Title: BT EPIDEMIOLOGIC RESPONSE TEAM TRAINING SESSION 1
1BT EPIDEMIOLOGIC RESPONSE TEAM TRAININGSESSION
1
2Objectives of training
- To understand clinical description and
epidemiology - To understand the disease case definition, lab
specimens needed, labs role, and lab tests needed
for confirmation - To understand prevention and control procedures
including available treatment and post-exposure
prophylaxis, isolation and infection control
procedures. - To understand contact tracing and surveillance
procedures
3Team Roles and Responsibilities
- Outbreak management staff
- Case Ascertainment staff/active surveillance
- Face-to-face interviewers
- Telephone interviewers
- Data base support
4Employee Health
- Education of risks of disease from exposure to BT
agents or infectious patients - Vaccination
- Personal protective equipment (PPE)
5BT AGENTS
6Prioritization Categories
- Category A
- High public health impact and public perception
- Variable dissemination potential
- Comprehensive PH preparedness
- Category B
- Less public health impact
- Variable dissemination potential
- Less comprehensive PH preparedness
- Category C
- Addressed with current preparedness efforts
(BT/EID)
7Category A Agents
- Variola virus - smallpox
- Bacillus anthracis - anthrax
- Yersinia pestis - plague
- Francisella tularensis - tularemia
- C. botulinum toxins - botulism
- Filo and Arenaviruses - VHFs
8Characteristics of Category A Agents
- Infectious via aerosol
- Organisms fairly stable in aerosol
- Susceptible civilian populations
- High morbidity and mortality
- Person-to-person transmission
- Difficult to diagnose and/or treat
- Previous development for BW
Priority agents may exhibit all or some of the
above characteristics
9Characteristics of Category B Agents
- Coxiella burnetii Q fever
- Brucella spp. - brucellosis
- Burkholderia mallei - glanders
- Alphaviruses (VEE, WEE, EEE) - encephalitis
- Ricinus communis - Ricin
- Epsilon toxin from clostridium perfingens
- Staphylococcus enterotoxin B
10Category C Agents
- Emerging infectious disease agents (Hantavirus,
Nipah virus, etc.) - Salmonella
- E-coli O157H7
- Vibrio cholerae cholera
- Cryptosporidium parvum - cryptosporidiosis
11OUTBREAK INVESTIGATION
12Definition
- Occurrence of more cases of disease than expected
- Nosocomial outbreak-any group of illnesses of
common etiology occurring in patients of a
medical care facility acquired by exposure of
those patients to the disease agent while
confined in such a facility.
13Reasons to investigate
- Control/prevention
- Research opportunities
- Training
- Public, political, or legal concerns
- Program considerations
14Control / Prevention
- Where are we in the outbreak?
- Goals will be different depending on answer(s)
- Cases continuing to occur
- Goal prevent further cases
- Assess population at risk, implement control
measures - Outbreak appears to be coming to an end
- Goal prevent future outbreaks
- Identify factors contributing to outbreak,
implement measures to prevent similar events in
the future
15Steps of an Outbreak Investigation
161. Preparation
- Investigation
- Scientific knowledge
- Review literature
- Consult experts
- Sample questionnaires
- Supplies
- Consult with laboratory
- Equipment
- Laptop, camera etc.
17Preparation, cont.
- Administration-assure personnel resources,
funding - Travel arrangements (orders)
- Approval
- Personal matters
- Consultation-make sure you know your role and its
parameters - Lead investigator or just lending a hand?
- Know who to contact when you arrive
182. Establish existence of an outbreak
- Is an outbreak truly occurring?
- True outbreak
- Sporadic and unrelated cases of same disease
- Unrelated cases of similar unrelated disease
- Determine the expected number of cases before
deciding whether the observed number exceeds the
expected number
19Establish outbreak existence, cont.
- Comparing observed with expected
- through surveillance records for notifiable
diseases - hospital discharge data, registries, mortality
statistics - data from other facilities, states, surveys of
health care providers - community survey
203. Verify the Diagnosis
- Ensure proper diagnosis and rule out lab error as
the bias for increased diagnosis - Review clinical findings, lab results
- Summarize clinical findings with frequency
distributions - Characterize spectrum of disease
- Verify diagnosis
- Develop case definition
21Verify the Diagnosis cont.
- See and talk with patients if at all possible
- Better understand clinical features
- Mental image of disease and the patients affected
- Gather critical information
- Source of exposure
- What they think caused illness
- Knowledge of others with similar illness
- Common denominators
- Helpful in generating ideas for hypothesis about
etiology and spread
224a. Establish a case definition
- Case definition
- Standard set of criteria for deciding whether an
individual should be classified as having the
health condition of interest - Includes clinical criteria and restrictions by
time, place and person - Must be applied consistently and without bias to
all persons under investigation - Must not contain an exposure of risk factor you
want to test
234a. Establish a case definition, cont.
