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Infectious Disease Epidemiology Principles of Epidemiology Lecture 7 Dona Schneider, PhD, MPH, FACE
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Epidemiology (Schneider) Concepts in Infectious Epidemiology Agent, host, environment Classification of human infections by modes of transportation Incubation period Spectrum of disease Herd immunity
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Epidemiology (Schneider) Major Factors Contributing to the Emergence of Infectious Diseases Human demographics and behavior Technology and industry Economic development and land use International travel and commerce Microbial adaptation and change Breakdown of public health measures
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Epidemiologic Triad Concepts Infectivity – ability to invade a host (# infected / # susceptible) X 100 Pathogenicity – ability to cause disease (# with clinical disease / # of infected) X 100 Virulence – ability to cause death (# of deaths / # with disease (cases)) X 100 All are dependent upon the condition of the host - Immunity (active, passive) - Nutrition - Sleep - Hygiene
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Epidemiology (Schneider) Mode of Transmission Person-to-person (respiratory, orogenital, skin) Examples: HIV, measles Vector (animals, insects) Examples: rabies, yellow fever Common vehicle (food, water) Examples: salmonellosis Mechanical vectors (personal effects) such as doorknobs, or toothbrushes are called FOMITES
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Epidemiology (Schneider) Classification by Mode of Transmission Dynamics of Spread through Human Populations Spread by a common vehicle IngestionSalmonellosis InhalationLegionellosis InoculationHepatitis Propagation by serial transfer from host to host RespiratoryMeasles Anal-oralShigellosis GenitalSyphilis
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Epidemiology (Schneider) Principle Reservoir of Infection Man Infectious hepatitis Other vertebrates (zoonoses) Tularemia Agent free-living Histoplasmosis Portal of Entry/Exit in Human Host Upper respiratory tract Diphtheria Lower respiratory tract Tuberculosis Gastrointestinal tract Typhoid fever Genitourinary tract Gonorrhea Conjunctiva Trachoma Percutaneous Leptospirosis Percutaneous (bite of arthropod) Yellow fever
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Epidemiology (Schneider) Cycles of Infectious Agent in Nature Man-man Influenza Man-arthropod-man Malaria Vertebrate-vertebrate-manPsittacosis Vertebrate-arthropod-vertebrate-man Viral encephalitis Complex Cycles Helminth infections River blindness
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Epidemiology (Schneider) Incubation Period The interval between the time of contact and/or entry of the agent and onset of illness (latency period) The time required for the multiplication of microorganisms within the host up to a threshold where the parasitic population is large enough to produce symptoms
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Epidemiology (Schneider) Each infectious disease has a characteristic incubation period, dependent upon the rate of growth of the organism in the host and Dosage of the infectious agent Portal of entry Immune response of the host Because of the interplay of these factors, incubation period will vary among individuals For groups of cases, the distribution will be a curve with cases with longer incubation periods creating a right skew
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Epidemiology (Schneider) Spectrum of Disease Exposure Subclinical manifestations Pathological changes Symptoms Clinical illness Time of diagnosis Death Whether a person passes through all these stages will depend upon infection and prevention, detection and therapeutic measures
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Iceberg Concept of Infection Lysis of cell CELL RESPONSE Cell transformation or Cell dysfunction Incomplete viral maturation Subclinical Disease Exposure without cell entry Clinical Disease Fatal Clinical and severe disease Moderate severity Mild Illness Infection without clinical illness Exposure without infection HOST RESPONSE Below visual change Discernable effect
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Epidemiology (Schneider) Spectrum of Disease (cont.) Example 90% of measles cases exhibit clinical symptoms 66% of mumps cases exhibit clinical symptoms <10% of poliomyelitis cases exhibit clinical symptoms Inapparent infections play a role in transmission. These are distinguished from latent infections where the agent is not shed
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Subclinical/Clinical Ratio for Viral Infections >>>>99% <1:10,000 Any age CNS symptoms Rabies >99%1:995 to 20 yearsRash, feverMeasles 60%1.5:1Young adultFever, coughInfluenza 50%2:15 to 20 yearsRashRubella 80% to 95%1.5:1Adult 14%7:1 10 to 15 years 10%11:15 to 9 years 5%20:1< 5 yearsIcterusHepatitis A 50% to 75% 2:1 to 3:116 to 25 years 1% to 10%10:1 to 100:16 to 15 years 1%> 100:1 1 to 5 yearsMononucleosis Epstein-Barr 0.1% to 1.0% + 1000:1 ChildParalysis Polio Clinical cases Estimated ratio Age at infection Clinical feature Virus
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Epidemiology (Schneider) Herd Immunity The decreased probability that a group will develop an epidemic because the proportion of immune individuals reduces the chance of contact between infected and susceptible persons The entire population does not have to be immunized to prevent the occurrence of an epidemic Example: smallpox, measles
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Investigating an Epidemic Determine whether there is an outbreak – an excess number of cases from what would be expected There must be clarity in case definition and diagnostic verification for each case
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Epidemiology (Schneider) Investigating an Epidemic (cont.) Plot an epidemic curve (cases against time) Calculate attack rates If there is no obvious commonality for the outbreak, calculate attack rates based on demographic variables (hepatitis in a community) If there is an obvious commonality for the outbreak, calculate attack rates based on exposure status (a church supper)
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Epidemiology (Schneider) Investigating an Epidemic (cont.) Determine the source of the epidemic If there is no obvious commonality for the outbreak, plot the geographic distribution of cases by residence/work/school/location to reduce common exposures If there is an obvious commonality for the outbreak, identify the most likely cause and investigate the source to prevent future outbreaks
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Epidemiology (Schneider) Index Case Person that comes to the attention of public health authorities Primary Case Person who acquires the disease from an exposure Attack rate Secondary Case Person who acquires the disease from an exposure to the primary case Secondary attack rate
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Epidemiology (Schneider) Calculation of Attack Rate for Food X 64%114776%13310 Attack Rate TotalWell Ill Attack Rate TotalWellIll Did not eat the food (not exposed)Ate the food (exposed) Attack Rate = Ill / (Ill + Well) x 100 during a time period Attack rate = (10/13) x 100 = 76% ( 7/11) x 100 = 64% RR = 75/64 = 1.2
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Epidemiology (Schneider) Secondary Attack Rate Used to estimate to the spread of disease in a family, household, dorm or other group environment. Measures the infectivity of the agent and the effects of prophylactic agents (e.g. vaccine) Secondary attack rate (%) Total number of cases – initial case(s) Number of susceptible persons in the group – initial case(s) = x 100
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Epidemiology (Schneider) Mumps experience of 390 families exposed to a primary case within the family 15258415210-19 87204 420 4505-9 501002503002-4 SecondaryPrimary No. susceptible before primary cases occurred Total Age in years CasesPopulation Secondary attack rate 2-4 years old = (150-100)/(250-100) x 100 = 33%
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Epidemiology (Schneider) Case Fatality Rate Reflects the fatal outcome (deadliness) of a disease, which is affected by efficacy of treatment Case fatality rate (%) Number of deaths due to disease X Number of cases of disease X = x 100
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Epidemiology (Schneider) Assume a population of 1000 people. In one year, 20 are sick with cholera and 6 die from the disease. The cause-specific mortality rate in that year from cholera = The case-fatality rate from cholera = 6 20 =0.3=30% 6 1000 =0.006=0.6%
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