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Community Interventions for Pan Flu—Lessons from History and Modeling

Community Interventions for Pan Flu—Lessons from History and Modeling. Cathy Slemp, MD, MPH WV Bureau for Public Health November 2006. Influenza Pandemic Viruses. Requirements: A new influenza A subtype that can infect humans AND Causes serious illness AND

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Community Interventions for Pan Flu—Lessons from History and Modeling

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  1. Community Interventions for Pan Flu—Lessons from History and Modeling Cathy Slemp, MD, MPH WV Bureau for Public Health November 2006

  2. Influenza Pandemic Viruses Requirements: • A new influenza A subtype that can infect humans AND • Causes serious illness AND • Spreads easily from human-to-human H5N1 meets the first two prerequisites, but not the last Next pandemic virus may or may not be due to a variation of current H5N1 virus

  3. Update:H5N1 in Humans – 2003-2006 • As of October 31, 2006: 256 cases, 152 deaths (~60%) • Ten countries • Sporadic, with occasional clusters • Most had close contact with sick poultry • Few cases of probable, limited human-to-human transmission • All lived in countries with poultry outbreaks

  4. Update As of 10/31/06: 256 cases; 152 deaths; most poultry related

  5. Flu Pandemics Happen. (10 in last 300 years)Impacts of Past Pandemics

  6. IMPACT CAN BE DRAMATICDaily Deaths in Ohio - 1918 Brodrick OL. Influenza and pneumonia deaths in Ohio in October and November, 1918. The Ohio Public Health Journal 1919;10:70-72.

  7. Sample Estimate of Pandemic Morbidity/Mortality, West Virginia* • CharacteristicModerate (1957-68-like) Severe (1918-like) • Illness 540,000 (30%) 540,000 (30%) • Outpatient 270,000 (50%) 270,000 (50%) • Hospitalization 5,314 60,813 • ICU Care 791 9,123 • Ventilators 399 4,558 • Deaths 1,284 11,690 * Based upon DHHS U.S. estimates applied to WV population numbers. These are in the absence of potential interventions.

  8. What we don’t know … about the next pandemic • When will it occur? • Which virus will cause it, H5N1 or another? • Who will be most at risk (Elderly and infants? Other?) • How severe an illness will it cause? • Will there be multiple waves? • Will antiviral medication work? • How long until we have a vaccine? • What are the best control measures?

  9. Planning Pandemic Control Measures

  10. #1 Pandemic outbreak: No intervention #2 Daily Cases Pandemic outbreak: With intervention #3 Days since First Case Community-Based Interventions 1. Delay outbreak peak 2. Decompress peak burden on hospitals / infrastructure 3. Diminish overall cases and health impacts

  11. What can we learn from historical analysis?

  12. Cumulative Excess Mortality by Location in 1918 McLaughlin AJ. Epidemiology and Etiology of Influenza. Boston Medical and Surgical Journal, July 1920.

  13. Weekly mortality data provided by Marc Lipsitch (personal communication)

  14. Peak Aggregate (1918) Wash DC 147 550 Seattle 52 335

  15. Thinking ThroughControl Measures

  16. Influenza Transmission Facemasks, cough etiquette Viruses: Cleaning, handwashing Social distance, cohorting Leave original host Facemasks, handwashing Survive in transit Vaccination Delivered to a susceptible host Reach a susceptible part of the host Escape host defenses Multiply and cause illness

  17. Potential Tools in Our Toolbox • Our best countermeasure – vaccine – will probably be unavailable during the first wave of a pandemic • Antiviral treatment may improve outcomes but will have only modest effects on transmission • Antiviral prophylaxis may have more substantial effects on reducing transmission • Infection control and social distancing should reduce transmission, but strategy requires clarification

  18. Ro = 2 R0 = 1

  19. Effect of Increasing Social Distance on Epidemic Dynamics Suppression Exponentiation Ro = 2.0, Progression = 1:2:4:8:16 Ro = 0.67, Progression = 1:2:4:3:2

  20. Increasing “Social Distance” • “Community Shielding” Measures • Close or alter high risk transmission environments e.g. schools, daycare centers if supported by epidemiology • Cancel large public gatherings (concerts, theaters) • Minimize other exposures (market, church, public transit) • Encourage ill and exposed to stay home (I & Q) • Worksite adaptations (e.g., telecommuting, etc.) • Scaling back transport services (holiday schedule) • Consider additional community measures • COOP to minimize economic impact • Surgical masks, barrier precautions, hand hygiene

  21. What Does Disease Modeling Suggest?

  22. Examining the Potential of Combined Interventions %Population Infected

  23. Value of combining strategies – Longini model

  24. Conclusions • Models suggest that partially effective interventions, when used in a layered manner, may be highly effective in controlling the spread of influenza in a community. • Mitigation strategies appear to be most effective when implemented in a uniform manner early in an outbreak. • When used as part of a layered strategy, models suggest that social distancing measures can have a significant impact on disease transmission, even if one assumes low rates of compliance and effectiveness.

  25. What are limits of this data? • Observational data from 1918; data incomplete; cannot link cause and effect • Modeling impact of interventions useful, but • Doesn’t yet incorporate people’s behavioral responses to flu itself or to our interventions • Doesn’t incorporate secondary consequences of interventions (e.g., effects of school closure on education, workforce, etc.) • Does help shape discussion.

