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Containing Pandemic Influenza at the Source Ira M. Longini, Jr. Dept. Biostatistics U. Washington Hutchinson Rsh Ctr.

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Presentation on theme: "Containing Pandemic Influenza at the Source Ira M. Longini, Jr. Dept. Biostatistics U. Washington Hutchinson Rsh Ctr."— Presentation transcript:

1 Containing Pandemic Influenza at the Source Ira M. Longini, Jr. Dept. Biostatistics U. Washington Hutchinson Rsh Ctr

2 Collaborators M. Elizabeth Halloran Azhar Nizam Shufu Xu Depts. Biostatistics, U Wash and Emory U Derek Cummings Johns Hopkins U. Kumnuan Ungchusak Wanna Hanshaoworakul Thai Ministry of Health Timothy C. Germann Kai Kadau Catherine A. Macken Los Alamos National Laboratory

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4 How Bad Could it Get? Current Avian A(H5N1) Influenza is SE Asia –165 cases, 88 deaths, 53% case fatality ratio Global pandemic, first wave about 6 - 9 months, 2 billion cases –1918 scenario: 10 - 50 million deaths –Other scenarios: 2 – 7 million deaths –Contrast 20 million AIDS deaths over 25 years 811 SARS deaths over 8 months

5 Containing Pandemic Influenza at the Source It is optimal to stop a potential pandemic influenza strain at the source –Longini, et al. Science 309, 1083-7 (2005). Longini and Halloran. Science 310, 1117 ‑ 18 (2005). –Ferguson, et al. Nature 437, 209-14 (2005) –Targeted antiviral prophylaxis with mobile stockpile (WHO) ~ 5 million courses –Quarantine, social distancing, school closing, travel restrictions –Pre or rapid vaccination with a possibly poorly matched vaccine

6 Pandemic Influenza in the US or Other Countries Once Spread is Global Hard to contain as it comes in Once widespread, slow transmission until well-match vaccine is available –Targeted antiviral prophylaxis –Quarantine, social distancing, school closing, travel restrictions –Rapid vaccination with a possibly poorly match vaccine Germann, T.C., Kadau, K., Longini I.M. and Macken C.A.: Mitigation strategies for pandemic influenza in the United States. (accepted – Feb or March, 2006) Halloran, M.E. and Longini, I.M.: Community studies for vaccinating School children against influenza. Science 311 (Feb. 3, 2006).

7 CONTACTS Household Household cluster Preschool/daycare School Workplace TAP: Targeted antiviral prophylaxis using neuraminidase inhibitors (oseltamivir/zanamivir) 80% ascertainment 100% household + HH cluster 80% preschool 80% school 60% workplace

8 Antiviral efficacies used in the model: Oseltamivir Antiviral efficacy of reducing susceptibility to infection: AVE S = 0.48, [0.17, 0.67] 95% CI * Antiviral efficacy of reducing illness given infection: AVE D = 0.56, [0.10, 0.73] 95% CI * Antiviral efficacy of reducing illness with infection: AVE SD = 0.80, [0.35, 0.94] 95% CI * –Mult.: AVE SD = 1 – (1- AVE S ) (1- AVE D ) = 0.77 Antiviral efficacy of reducing infectiousness to others: AVE I = 0.80, [0.45, 0.93] 95% CI * * data from Welliver, et al. JAMA (2001); Hayden, et al. JID (2004); analysis by Yang, Longini, Halloran, Appl Stat (in print); Halloran, et al. (in prep).

9 Prevaccination Prevaccination with low efficacy vaccine –Low efficacy vaccine: VE S = 0.30, VE I = 0.5 –50% and 70% prevaccination of the population and evaluate above interventions

10 Preliminaries

11 Basic Reproductive Number: R 0 R 0 > 1 for sustained transmission For pandemic influenza: 1 < R 0 ≤ 2.4 –A(H3N2) 1968-69, R 0 ≈ 1.7 –A(H1N1) 1918, second wave, R 0 ≈ 2.0 –New variant, early spread: 1 < R 0 ≤ 1.6

