μI

μN βI(S/N)+ηN

γ[βI(S/N)+ηN]

γ[βI(S/N)+ηN]Ct

S→I→S model

Cost = minλ,δ C(λ,δ;p)s.t. N(1+δKT) (λp+ ω(p))=n

λ≥0, δ=0,1

Cost = minλ(t),δ(t) C(λ,δ;p)s.t. p(t)=P for all t

λ(t)≥0, δ(t)=0,1

nodes in various statesSIR + 2 additional states•ST susceptible and currently being traced

sought by the health department for testing•IT infected and currently being traced

Budget: the size of the investment in contact tracing, i.e., the number of people we can trace (have in states ST and IT) at a time

n 500 individuals size of networkt1 90 dayst2 30 dayst3 90 dayst4,t5 5 days time needed to find a contactη 1/9000 new cases/day/person

per capita rate of outside infections

CT $6000 cost of tracing one personCt $50 cost of treating one personq 0.9 quality multiplier of disease on a scale

of 0 (death) to 1 (perfect health)

Simulation• 1600 runs per point• 95% confidence interval• each simulation is over 5 years (first 180 days

ignored)

Extensions

0 20 40 60498.6

498.8

499

499.2

499.4

499.6

Ann

ual Q

ALY

s exp

erie

nced

Annual cost ($1000s)

0 2 4 6 8 100.01

0.015

0.02

0.025

0.03

0.035

Stea

dy-s

tate

pre

vale

nce

Contact tracing capacity

0 20 40 60 80498.5

499

499.5

500

Annual cost ($1000s)

Ann

ual Q

ALY

s exp

erie

nced

small-world networkscale-free network

0 20 40 60498.6

498.8

499

499.2

499.4

499.6

Ann

ual Q

ALY

s exp

erie

nced

Annual cost ($1000s)

optimal mixcontact tracing only

The points correspond to capacities from 0 to 10. At the optimal budget this curve has a slope of 1/α. Here α=$50,000/QALY.

allocating capacity between contact tracing and screening

optimal screening level optimal annual per capita cost

di = number of infected neighbors of node i

comparing different network structures

Results

The points correspond to capacities from 0 to 10. At the optimal budget this curve has a slope of 1/α. Here α=$50,000/QALY.

ITR ST

SS

S

I

S

SST

S

S

I

IR S

0 P' 1

δ=1 δ=0

prevalence0 P' 1prevalence

δ=1 δ=0

λ(t)≥0, δ(t)=0,1