  26. Community Mitigation Strategies Carry Consequences That Should Be Anticipated and Incorporated into Pandemic Planning • Economic impact and potential disruption of services due to absenteeism • Issues associated with sequestration of children • Home-based care • Disproportionate impact on certain populations • Administration of antiviral medications • As treatment without rapid diagnostics • As prophylaxis to household contacts of ill persons These and other consequences may occur in the absence of community-wide interventions, as a result of spontaneous action by the public.

  27. Residences Workplace / Classroom Social Density Offices Hospitals 7.8 feet Elementary Schools 16.2 feet 11.7 feet 3.9 feet http://buildingsdatabook.eren.doe.gov/docs/7.4.4.xls

  28. Spacing of people: If homes were like schools *Based on avg. 2,600 sq. ft. per single family home

  29. Spacing of people: If homes were like schools *Based on avg. 2,600 sq. ft. per single family home

  30. Households in the United States 37 million 28 million 28 million 12 million Source: U.S. Census Bureau, Population Division, Current Population Survey, 2003 Annual Social and Economic Supplement http://www.census.gov/population/www/socdemo/hh-fam/cps2003.html

  31. Labor Status of Parents 66 million 18 million 5 million 8 million 9 million Source: U.S. Census Bureau, Population Division, Current Population Survey, 2003 Annual Social and Economic Supplement http://www.census.gov/population/www/socdemo/hh-fam/cps2003.html

  32. Macroeconomic Analysis • Preliminary macroeconomic analyses of the impact of community-wide interventions have been performed, using several economic models • These models predict supply-side impacts that range from a decrease in overall economic impact as a result of community-wide interventions, to a modest increase in impact • These estimates do not incorporate the costs associated with lives lost during a severe pandemic • If an economic value is assigned to lives lost during a severe pandemic, community-wide interventions result in a 5-10 fold decrease in overall cost

  33. A Targeted and Layered Approach

  34. So, Recent Analyses Suggest That Community Actions May Significantly Reduce Illness and Death Before Vaccine is Available Early and uniform implementation of such measures as: • School closure • Keeping kids and teens at home • Social distancing at work and in the community • Encouraging voluntary home isolation by ill individuals and voluntary home quarantine by their household contacts • Treating the ill and providing targeted antiviral prophylaxis to household contacts • Implementing measures early and in a coordinated way

  35. A Layered Approach Individual / Household / Agency Hand hygiene Cough etiquette Infection control Living space control Isolation of ill Designated care provider Facemasks Community Isolation of ill Treatment of ill Quarantine of exposed Prophylaxis of exposed School closure Protective sequestration of children Social distancing - Community - Workplace Liberal leave policies International Containment-at-source Support efforts to reduce transmission Travel advisories Layered screening of travelers Health advisories Limited points of entry

  36. Epidemiology Drives Approach(Targeted) SAMPLE

  37. Things to consider in choosing strategies • Disease severity • Information on the disease (e.g., are there high risk subgroups? How effective are antivirals? etc.) • Ability to practically implement the control measure • Public acceptability of the control measure • Secondary impacts of the measure—are we doing more harm than good? • What should be implemented by communities and what centrally? Is a common approach important? • Ethical considerations

  38. What Can Communities Do Now? • Education of leadership about the need for cross-sectoral planning • Engagement of non-health communities: education, private sector, labor, faith communities, NGO’s, the public • Development of Community-wide plans • Scenario-based discussions of implementation • Plan how to support and protect staff

  39. Leadership What does this take? (Now and when the time comes) Imagination Resiliencyof Individuals, Agencies, and Communities

  40. Contributors to Historical Analysis and Modeling HSC/NSPI Writing Team Richard Hatchett, MD Carter Mecher, MD Laura McClure, MS CDR Michael Vineyard Modelers Joshua Epstein, PhD Stephen Eubank, PhD Neil Ferguson, PhD Robert Glass, PhD Betz Halloran, PhD Nathaniel Hupert, MD Marc Lipsitch, MD Ira Longini, PhD NVPO Bruce Gellin, MD Ben Schwartz, MD Department of Education Camille Welborn, MS HSC Rajeev Venkayya, MD Ken Staley, MD, MPA Department of Labor Suey Howe, JD Department of the Treasury Nada Eissa, PhD Chris Soares, PhD John Worth, PhD NSC Rita DiCasagrande, MS NIH James Anderson, PhD Irene Eckstrand, PhD Peter Highnam, PhD Ellis McKenzie, PhD CEA Steven Braun, PhD Department of Finance - Canada Steven James Timothy Sargent CDC David Bell, MD Martin Cetron, MD Rachel Eidex, MD Lisa Koonin, MN, MPH Anthony Marfin, MD RTI Philip Cooley, PhD Diane Wagener, PhD University of Michigan Howard Markel, MD

  41. Get Informed, Be Prepared! RESOURCES • WVBPH: Div Threat Prep or DSDC • Your Emergency Management Agency and Local Health Department • http://www.wvflu.org • http://www.pandemicflu.gov • ASTHO (www.astho.org) and NACCHO (www.naccho.org) Websites • CDC website (www.cdc.gov)

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