- Classification
- Definite (confirmed)
- Laboratory confirmed
- Probable
- Typical clinical features without lab
confirmation - Possible (suspected)
- Fewer of the typical clinical features
244a. Establish a case definition, cont.
- Early in investigation may use a loose case
definition - Better to collect more than necessary so you
dont need to make repeat visits - Identify extent of problem and population
affected - Generating hypotheses
- Later when hypotheses are sharpened investigator
may tighten case definition
254b. Identify and count cases
- Target health care facilities where diagnosis
likely to be made - Enhanced passive surveillance e.g. letter
describing situation and asking for reports - Active surveillance e.g. phone or visit facility
to collect information - Alerting the public
- Media alert to avoid contaminated food product
and seek medical attention if symptoms arise
264b. Identify and count cases, cont.
- OB population restricted and large proportion of
cases are unlikely to be diagnosed e.g. on a
cruise ship - Survey entire population
- Always ask case-patients if they know of any
others ill with the same symptoms
274b. Identify and count cases, cont.
- Information to be collected about every case
- Identifying information
- Re-contact if additional questions come up
- Notification of lab results and outcomes of
investigation - Check for duplicate records
- Map geographic extent
- Demographics
- Provide person characteristics for defining
population at risk
284b. Identify and count cases, cont.
- Information to be collected about every case
cont. - Clinical findings
- Verify case definition met
- Chart time course
- Supplemental date e.g. deaths
- Risk factor information
- Tailored to specific disease in question
- Reporter information
- Id of person making report
294b. Identify and count cases, cont.
- Collection forms
- Standard case report form
- Questionnaire
- Data abstraction form
- Line listing
- Abstraction of selected critical items from above
forms - Contains key information
305. Perform Descriptive Epidemiology
- After collection of data characterize the
outbreak by - Time
- Place
- Person
31Time
- Epidemic curve
- Histogram of the number of cases by their date of
onset - Visual display of the outbreaks magnitude and
time trend - Where you are in the time course of the outbreak
- Future course?
- Probable time period of exposure
- Helps in development of questionnaire focusing on
that time period - Common source vs. Propagated
32Place
- Geographic extent of problem
- Clusters or patterns providing important
etiologic clues - Spot maps
- Where cases live, work or may have been exposed
33Person
- Determine what population at risk
- Usually define population by host characteristics
or exposure - Use rates to identify high-risk groups
- Numerator number of case
- Denominator number of people at risk
34Develop Hypotheses
- Hypotheses should address
- Source of the agent
- Mode of transmission
- Vector or vehicle
- Exposure that caused disease
35Develop Hypotheses
- Generating the hypothesis
- What do you know about the disease?
- Reservoir, transmission, common vehicles and
known risk factors - Talk to several case-patients
- Use open ended questions
- Ask lots of questions
- Talk to local health department staff
- Use descriptive epidemiology e.g. epi curve
367. Test Hypotheses
- Evaluate the credibility of your hypotheses
- Compare with established facts
- When clinical, lab, environmental and/or epi data
undoubtedly support hypothesis - Use analytic epidemiology to quantify
relationships and explore the role of chance - Cohort studies
- Case control studies
377. Test Hypotheses, cont.
- Cohort
- Small, well defined population
- Contact each attendee and ask a series of
questions - Ill Vs not ill
- Look for source exposure
- Attack rate is high among those exposed
- Attack rate is low among those not exposed
- Most of the cases were exposed, so that the
exposure could explain most, if not all, of the
cases - Relative risk measure of association between
exposure and disease
387. Test Hypotheses, cont.
- Case-control
- Population not well defined
- Case patients and comparison group (controls)
questioned about exposure(s) - Compute measure of association Odds Ratio
- Quantify relationship between exposure and
disease
398. Refine hypotheses and do additional studies
- Epidemiologic
- When analytical epi unrevealing need to
reconsider your hypotheses - Go back and gather more information
- Conduct different studies
- Laboratory
- Additional tests
- Environmental studies
409. Implement Control /Prevention Measures
- Implement control measures as soon as possible
- May be aimed at agent, source, or reservoir
- Short or long term
4110. Communicate the Findings
- Orally within facility/community
- Local health authorities and persons responsible
for implementation of control and prevention
measures - Written reports (consider publication) for
planning, record of performance, legal issues,
reference, adding to knowledge base