12 Reed-Frost Model Stochastic process: discrete state space and time t 0, t 1, t 2 …. Infectious agent natural history –Infectious for one time unit Social contact structure –Random mixing – p = 1 – q, probability two people make contact sufficient to transmit R 0 = (n-1)p

13 Reed-Frost Model See chain binomial chapter in the Encyclopedia Biostat., Vol 1, 593-7

14 Reed-Frost Model Threshold theorem: When R 0  1, then no epidemic, When R 0 >1, then epidemic with probability

15 Simulated Reed-Frost Model * n Start with (S 0,I 0 ≥ 1) n For each S 0, generate random number x  [0,1] n If x ≥ q Io, then person becomes infected n Repeat for next generation and update states n Stop when S 0 = 0 or I 0 = 0 *First done by Elveback and Varma (1965)

16 * Source: Elveback and Varma (1965) *

17 Containment in SE Asia

18 Rural population of 500,000 in Thailand Population matched to non- municipal area household-size and age distributions. * *Population and Housing Census 2000 data used where available (www.nso.go.th); other National Statistical Office reports and tables used as necessary.

19 Population Characteristics 36 localities each of size ~ 14,000 Total area: 75 km X 75 km = 5,625 km 2 Population density ~89/km 2 12.5km

20 Locality Characteristics ~ 28 villages, each of size ~ 138 households, ~ 500 people Villages are clustered Within village clusters: Household are clustered Small & large playgroups Elementary, lower-secondary and upper-secondary school mixing groups Social groups Work groups

21 Social network incorporated from the Nang Rong District study * n 310 villages under study n Village size average  100 households n Main mixing groups under study u Households u Villages u Hiring tractors u Temples u Elementary schools u Secondary schools u Workplaces * Faust, et al., Soc Net (1999)

22 Distribution of travel distance to work, school and social groups

23 Secondary school, work and social group assignment n Localities are linked by secondary schools, work groups and social groups n For residents of each locality, secondary school, work group and social group locality is selected according to distance distribution shown below (using most Southwesterly locality as an example) Zone% 1 90 2 7 3 2 4-6 1 Zone1 Zone2 Zone3 Zone4 Zone5 Zone6

24 Distribution of travel distance to work, school and social groups* For residents of most Southwesterly locality: Zone% 1 90 2 7 3 2 4-6 1 Zone1 Zone2 Zone3 Zone4 Zone5 Zone6 90% stay in zone 1 7% go to zone 2 2% go to zone 3 1% go beyond zone 3

25 Model calibration Illness Attack Rate Modeled Asian A(H2N2) PandemicHK-Like 1957-58Strain ’68-69 Young Children 35% 32% 34% Older Children 62% 46% 35% Adults 24% 29% 33% Overall 33% 33% 34%

26 Social Connectivity

27 Transmission n c daily adequate contact probability u c(n-1) average mixing group degree n x transmission probability given adequate contact n y relative susceptibility n p = cxy overall transmission probability

28 Bipartite Graph 1 2 n 1 2 m PeoplePlaces

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30 Weighted Person-to-Person Graph 1 4 n 2 3 c 12 c 2n c 1n c 2j c 3r c 4s

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34 Mean degree 4.6 Clustering coefficient 0.2 Mean shortest path 10.6 Small World Network

35 Infection Transmission Process

36 Latency Incubation Asymptomatic (33%) 0 Probability of infecting others days Exposure and infection 1.2d 1.7d 3.5d Natural History Used for Influenza Possibly symptomatic Symptomatic (67%) Case serial interval = 3.2 days

37 Intervention

38 Interventions considered n All interventions carried out in the localities as triggered n 80% targeted antiviral prophylaxis (TAP) n 90% geographically targeted antiviral prophylaxis (GTAP) n Localized household and household cluster quarantine. Lifted when there are no more local cases.

