Infectious Disease Epidemiology Principles of Epidemiology Lecture 7 Dona Schneider, PhD, MPH, FACE Concepts in Infectious Epidemiology Agent, host, environment Classification of human infections by modes of transportation Incubation period Spectrum of disease Herd immunity 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 Epidemiology (Schneider) 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 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 Epidemiology (Schneider) Classification by Mode of Transmission Dynamics of Spread through Human Populations Spread by a common vehicle Ingestion Salmonellosis Inhalation Legionellosis Inoculation Hepatitis Propagation by serial transfer from host to host Respiratory Measles Anal-oral Shigellosis Genital Syphilis 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 Epidemiology (Schneider) Cycles of Infectious Agent in Nature Man-man Influenza Man-arthropod-man Malaria Vertebrate-vertebrate-man Psittacosis Vertebrate-arthropod-vertebrate-man Viral encephalitis Complex Cycles Helminth infections Epidemiology (Schneider) River blindness 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 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 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 Epidemiology (Schneider) Iceberg Concept of Infection CELL RESPONSE HOST RESPONSE Lysis of cell Discernable Cell transformation effect or Cell dysfunction Incomplete viral Below visual maturation change Exposure without cell entry Fatal Clinical and severe disease Clinical Disease Moderate severity Mild Illness Infection without clinical illness Subclinical Disease Exposure without infection 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 Epidemiology (Schneider) Subclinical/Clinical Ratio for Viral Infections Virus Clinical feature Age at infection Estimated ratio Clinical cases + 1000:1 Paralysis Child Polio Epstein-Barr Mononucleosis 1 to 5 years > 100:1 6 to 15 years 10:1 to 100:1 16 to 25 years 2:1 to 3:1 Hepatitis A Icterus < 5 years 20:1 5 to 9 years 11:1 10 to 15 years 7:1 Adult 1.5:1 Rubella Rash 5 to 20 years 2:1 Influenza Fever, cough Young adult 1.5:1 Measles Rash, fever 5 to 20 years 1:99 CNS symptoms Any age <1:10,000 Rabies 0.1% to 1.0% 1% 1% to 10% 50% to 75% 5% 10% 14% 80% to 95% 50% 60% >99% >>>>99% 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 Epidemiology (Schneider) 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 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) 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 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 Epidemiology (Schneider) Calculation of Attack Rate for Food X Ate the food (exposed) Did not eat the food (not exposed) Ill Well Total Attack Ill Well Total Attack Rate Rate 10 3 13 76% 7 4 11 64% 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 Epidemiology (Schneider) Secondary Attack Rate Secondary Total number of cases – initial case(s) x 100 attack rate = Number of susceptible persons (%) in the group – initial case(s) 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) Epidemiology (Schneider) Mumps experience of 390 families exposed to a primary case within the family Population Cases No. susceptible before Primary primary cases occurred Age in years Total 2-4 300 250 100 50 5-9 450 204 87 10-19 152 420 84 25 15 Secondary attack rate 2-4 years old = (150-100)/(250-100) x 100 = 33% Epidemiology (Schneider) Secondary Case Fatality Rate Number of deaths due to disease X Case fatality = Number of cases of disease X rate (%) Reflects the fatal outcome (deadliness) of a disease, which is affected by efficacy of treatment Epidemiology (Schneider) x 100 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 = 6 1000 = 0.006 = 0.6% The case-fatality rate from cholera = 6 = 0.3 = 30% 20 Epidemiology (Schneider)