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Presented by: Dr. Timiresh Kumar Das
Moderator: Dr. Neelam Roy
Associate Professor
Dept. of Community Medicine
VMMC & Safdarjung Hospital
 Definitions
 Determinants of disease outbreaks

 Types of epidemics
 Objectives of investigation of outbreak/ epidemic
 Steps of outbreak investigation

 Some examples
 References
 Epidemic: [Greek: epi (upon) demos (the people)]


The occurrence in a community or region of cases of an
illness, specific health related behaviour, or other health
related events clearly in excess of normal expectancy.1
A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.



The “unusual” occurrence in a community or region of
disease, specific health related behaviour, or other health
related events clearly in excess of “expected occurrences”.2
Park’s Textbook of Preventive and Social Medicine – 21st ed; Park JE. 2010



The occurrence in a community or region of a group of
illnesses of similar nature, clearly in excess of normal
expectancy, and derived from a common or from a
propagated source.3
Epidemiology – 4th ed; Gordis L. 2004
 Outbreak:


An epidemic limited to a localised increase in the incidence
of a disease, e.g., in a village, town, or closed institution. (=
upsurge)1
A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.



A term used for a small, usually localised epidemic in the
interest of minimising public alarm.2
Park’s Textbook of Preventive and Social Medicine – 21st ed; Park JE. 2010



An outbreak is the occurrence of illness, specific health
related behaviour, or other event clearly in excess of
normal expectancy in a community in a specified time
period. An outbreak is limited or localised to a village,
town, or closed institution.4
Checklist for CRRT for outbreak investigation, NICD 2008
 According to the Oxford Textbook of Public Health the criteria for

judging that an outbreak has happened can be one of the
following.5


The occurrence of a greater number of cases or events than normally
occur in the same place when compared to the same duration in past
years.




A cluster of cases of the same disease occurs which can be linked to
the same exposure.




E.g. Kaposi's sarcoma, New York - 30 in 1981; only 2-3 previous yrs.

E.g. 3 athletes admitted with acute febrile illness after triathlon in
Springfield, Illinois. Triathlon related to illness. Leptospira.

A single case of disease that has never occurred before or might have a
significant implication for public health policy and practice can be
judged an outbreak which deserves to be investigated.


E.g. - Avian flu (H5N1) Hong Kong in a 3-year boy in May 1997 alerted local
auth. and scientists around the world to start a full-scale investigation.
 Endemic: The constant presence of a disease or

infectious agent within a given geographic area or
population group, without importation from outside;
may also refer to the usual or expected frequency of
the disease within such area or population group.
A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.

 Pandemic: An epidemic usually affecting a large

proportion of the population, occurring over a wide
geographic area such as a section of a nation, the
entire nation, or a continent or the world.
A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.
SUSCEPTIBLE

DISEASE
OUTBREAK

IMMUNE

NO
OUTBREAK

 When formerly isolated populations are exposed to disease.

19th century – measles in Faroe islands.
 When susceptible population is introduced to an endemic
area – streptococcal sore throat outbreaks when new recruits
arrived at Great Lakes Naval Station, USA.
 Herd Immunity: The immunity o f a group or

community. The resistance of a group to invasion
and spread of an infectious agent, based on the
resistance to infection of a high proportion of the
individuals members of the group.1
 When a large proportion of the population is
immune, the entire population is likely to be
protected, not only those who are immune.
 Degree depends on –
Extent of random mixing of the population
 Agent and transmission characteristics.
 Environmental factors.
 Number of susceptibles and immunes in the population.

14
12
10

8

Expected number of cases
if effect limited to vaccines

6

REDUCED BY
HERD IMMUNITY

Number of cases observed

4
2
0
1958

1959

1960

1961
 Incubation Period: Interval from receipt of infection

to the time of onset of clinical illness.1
Important in case of isolating infected people to prevent
transmission.
 Isolation or quarantine should be greater than maximum
incubation period.
 Useful if disease may be introduced into new areas.

 Quarantine: The restriction of activities of well

persons or animals who have been exposed to a case
of communicable disease during its period of
communicability (i.e. contacts) to prevent disease
transmission during incubation period if infection
should occur.1
From quarante giorni (40 days).
 Plague (Black Death) Europe, 1374 – Venetian Republic
 1377, Ragusa detained travellers in an isolated
area, initially for 30 days and, when it did not work, for 40
days

 Common-source epidemics
 Single source

or point source epidemics
 Continuous or multiple exposure epidemics
 Propagated epidemics
 Person

to person
 Arthropod vector
 Animal reservoir
 Slow (modern) epidemics
 Point Source: A point source outbreak occurs

when there is one single source that exists for a
very short time and all cases have common
exposure to it in that same particular period.
 Ex: food poisoning
 Common source single exposure

First case and the last case happen within one
incubation period
 Rapid rise in number of cases followed by rapid decline




