Surveillance
Analysis
Presentation/Communication
Auditing
Outbreaks
100

To describe the burden of illness and monitor trends.

Reasons to do surveillance

100

Calculated as (true +)/(true + plus false -)

Sensitivity
100

Used to present proportions

Pie chart

100

The effect where practices improve when attention is drawn to them

Hawthorne Effect

100

A cluster of cases with a common exposure

An outbreak

200

Existing cases of disease at a point in time

Point prevalence

200

The sum of values divided by total observations

Mean

200

Another name for an epidemic curve

Histogram

200

Gold standard for hand hygiene audits

Direct observation

200

Outbreaks that are reportable in institutions

Gastroenteritis and respiratory infections

300

A group of symptoms occurring together

Syndrome

300

# cases with the disease / total population at risk

Attack rate

300

Used to compare data for groups, stacked or side by side

Bar chart

300

Technique for giving audit feedback

Compliment sandwich

300

An increase in cases above baseline

PIDAC outbreak definition

400

Timely, flexible, sensitive

Ideal surveillance system

400

The denominator is device days

Device-associated infection rate

400
Infographics, written reports, outbreak summaries

Ways of sharing data summaries

400

Direct observation, post-cleaning testing, ATP

Methods of auditing environmental cleaning

400

Change in case definition, testing, screening, or seasonality

Possible reasons for an increase in illness

500

FluWatch, NESP, CNISP

National surveillance programs

500

Can be stratified by surgeon or surgery type

Surgical site infection (SSI) rates

500

Clear title, axis labels, legend

Things that should be on a figure

500

Aims to minimize the frequency, duration and number of antibiotics prescribed

Antibiotic stewardship audit

500

Table summarizing case information (onset dates, symptoms, lab testing)

A line list