39 Interventions considered n TAP + pre-vaccination n TAP + localized household quarantine n TAP + localized household quarantine + pre- vaccination n Localized interventions begin 7, 14 and 21 days after outbreak is recognized, one day after as cases appear locally

40 Results

41 Frequency Number of secondary infections Average R 0 =1.4 R 0 * : Number of people infected by a single initial infective * Based on 1000 simulations

42 No. of cases 25 Day 11 25 Day 11 18 No Intervention R 0 = 1.4 166,408 total cases Day # Cases 11 6 18 47 25153 No. of cases Day

43 Illness attack rate by age-group and R 0 (No Intervention) R 0 =1.1 R 0 =1.4 R 0 =1.7 R 0 =2.1 R 0 =2.4

44 No. of cases Day 18 Contained GTAP 14 days after the first detected case(~ day 18) R 0 = 1.4 44 total cases No. of cases Day

45 No. of cases Day 18 Not contained GTAP 14 days after the first detected case(~ day 18) R 0 = 1.4 1925 total cases No. of cases Day

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47 No Intervention, R 0 = 1.4

48 80% TAP, 14 day delay, R 0 = 1.4

49 Cases per 1000 EscapesCourses Containment Ratio Intervention R 0 = 1.4 R 0 = 1.7 R 0 = 1.4 R 0 = 1.7 R 0 = 1.4 R 0 = 1.7 R 0 = 1.4 R 0 = 1.7 No Intervention 2293617421184---- 80% Targeted Antiviral Prophylaxis (TAP) 0.111400.355007713552591.000.35 90% Geographically Targeted Antiviral Prophylaxis (GTAP) 0.06540.16183269463024881.000.60 80% TAP + 50% Pre-vaccination 0.010.490.0626631111.000.85 80% TAP + 70% Pre-vaccination 0.010.030.030.13462171.001.00 70% Quarantine 0.170.770.602--0.980.70 80% TAP + 70% Quarantine 0.050.140.2137911491.001.00 80% TAP + 70% Quarantine + 50% Pre- vaccination 0.020.040.060.191322851.001.00 Simulated mean cases, escapes, courses and containment proportion for various interventions

50 R0 sensitivity - cases

51 90% GTAP Threshold

52 R0 sensitivity - courses

53 Delay in interventions sensitivity - cases

54 Conclusions n 80% TAP and 90% GTAP would be effective in containing pandemic influenza at the source if R 0 ≤ 1.4 u This is true even up to a 21 day delay after the first detected case, about 25 days after first infection u At least 70% TAP or GTAP would be needed u Fewer than 120,000 courses would generally be needed n Neither 80% TAP nor 90% GTAP would be effective in containing pandemic influenza at the source if R 0 ≥ 1.7 u 350,000 courses would generally be needed

55 n Prevaccination of the population with a low efficacy vaccine makes a big difference, even at the 50% coverage level u With 50% of the population vaccinated, 80% TAP would be effective in containing pandemic influenza at the source if R 0 ≤ 1.7, even up to 56 days delay. Prevaccination lowers the effective R before the epidemic. u With 70% of the population vaccinated, 80% TAP would be effective in containing pandemic influenza at the source if R 0 ≤ 2, up to 56 day delay

56 n Household and neighborhood quarantine is effective for R 0 ≤ 1.7 up to 35 days delay, becomes ineffective for R 0 ≥ 2.1 n A combination of 80% TAP + quarantine is effective even for an R 0 as high as 2.4, while adding prevaccination makes this combination even more effective even up to 56 days delay.

57 Policy Implications n A mobile stockpile of oseltamivir has been created by WHO. It will be deployed quickly after the initial infection cluster is detected. n The outbreak is containable with targeted antiviral prophylaxis if transmissibility is reasonably low (R 0 ≤ 1.4) and intervention occurs with 21 days of first detected case. n Localized quarantine and other social distancing measures would be important for containment for viruses with higher transmissibility (R 0 ≥ 1.7).

58 Policy Implications Continued n The development and deployment of vaccine for potential pandemic strains for at-risk populations should move forward as quickly as possible. n Surveillance and detection of early pandemic influenza transmission is extremely important in all potentially at-risk regions of the world.

59 Oseltamivir Stockpiles n WHO: 120,000 courses, soon 5 million courses n US: 4 - 5 million courses, increase to 75 million courses? H5N1 vaccine stockpile? n Other Countries (e.g., U K, France, Finland, Norway, Switzerland, New Zealand) u 20 - 40% population (one course) ordered

60 The End


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