Example:
 Food poisoning

due to spoiled food item in a feast.
 Bhopal gas tragedy ( 198
 Common source multiple exposure: There is only one

source, which provides continuous or intermittent
exposure over a longer period
 Example:


Prostitute transmitting STD to her clients



Typhoid Mary



Water supply contamination due to leaky pipes.
 Continuous

if leak is constant.
 Intermittent if leak occurs during pressure variations.
 Propagated epidemic: This

kind of outbreak is
caused by a transmission from one person to
another person.
 Example: SARS, H1N1 influenza
To define the magnitude
 To determine the particular conditions and
factors responsible for the occurrence of the
epidemic
 To identify the cause, source of infection, and
modes of transmission
 To formulate prevention and control measures












To control the current outbreak.
Prevention of future outbreaks.
Describe new diseases and learn more about known
diseases.
Evaluation of the effectiveness of prevention
programmes.
Evaluation of the effectiveness of the existing
surveillance system.
Training health professionals.
Responding to public, political, or legal concern .
 The first person who comes across news

of an outbreak / The health worker/ ANM
 PHC medical officer / the CHC in charge
 The District health officer / District RRT

or DEIT/ State RRT
 Specialized agencies like NCDC (NICD).
1. Verification of the diagnosis
2. Confirmation of existence of outbreak

3. Defining population at risk – Map, Count
4. Rapid search for cases and characteristics
5. Data Analysis – Time, Place, Person

6. Formulation of hypothesis
7. Testing of hypothesis
8. Evaluation of ecological factors

9. Further investigations
10. Reporting
 Verify rumours
 Technical, Administrative and Logistics

arrangement
 Prepare Outbreak Management Kit according to
initial information
 Brief members of the investigating team regarding
Roles & responsibilities
 Methods of personal protection


Team composed of:
1. Nodal officer (Epi/ PHS)
2. Clinician
3. Microbiologist

4. Health Assistant
5. District/ Local administration
nominee
6. Other personnel as required


Verification of the diagnosis is usually made on
clinical and laboratory parameters.

 Ensure that the problem has been properly

diagnosed -- the outbreak really is what it has been
reported to be
 Review

clinical findings and laboratory results for
affected people
 Visit or talk to several of the people who became ill

For outbreaks involving infectious or toxic chemical
agents, be certain that the increase in diagnosed
cases is not the result of a mistake in the
laboratory.
 Incidence rate is calculated by dividing the total cases

by the population at risk.
7 ye ar ave rage incide nce vs . 2003 incide nce of D e ngue in

2003

D e lhi

av g

2000

1861

1800
1600
1400
n o . o f c as e s

 This rate is
compared with the
rate occurring in
the same
population, during
the corresponding
period of the
previous years.

1200

1189

1000
800

600

600

0

200

0

0

400

0

0

0

0

0

1

0

0

0

F

M

A

M

J

10

4

J

213
2

1

0
J

15

362

A

months of reporting

148

101
S

O

N

D
•
•
•
•
•

Clustering of cases or deaths
Increases in cases or deaths
Single case of disease of epidemic potential
Acute febrile illness of an unknown etiology
Two or more linked cases of disease with outbreak
potential(e.g., Measles, Cholera, Dengue, Japanese
encephalitis or plague)

•
•
•
•
•
•

Unusual isolate (Cholera O 139)
Unusual presentation
Environmental factors e.g. rainfall, climate
Shift in age distribution of cases
High vector density
Natural disasters
 Rumour register


To be kept in standardized format in each
institution

 Community informants


Private and public sector

 Media


Important source of information, not to neglect

 Review of routine data – surveillance data


Triggers (There are triggers for each condition under
surveillance, Various trigger levels may lead to local or
broader response)
 Threshold for diseases under surveillance that trigger pre-

determined actions at various levels
 Based upon the number of cases in weekly report
 Trigger levels depend on:
 Type of disease
 Case fatality (Death / case ratio)
 Number of evolving cases
 Usual trend in the region
Trigger

Significance

Levels of response

1

Suspected /limited outbreak

• Local response by health
worker and medical officer

2

Outbreak

• Local and district response
by district surveillance
officer and rapid response
team

3

Confirmed outbreak

• Local, district and state

4

Wide spread epidemic

• State level response

5

Disaster response

• Local, district, state and
centre
 Examples:


Trigger levels for Dengue
 Trigger

1

• Clustering of 2 similar case of probable Dengue fever in a village
• Single case of Dengue hemorrhagic fever
 Trigger

2

• More than 4 cases of Dengue fever in a village 1000 population.


