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Epidemiology

Epidemiology

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Epidemiology. Epidemiology is:. The study of the distribution and determinants of health-related states or events in specified populations and the application of this study to the control of health problems . Using data to answer questions of: Who is getting sick? What is making them sick? - PowerPoint PPT Presentation

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Page 1: Epidemiology

Epidemiology

Page 2: Epidemiology

Epidemiology is:

• The study of the distribution and determinants of health-related states or events in specified populations and the application of this study to the control of health problems.

• Using data to answer questions of:• Who is getting sick?• What is making them sick?• How can we use this information to reduce the risk of

others getting sick?

Page 3: Epidemiology

Disease surveillance• The ongoing systematic collection, analysis, and interpretation

of outcome-specific data for use in planning, implementation, and evaluation of public health practice.”

• Data collected in a surveillance system can be used for many purposes, including:– To estimate the magnitude of a health problem in a population– To understand the natural history of a disease– To detect outbreaks or epidemics– To document the distribution of a health event– To test hypotheses about causes of disease– To monitor changes in infectious organisms

Page 4: Epidemiology

Epidemiology is:

• The study of disease at a population level– Endemic vs foreign disease– Sporadic vs epidemic vs pandemic– Disease outbreaks– Rate of disease– Incidence– Prevalence– Risk factors– Relative risk– Odds ratio

Page 5: Epidemiology

Relative risk

• The risk of an event (i.e., developing a disease) relative to exposure

• A mathematical equation: RR = probability of disease occurring in

exposed individuals/ probability in non-exposed

Page 6: Epidemiology

Odds ratio

• A measure of association: compares the odds of disease in those exposed to the odds of disease in those not exposed:

OR = odds of disease in exposed/odds of disease in non-exposed

• An OR of 1 = no difference between groups, so no association between hypothetical exposure/cause and outcome = illness

Page 7: Epidemiology

Probability vs odds?

• The probability that an event will occur is the fraction of times you expect to see that event in many trials. Probabilities always range between 0 and 1.

• The odds are defined as the probability that the event will occur divided by the probability that the event will not occur.

Page 8: Epidemiology

Association ≠ causation!!

• The causation fallacy

Page 9: Epidemiology

Reservoirs

• Human reservoirs: symptomatic vs asymptomatic

• Non-human reservoirs• Environmental reservoirs

Page 10: Epidemiology

Entry and exit strategies• Portal or entry• Portal of exit• Disease transmission:

– Direct contact• Fecal oral transmission• Sexual transmission

– Indirect contact• Fomites

– Droplet transmission– Air: droplet nuclei– Food– Vectors

Page 11: Epidemiology

Vectors

• Mechanical vectors• Biological vectors

Page 12: Epidemiology

Epidemiology of disease

Pathogen• Virulence factors• Dose• Incubation period

Host• Susceptibility to a specific

pathogen: receptors• Acquired immunity

– Active vs passive– Natural vs vaccination

• Herd immunity• General health status• Age• Genetics• Culture

Page 13: Epidemiology

Types of epidemiologic studies

• Descriptive: who, what, where & when• Analytical– Cross sectional– Retrospective– Prospective

• Experimental• Molecular

Page 14: Epidemiology

Cholera outbreak in Haiti 2010

• Identifying the source of the outbreak: a combination of analytical and molecular epidemiology

Page 15: Epidemiology

Infectious disease surveillance

• National Disease Surveillance Network• International Society for Infectious Diseases:

ProMED: http://www.promedmail.org/• CDC: Morbidity and Mortality Weekly Report (MMWR): http://www.cdc.gov/mmwr/• Public health departments• WHO

Page 16: Epidemiology

Emerging infectious diseases

• Novel diseases in a population OR diseases that have a recently increased incidence and/or distribution

• New vs newly recognized

Page 17: Epidemiology

Emerging infectious diseases• Changes in microbes

– Microbial evolution: acquisition of virulence factors, antimicrobial resistance, evasion, invasion or exit strategies

– Expansion of microbial and vector distribution– Expansion of host range

• Environmental changes• Changes in hosts

– Complacency– Global travel– Population expansion– New forms of crowding together in small spaces (i.e., daycare

centers)

Page 18: Epidemiology

Cryptococcus neoformans var. gattii• Increased incidence of cryptococcosis in healthy individuals• Spike in human cases preceded by a spike in canine cases

Page 19: Epidemiology

Healthcare associated infections

• These come from:– Other patients– Healthcare environment– Healthcare workers– Patient’s own microbiota

Page 20: Epidemiology

Infectious disease transmission in a health care setting

• Medical devices = fomites• Healthcare personnel = direct transmission• Airborne transmission