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 Inhalation Inoculation
Respiratory Anal-oral Genital
Salmonellosis Legionellosis Hepatitis
Measles Shigellosis Syphilis
Propagation by serial transfer from host to host
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 Man-arthropod-man Vertebrate-vertebrate-man Vertebrate-arthropod-vertebrate-man Influenza Malaria Psittacosis Viral encephalitis
Complex Cycles
Helminth infections River blindness
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
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
Fatal
Clinical and severe disease Clinical Disease
Moderate severity Mild Illness
Incomplete viral Below visual maturation
change Exposure without cell entry
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 0.1% to 1.0% 1% 1% to 10% 50% to 75% 5% 10% 14% 80% to 95% 50% 60% >99% >>>>99%
+ 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
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
Age in years
Cases
Secondary 50 87 15
Total 300 450 152
No. susceptible before Primary primary cases occurred
2-4 5-9 10-19
250
420 84
100 204 25
Secondary attack rate 2-4 years old =
(150-100)/(250-100) x 100 = 33%
Epidemiology (Schneider)
Case Fatality Rate
Case fatality = Number of cases of disease X rate (%)
Number of deaths due to disease X
x 100
Reflects the fatal outcome (deadliness) of a disease, which is affected by efficacy of treatment
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 =
6 1000
= 0.006 = 0.6%
The case-fatality rate from cholera =
6 = 0.3 = 30% 20
Epidemiology (Schneider)