Triggers for syndromic surveillance
 Fever

• More than 2 similar case in the village (1000 Population)
 Jaundice

• More than two cases of jaundice in different houses irrespective
of age in a village or 1000 population
Disease alerts/
outbreaks
reported and
responded to by
states/ UTs
through IDSP;
2nd week (ending
15th
January, 2012)
• Severity of illness
• Number of cases
• Source / mode of transmission
• Availability of preventive & control measures
• Availability of staff & resources
• Public, political and legal concerns
• Public health program considerations
•Potential to affect others if the control
measures are not taken
• Research opportunity
 Pseudo-outbreaks:
 Artifact

in the numerator:
 Increased awareness
 Reporting of prevalent cases as incident cases (e.g.;
hepatitis C, sleeping sickness)
 Laboratory error
 Variation of the denominator:
 Rapidly changing population denominators
 Migrants or refugees
 Obtain a map of the area

 Counting of the population
 Helps to calculate the denominator for further

calculation of attack rates.
 Provides us with the possible number of people at
risk.
 Mapping helps us to know area: ecological and
environmental factors.
 Map :

Detailed, Current map of the area.
 If not available – prepare
 Information: Natural landmarks, Roads, All dwelling
units, Sources of water, Other important features


 Counting:

Census by age and sex
 Lay health workers
 House to house visits

 Includes: Framing a case definition, searching for

cases and doing a epidemiological survey.
 A case definition is a standard set of criteria for

deciding whether an individual should be classified as
having the health condition of interest.
 Criteria






Clinical and/or biological criteria,
Time
Place
Person

 Case definition should be

balanced, practical, reliable and applied without bias.
Example - Measles: 3 definitions
 Fever and runny nose
 Too sensitive
 Too many other illnesses produce same symptoms
 Call many illnesses “measles”
 Fever and rash and Koplik’s spots and conjunctivitis
 Too specific
 Many cases of measles do not have all these signs
 Miss many real cases of measles
 IDSP case definition: Fever of 3-7 days duration, with

generalized maculopapular rashes; with history of cough, coryza,
conjunctivitis or Koplik’s spots.
 Suspect -Fewer of the typical clinical features
 Probable- Typical clinical features of the disease

without laboratory confirmation.
 Confirmed- Typical clinical features with laboratory
verification.
Confirmed Case
Laboratory
Verification

++

Possible Case

+

Clinical
Features

Probable Case

++

+
 Example: E. coli O157 outbreak at

Restaurant X on 31/3/2010
 Possible: diarrhea (3 loose stools per day) and

ate food purchased at restaurant X on 31/3
 Probable: bloody diarrhea and ate food
purchased at restaurant X during on 31/3
 Confirmed: culture positive with “outbreak”
PFGE pattern and ate food purchased from
restaurant X on 31/3
 Case Definition may need to be updated within
an investigation
 Broad to specific
 Infection

with E. coli O157 vs. infection with the outbreak
strain (defined by PFGE pattern)

 Location of exposure
 SARS outbreak (travel

within 10 d of onset):

• In February: China/HK/Hanoi/Singapore
• In April: Toronto, Canada added
• In May: Taiwan added

 Dates of exposure can change
 SARS

outbreak: to meet the case definition-dates of
exposure dependant on location of exposure
 The first cases to be recognized are usually only a small

proportion of the total number

 To identify other cases, use as many sources possible


Passive Surveillance - Relies on routine notifications by
healthcare personnel



Active Surveillance - Involves regular outreach to potential
reporters to stimulate reporting of specific conditions;
investigators are sent to the afflicted area to collect more
information
 Contact physician offices, hospitals, schools to find
persons with similar symptoms or illnesses
 Send out a letter, telephone or visit the facilities to collect
information
 Through media alerts asking people to get checked
WHY TO SEARCH

Iceberg phenomenon

40
 The information is collected by “line listing”.


A line list is like a nominal roll of the cases being reported
to the various health care establishments (like
dispensaries, general practitioners or admitted to the
hospitals)
 Constitutes and updates a database of cases
 Done by hand or by Excel.
 The survey team will go for “door to door” survey

in the affected area and ask if any person had
suffered with symptoms fitting into case definition
(Rapid Household Survey)
 If yes, their details were recorded on the
epidemiological case - sheet and required samples
are taken and dispatched to the hospital/ reference
laboratory.
Epidemiological case sheet = Case interview form
 Detailed information from the case relevant to the
disease under study.

Information includes:
• Name, Age, Sex, Occupation, Social class
• Time of onset of disease, Signs & Symptoms
• Personal contact at home, work, school
• Travel history, attendance at large gatherings
• History of previous exposure/injections,
• Special events such as parties attended, foods
eaten, and exposure to common vehicles such as
water, food and milk
 Active door-to-door collection of information is by

“ Rapid Household Survey”
 Characterizing an outbreak by time, place and

person is called descriptive epidemiology.

