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Presentation transcript:

This presentation is made available through a Creative Commons Attribution-Noncommercial license. Details of the license and permitted uses are available at © 2010 Dr. James C. Scott and the Clinic on the Meaningful Modeling of Epidemiological Data Title: Public Health, Epidemiology, and Models Attribution: Dr. Jim Scott, Clinic on the Meaningful Modeling of Epidemiological Data Source URL: s s For further information please contact Dr. Jim Scott

MMED African Institute for the Mathematical Sciences Muizenberg, South Africa May, 2010 Jim Scott, Ph.D, M.A., M.P.H.

 Published analysis of London mortality data in 1662  Recognized patterns and trends such as male-female disparities and high infant mortality 3

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In 1632 Plague: 8 Buried:

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 “The science of preventing disease, prolonging life, and promoting physical health and efficiency through organized community efforts… ” - Winslow  Prevention is job #1  Works at the population level 9

“I believe the history of public health might be written as a record of successive redefinings of the unacceptable.” - George Vicker 10

11 A Summarized History of International Public Health (Merson, Black, Mills, 2 nd ed.)

12 Public Health Improvements Cleaner Water Vaccinations Family Planning Cleaner Food Smallpox Eradication Education Improved Sanitation Improved Hygiene Cleaner Air Tobacco Control Better Nutrition Vector Control Google: Life expectancyLife expectancy

 Key concepts  Prevention is job #1  Interdisciplinary  Everyone has a right to health  Linked to government  Works at the population level  Different than medicine 13

 Assess health of populations (surveillance)  Policy development  Assure that services are available  Prevent disease  Assess health of individuals (diagnosis)  Develop treatment plan (regimen)  Administer treatment  Cure the patient Public HealthMedicine 14

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 Assessment :  Epidemiology and Statistics 16

 Policy Development  Government and International Organizations ▪ e.g. The World Health Organzation 17

 Assurance  Implementation and maintenance  Governments and Public Health Infrastructure 18

 Five Steps  Define the problem  Determine risk factors  Develop interventions  Implementation  Assessment 19

 The problem:  1966: 10 – 15 million cases of smallpox in 50+ countries  1-2 million deaths annually  ~ 30% case-fatality ratio  Higher in children  Survivors scarred for life 20 Source: Millions Saved: Proven Successes in Global Health, Center for Global Development, 2004

 Natural History/Risk Factors  Variola virus  Airborne / contact with an infected person  Non-infectious for up to 17 days  Flu-like symptoms – high fever  Rash 21

 Intervention: vaccination  In existence since 18 th century – Edward Jenner  Improved vaccine in 1920s  1959: Global eradication program endorsed by the WHO 22

 Implementation  1959: 1 fulltime WHO medical officer, 1 assistant  National vaccination campaigns  1965: World Health Assembly – “eradication of smallpox is a main objective of the WHO”  1967: Smallpox Eradication Program  1970’s: focused ‘containment’ teams  1973: 5 countries remaining  1977: last endemic case 23

24 Source: Vaccines, 3 rd ed.,W.B. Saunders Co The Decline of Smallpox

 Assessment  2 years of surveillance and searching  May 1980: Smallpox declared “eradicated” 25

 Barriers to public health  Economic  Moral/religious  Individual freedom  Political 26

 Public Health  Prevention  Populations  Challenging 27

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29 Policy Development Assessment Assurance Epidemiology

 “The study of the  distribution and  determinants  of health-related states or events  in specified populations, and the application of this study to control health problems” - J. Last, Dictionary of Epidemiology 30

 The…  Who  What  When  Where  Why  and How ……of Disease Descriptive Epidemiology Analytic Epidemiology 31

Slide courtesy of Warren Winkelstein 32

 Describe Disease in the Population  Surveillance, observation, research, experiments  Person, place, and time  Determinants  Physical, biological, social and behavioral factors that influence health  Natural History of Disease  Symptoms, pathogenisis, incubation  Design/Implement interventions  Control disease  Inform Policy  Use findings to promote, protect, and restore health – “Big Picture” 33

 Describe Disease in the Population - Surveillance - Distribution of disease  Determinants of Disease - Outbreak investigations - Observational studies - Experimental studies (RCTs)  Interventions - Mathematical modeling 34

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Centers for Disease Control and Prevention 40

Susceptible Host Subclinical Disease (Incubation period) Clinical Disease Recovery, Disability or Death Time Exposure Pathological ChangesUsual Time of Diagnosis Onset of Symptoms

 Agent – Hepatitis A virus  Reservoir – Humans, and rarely captive chimpanzees  Mode of Transmission – Person-to-person by fecal- oral route  Incubation period – 15 to 50 days, depending on dose  Period of communicability – Greatest during latter half of incubation period, continues for a few days after onset of jaundice  Symptoms – Fever, nausea, abdominal discomfort, jaundice

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vs 2.11, a reduction in HIV incidence of approximately 60%

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46 Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission: a mathematical model Reuben M Granich, Charles F Gilks, Christopher Dye, Kevin M De Cock, Brian G Williams Lancet 2009; 373

 Population or community health assessment  Surveillance  Individual decision making  Should I smoke?  Completing the clinical picture  Natural History of Disease  Search for causes  HPV and Cervical Cancer  Public health action  Circumcision 47

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 Models allow us to gain insight into public health questions (e.g. Universal testing)  Differences between: ▪ What factors increase the risk of HIV transmission? (Analytic Epidemiology) ▪ In what populations is HIV incidence/prevalence the highest? (Descriptive Epidemiology) ▪ By how much could we expect the incidence of HIV to decrease in South Africa if 80% of all sexually active people used condoms 80% of the time? (Public Health Impact) 49

 1) Simple as possible  Avoid unnecessary complexity  Only add complexity when the research question demands it  2) Based on what is known  Biological systems  DATA 50 Implies we must know relevant: - biology - statistics (how to make sense of data)

Slide courtesy of Warren Winkelstein 51