 Descriptive epidemiology is important because:


What is reliable and informative (e.g., similar exposures)



What may not be as reliable (e.g., many missing
responses to a particular question)



Provides a comprehensive description of an outbreak by
showing its trend over time, its geographic extent (place)
and the populations (people) affected by the disease
 Development of

proportional
distribution of cases
according to host
characteristics
(age, race, sex)
or
by exposures
(occupation, leisure
activities, use of
medications, tobacco,
drugs).
 Count


Count the cases in each age and sex groups

 Divide


Obtain census denominators for each age and sex groups

 Compare


Estimate the incidence for each:
 Age

group
 Sex group
 An attack rate is the proportion of a well-defined

population that develops illness over a limited
period of time, such as during an epidemic or
outbreak
 What are the age and gender specific attack rates?
 What age and gender groups are at highest and

lowest risk of illness?
 In what other ways do the characteristics of the
cases differ significantly from those of the
general population?
Purpose => Identification of sub-group(s) at risk
Attack rate of measles by age and
sex, Cuddalore, Tamil Nadu,
India, 2004-2005
Characteristics

Age group

Number of Population
cases

Attack
rate per
100,000

255,755

19.6

51

1,795,383

2.8

Male

48

1,032,938

4.6

Female
Total

50

5+

Sex

0-4

53

1,018,200

5.2

101

2,051,138

4.9
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%

Protestants
Coptic Christians

Muslims

Population

Cases of Botulism

BOTULISM OUTBREAK IN CAIRO, EGYPT - APRIL1993

Weber JT, Hibbs RG Jr, Darwish A, et al. A massive outbreak of type E botulism associated with
traditional salted fish in Cairo. J Infect Dis 1993; 167: 451-454
What is the exact period of the outbreak?
What is the probable period of exposure?
Is the outbreak likely common source or
propagated?
Drawing the epidemic curve based on time distribution of cases
2. Eyeball
distribution
to choose interval

1. Count cases by
time of onset

3. Finalize
 Interpretation of epidemic curve

Shape – type of epidemic
 An early case in the curve may represent source of the
epidemic
 Give information about the time course of an epidemic
and what the future course might be
 In a point-source epidemic of a known disease with a
known incubation period, epidemic curve provides
information to identify a likely period of exposure
 Shape of epidemic curve illustrates type of epidemic.

Mean incubation period
Common source single exposure:
 Sharp increase followed by a rapid decline.
Continuous common source outbreak:
 An abrupt increase in the number of cases but, new cases

persist for a longer time with a plateau shape instead of a
peak before decreasing.
• Intermittent common source:
multiple peaks
 Propagated source outbreak:

Number of cases

 Increase in the number of cases with progressive peaks

16
14
12
10
8
6
4
2
0
1

4

7 10 13 16 19 22 25 28 31 34
Date
 The spatial relationships

of cases are shown best
on a spot map.
 A spot map showing
the location of cases can
give an idea of the
source of infection like
maps show that the
cases occurred in
proximity to a body of
water, a sewage
treatment plant, or its
outflow.

DRAWING A ROUGH SPOT MAP
 Questions to be asked and answered:
 What is the most significant geographic distribution

of cases?
 Place of residence? Workplace?
 Do the attack rates vary by place?
 Relation to any landmark or possible source?


Usually we generate hypotheses from the beginning of
the outbreak, however, at this point, the hypotheses
are sharpened and more accurately focused.

 To consider what is known about the disease itself:

What is the agent’s usual reservoir?
B. How is it usually transmitted?
C. What vehicles are commonly implicated?
D. What are the known risk factors?
A.
 Talk to people who are ill: In-depth open

interviews, Group discussions
 Hypotheses should be proposed in a way that they

can be tested.
 After a hypothesis is formulated, one should be able to

show that:
 all additional cases, lab data, and epidemiologic
evidence are consistent with the initial hypothesis


no other hypothesis fits the data as well

 Observations that add weight to validity:
 The greater the degree of exposure (or higher dosage

of the pathogen), the higher the incidence of disease
 Higher incidence of disease in the presence of one risk
factor relative to other factors
 Approaches:
 Comparison of hypothesis with known/ established facts.
 Analytic epidemiology to test the hypothesis
 First method is used when the evidence is so strong

that hypothesis need not be tested


Example - A 1991 investigation of an outbreak of vitamin D
intoxication in Massachusetts.
All affected drank milk from local dairy.
Hypothesis - dairy was source, milk vehicle of excess vit D.
Visit to dairy, they quickly recognized that far more than
the recommended dose of vitamin D was inadvertently
being adding to the milk.
No further analysis was necessary.
 Analytic epidemiology is used when cause is less

clear.
Cohort studies
 Case control studies


 What to use?
Case
control
Rare disease/ large community
Common disease/ small community
Complete population accessible
Large amount of resources
Limited resources

Cohort

+++

-

-

+++

+/-

+++

+

++

+++

-
Example:
Case control study for an outbreak of Acute Gastroenteritis
following a dinner.
FOOD

ATE and ILL
N (%)

ATE and NOT ILL
N (%)

ODDS RATIO

TOMATOES

14 (82)

30 (86)

0.83

CHICKEN

13 (71)

34 (94)

0.11

ALFAALFA
SPROUTS

10 (67)

6 (17)

8.25
 These are additional studies undertaken to

corroborate the findings of the epidemiological
study.


Environmental studies

 Microbiological studies


Entomological studies
 Environmental studies often help explain why an

outbreak occurred and may be very important in
certain settings.


Example: Site of contamination of irrigation canal with
cattle urine in an outbreak of Leptospirosis in
southeastern Washington, August 1964.
Pond connected to
irrigation canal
And
Cattle around the site
 Microbiological studies can clinch the relationship

between suspected source and outbreak.


Example: In the above outbreak of Leptospirosis, culture
of urine from the cattle, water of the canal and blood of
affected children yielded the same strain of L. pomona.
Also, the children who had recovered showed increased
anti leptospiral antibodies.
 Entomological studies help identify the vector

responsible for the outbreak.


May also give useful insight into the life cycle of the
pathogen and the mode of transmission

Example:
Vector surveillance
in Chikungunya
affected villages of
Latur and Beed
districts of
Maharashtra, 2006
 Additional epidemiologic studies


What questions remain unanswered about the disease?



What kind of study used in a particular setting would
answer these questions?



When analytic studies do not confirm the hypotheses
 reconsider the

original hypotheses

 look for

new vehicles or modes of transmission
 Additional investigations
 Further lab studies
 Refine hypothesis till confirmation
 Report provides a blueprint for action.
 It also serves as a record of performance and a

document for potential legal issues.
 It serves as a reference if the health department

encounters a similar situation in the future.
 In public health literature serves the purpose of

contributing to the knowledge base of epidemiology
and public health
 Daily interim reports and final report.
Contents of a Report:
1. Back ground
2. Historical data
3. Methodology of investigation
4. Analysis of data (clinical data, Epidemiological
data, modes of transmission, Lab data,
Interpretation of data)
5. Control measures
6. Evaluation
7. Preventive measures
Report to be submitted
by investigating
officer/ team to the
next higher authority
within one week of
completion of
investigations
 Appropriate control measures
 based on Epidemiological, Clinical, Environmental

findings
 To prevent further spread of disease
 The elements of epidemic control include:
1. Controlling the source of the pathogen (if known)

Remove or inactivate the pathogen
2. Interrupting the transmission.
Sterilize environmental source of spread; vector control
3. Modifying the host response to exposure.
Immunization; Prophylactic chemotherapy
 Control measures should be implemented at

the earliest.
 DO NOT wait for laboratory confirmation to

start control measures.
 Follow up of outbreak
 Detect last case
 Detect and treat late complications
 Complete documentation
 Evaluation of outbreak management including

investigations (by local authorities)
Genesis of outbreak
 Early or late detection of outbreak
 Preparedness for outbreak
 Management of the outbreak
 Control measures taken and their impact

 Documentation and sharing the lessons learnt

Post outbreak seminar.
 Feedback to local health authorities, RRTs and other
concerned.
 Developing case studies on selected outbreaks for
training purposes.

Audience

Medium

Focus of the
content

Communication
objective

Epidemiologists,
laboratory

•Report

•Epidemiology

•Documentation of
the source

Public health
managers

•Summary

•Recommendations

•Action

Political leaders

•Briefing

•Control measures

•Evidence that the
situation is under
control

Community

•Press release,
interview

•Health education

•Personal steps
towards prevention

Scientific
community

•Presentation,
manuscript

•Science

•Scientific progress

POSSIBLE MATRIX FOR COMMUNICATION OF
INVESTIGATION RESULTS AND FINDINGS
 An outbreak of fever, URI & loose motion among the

boarders of PTS, Jharoda kalan, Delhi was reported to
the MS of SJH by CDMO of SW district of Delhi on
10.07.09 .
 Cause for concern – Panic d/t novel H1N1 cases in Delhi
 RRT composition –
Epidemiologist, Physician, Microbiologist and other
doctors. (11.07.09)
 Case definition: A person with acute onset of fever with
or without sore throat, diarrhea, headache, body ache
starting from 2nd July 2009 onward.
 Line listing, Epidemiological case sheet (with travel
history), Lab analysis of samples for H1N1.
 Descriptive:

Time – Start = 2nd Jul, Peak = 7th Jul, Fall afterwards
 Place – Start in Tent # 40, 25 & 8; then spread. clustered
around tent no 1,9,20, 22, 27, 36 &37.
 Person – 61 cases. Mean age 22.2 yrs (20-49).


 Environmental: Crowded, ill ventilated tents. Humid

environment with low temperature.
 Lab: H1N1 negative. Influenza A +ve.
 Recommendations:




Reduce crowding, Improve ventilation
Increase staffing in dispensary and Proper record maintainance
Prompt identification and reporting of changes in disease
frequency.
 Outbreak of jaundice among the residents of Sector 8 of

RK Puram, New Delhi was reported to the MS of SJH by
CDMO of SW district of Delhi on 06.04.2011.
 Initial report by DSO suggested sudden onset of

jaundice.
 RRT – Epidemiologist, Physician, Microbiologist and

other personnel. To CGHS, dispensary on 06.04.2011
 Case defn : A person with signs and symptoms of

jaundice with or without elevated serum
aminotransferase levels from 1st January 2011 onwards
 Verification of outbreak by review of records of CGHS

dispensary.
 Rapid survey, Line listing, Spot map, Clinical

examination, Epidemiological case sheet, Blood
samples, Environmental study
 Descriptive:
Time – Rise from 15th Jan, Peak 1st week March, Decline
afterwards. Max cases in March (11/21)
 Place – Clustering around N block & adjacent to Palam rd
 Person – 15-30 yrs (50%), M > F (58.3/ 41.7)


 Lab: 3/5 recent cases +ve for Anti HEV IgM.

2/6 water samples – Fecal contamination
 Environmental: Water & sewer lines running

close, Intermittent water supply – Booster
pumps, Latrine near water storage tank, Sewer lines not
de-silted – overflowing, Damaged water lines. Absent
residual chlorine.
 Conclusion: Confirmed outbreak of jaundice. Lab results
 Acute Hepatitis E. Damaged water lines and
contamination from sewer lines responsible.
 Recommendations:
Proper record maintenance in CGHS dispensary(diagnosis, S/s)
 Monitoring and repairing of water lines
 Sewer lines should not be close to water supply pipeline
 Regular de-silting and cleaning of sewer line.
 Proper chlorination of water supply.

1. A Dictionary of Epidemiology – 3rd ed; Last JM.
2.
3.
4.
5.
6.

2000.
Park’s Textbook of Preventive and Social Medicine
– 21st ed; Park JE. 2010.
Epidemiology – 4th ed; Gordis L. 2004.
Checklist for CRRT for outbreak investigation, NICD
2008
Oxford Textbook of Public Health – 4th ed; 2002
Mausner & Bahn Epidemiology: An Introductory
Text – 2nd ed; Mausner JS, Kramer S. 1985.
7. R Bonita, R Beaglehole, T Kjellström. Basic

Epidemiology: WHO;2nd Edition.
8. Outbreak Investigations Around The World: Case
Studies in Infectious Disease Field Epidemiology;
Mark S Dworkin. 2010
9. Steps of outbreak investigation; Epidemiology in
the classroom. Excite, CDC. From www.cdc.gov
10. Raut DK, Roy N, Nair D, Sharma R. Influenza A virus
outbreak in Police Training School, Najafgarh, Delhi
– 2009. Indian J Med Res; Dec 2010; 132: 731-732
LARGE OUTBREAKS FROM AROUND THE WORLD –
WHO, 1999

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outbreak investigation - types of epidemics and investigating them

  • 1. Presented by: Dr. Timiresh Kumar Das Moderator: Dr. Neelam Roy Associate Professor Dept. of Community Medicine VMMC & Safdarjung Hospital
  • 2.  Definitions  Determinants of disease outbreaks  Types of epidemics  Objectives of investigation of outbreak/ epidemic  Steps of outbreak investigation  Some examples  References
  • 3.  Epidemic: [Greek: epi (upon) demos (the people)]  The occurrence in a community or region of cases of an illness, specific health related behaviour, or other health related events clearly in excess of normal expectancy.1 A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.  The “unusual” occurrence in a community or region of disease, specific health related behaviour, or other health related events clearly in excess of “expected occurrences”.2 Park’s Textbook of Preventive and Social Medicine – 21st ed; Park JE. 2010  The occurrence in a community or region of a group of illnesses of similar nature, clearly in excess of normal expectancy, and derived from a common or from a propagated source.3 Epidemiology – 4th ed; Gordis L. 2004
  • 4.  Outbreak:  An epidemic limited to a localised increase in the incidence of a disease, e.g., in a village, town, or closed institution. (= upsurge)1 A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.  A term used for a small, usually localised epidemic in the interest of minimising public alarm.2 Park’s Textbook of Preventive and Social Medicine – 21st ed; Park JE. 2010  An outbreak is the occurrence of illness, specific health related behaviour, or other event clearly in excess of normal expectancy in a community in a specified time period. An outbreak is limited or localised to a village, town, or closed institution.4 Checklist for CRRT for outbreak investigation, NICD 2008
  • 5.  According to the Oxford Textbook of Public Health the criteria for judging that an outbreak has happened can be one of the following.5  The occurrence of a greater number of cases or events than normally occur in the same place when compared to the same duration in past years.   A cluster of cases of the same disease occurs which can be linked to the same exposure.   E.g. Kaposi's sarcoma, New York - 30 in 1981; only 2-3 previous yrs. E.g. 3 athletes admitted with acute febrile illness after triathlon in Springfield, Illinois. Triathlon related to illness. Leptospira. A single case of disease that has never occurred before or might have a significant implication for public health policy and practice can be judged an outbreak which deserves to be investigated.  E.g. - Avian flu (H5N1) Hong Kong in a 3-year boy in May 1997 alerted local auth. and scientists around the world to start a full-scale investigation.
  • 6.  Endemic: The constant presence of a disease or infectious agent within a given geographic area or population group, without importation from outside; may also refer to the usual or expected frequency of the disease within such area or population group. A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.  Pandemic: An epidemic usually affecting a large proportion of the population, occurring over a wide geographic area such as a section of a nation, the entire nation, or a continent or the world. A Dictionary of Epidemiology – 3rd ed; Last JM. 2000.
  • 7. SUSCEPTIBLE DISEASE OUTBREAK IMMUNE NO OUTBREAK  When formerly isolated populations are exposed to disease. 19th century – measles in Faroe islands.  When susceptible population is introduced to an endemic area – streptococcal sore throat outbreaks when new recruits arrived at Great Lakes Naval Station, USA.
  • 8.  Herd Immunity: The immunity o f a group or community. The resistance of a group to invasion and spread of an infectious agent, based on the resistance to infection of a high proportion of the individuals members of the group.1  When a large proportion of the population is immune, the entire population is likely to be protected, not only those who are immune.  Degree depends on – Extent of random mixing of the population  Agent and transmission characteristics.  Environmental factors.  Number of susceptibles and immunes in the population. 
  • 9. 14 12 10 8 Expected number of cases if effect limited to vaccines 6 REDUCED BY HERD IMMUNITY Number of cases observed 4 2 0 1958 1959 1960 1961
  • 10.  Incubation Period: Interval from receipt of infection to the time of onset of clinical illness.1 Important in case of isolating infected people to prevent transmission.  Isolation or quarantine should be greater than maximum incubation period.  Useful if disease may be introduced into new areas. 
  • 11.  Quarantine: The restriction of activities of well persons or animals who have been exposed to a case of communicable disease during its period of communicability (i.e. contacts) to prevent disease transmission during incubation period if infection should occur.1 From quarante giorni (40 days).  Plague (Black Death) Europe, 1374 – Venetian Republic  1377, Ragusa detained travellers in an isolated area, initially for 30 days and, when it did not work, for 40 days 
  • 12.  Common-source epidemics  Single source or point source epidemics  Continuous or multiple exposure epidemics  Propagated epidemics  Person to person  Arthropod vector  Animal reservoir  Slow (modern) epidemics
  • 13.  Point Source: A point source outbreak occurs when there is one single source that exists for a very short time and all cases have common exposure to it in that same particular period.  Ex: food poisoning
  • 14.  Common source single exposure First case and the last case happen within one incubation period  Rapid rise in number of cases followed by rapid decline   Example:  Food poisoning due to spoiled food item in a feast.  Bhopal gas tragedy ( 198
  • 15.  Common source multiple exposure: There is only one source, which provides continuous or intermittent exposure over a longer period  Example:  Prostitute transmitting STD to her clients  Typhoid Mary  Water supply contamination due to leaky pipes.  Continuous if leak is constant.  Intermittent if leak occurs during pressure variations.
  • 16.  Propagated epidemic: This kind of outbreak is caused by a transmission from one person to another person.  Example: SARS, H1N1 influenza
  • 17. To define the magnitude  To determine the particular conditions and factors responsible for the occurrence of the epidemic  To identify the cause, source of infection, and modes of transmission  To formulate prevention and control measures 
  • 18.        To control the current outbreak. Prevention of future outbreaks. Describe new diseases and learn more about known diseases. Evaluation of the effectiveness of prevention programmes. Evaluation of the effectiveness of the existing surveillance system. Training health professionals. Responding to public, political, or legal concern .
  • 19.  The first person who comes across news of an outbreak / The health worker/ ANM  PHC medical officer / the CHC in charge  The District health officer / District RRT or DEIT/ State RRT  Specialized agencies like NCDC (NICD).
  • 20. 1. Verification of the diagnosis 2. Confirmation of existence of outbreak 3. Defining population at risk – Map, Count 4. Rapid search for cases and characteristics 5. Data Analysis – Time, Place, Person 6. Formulation of hypothesis 7. Testing of hypothesis 8. Evaluation of ecological factors 9. Further investigations 10. Reporting
  • 21.  Verify rumours  Technical, Administrative and Logistics arrangement  Prepare Outbreak Management Kit according to initial information  Brief members of the investigating team regarding Roles & responsibilities  Methods of personal protection  Team composed of: 1. Nodal officer (Epi/ PHS) 2. Clinician 3. Microbiologist 4. Health Assistant 5. District/ Local administration nominee 6. Other personnel as required
  • 22.  Verification of the diagnosis is usually made on clinical and laboratory parameters.  Ensure that the problem has been properly diagnosed -- the outbreak really is what it has been reported to be  Review clinical findings and laboratory results for affected people  Visit or talk to several of the people who became ill For outbreaks involving infectious or toxic chemical agents, be certain that the increase in diagnosed cases is not the result of a mistake in the laboratory.
  • 23.  Incidence rate is calculated by dividing the total cases by the population at risk. 7 ye ar ave rage incide nce vs . 2003 incide nce of D e ngue in 2003 D e lhi av g 2000 1861 1800 1600 1400 n o . o f c as e s  This rate is compared with the rate occurring in the same population, during the corresponding period of the previous years. 1200 1189 1000 800 600 600 0 200 0 0 400 0 0 0 0 0 1 0 0 0 F M A M J 10 4 J 213 2 1 0 J 15 362 A months of reporting 148 101 S O N D
  • 24. • • • • • Clustering of cases or deaths Increases in cases or deaths Single case of disease of epidemic potential Acute febrile illness of an unknown etiology Two or more linked cases of disease with outbreak potential(e.g., Measles, Cholera, Dengue, Japanese encephalitis or plague) • • • • • • Unusual isolate (Cholera O 139) Unusual presentation Environmental factors e.g. rainfall, climate Shift in age distribution of cases High vector density Natural disasters
  • 25.  Rumour register  To be kept in standardized format in each institution  Community informants  Private and public sector  Media  Important source of information, not to neglect  Review of routine data – surveillance data  Triggers (There are triggers for each condition under surveillance, Various trigger levels may lead to local or broader response)
  • 26.  Threshold for diseases under surveillance that trigger pre- determined actions at various levels  Based upon the number of cases in weekly report  Trigger levels depend on:  Type of disease  Case fatality (Death / case ratio)  Number of evolving cases  Usual trend in the region
  • 27. Trigger Significance Levels of response 1 Suspected /limited outbreak • Local response by health worker and medical officer 2 Outbreak • Local and district response by district surveillance officer and rapid response team 3 Confirmed outbreak • Local, district and state 4 Wide spread epidemic • State level response 5 Disaster response • Local, district, state and centre
  • 28.  Examples:  Trigger levels for Dengue  Trigger 1 • Clustering of 2 similar case of probable Dengue fever in a village • Single case of Dengue hemorrhagic fever  Trigger 2 • More than 4 cases of Dengue fever in a village 1000 population.  Triggers for syndromic surveillance  Fever • More than 2 similar case in the village (1000 Population)  Jaundice • More than two cases of jaundice in different houses irrespective of age in a village or 1000 population
  • 29. Disease alerts/ outbreaks reported and responded to by states/ UTs through IDSP; 2nd week (ending 15th January, 2012)
  • 30. • Severity of illness • Number of cases • Source / mode of transmission • Availability of preventive & control measures • Availability of staff & resources • Public, political and legal concerns • Public health program considerations •Potential to affect others if the control measures are not taken • Research opportunity
  • 31.  Pseudo-outbreaks:  Artifact in the numerator:  Increased awareness  Reporting of prevalent cases as incident cases (e.g.; hepatitis C, sleeping sickness)  Laboratory error  Variation of the denominator:  Rapidly changing population denominators  Migrants or refugees
  • 32.  Obtain a map of the area  Counting of the population  Helps to calculate the denominator for further calculation of attack rates.  Provides us with the possible number of people at risk.  Mapping helps us to know area: ecological and environmental factors.
  • 33.  Map : Detailed, Current map of the area.  If not available – prepare  Information: Natural landmarks, Roads, All dwelling units, Sources of water, Other important features   Counting: Census by age and sex  Lay health workers  House to house visits 
  • 34.  Includes: Framing a case definition, searching for cases and doing a epidemiological survey.  A case definition is a standard set of criteria for deciding whether an individual should be classified as having the health condition of interest.  Criteria     Clinical and/or biological criteria, Time Place Person  Case definition should be balanced, practical, reliable and applied without bias.
  • 35. Example - Measles: 3 definitions  Fever and runny nose  Too sensitive  Too many other illnesses produce same symptoms  Call many illnesses “measles”  Fever and rash and Koplik’s spots and conjunctivitis  Too specific  Many cases of measles do not have all these signs  Miss many real cases of measles  IDSP case definition: Fever of 3-7 days duration, with generalized maculopapular rashes; with history of cough, coryza, conjunctivitis or Koplik’s spots.
  • 36.  Suspect -Fewer of the typical clinical features  Probable- Typical clinical features of the disease without laboratory confirmation.  Confirmed- Typical clinical features with laboratory verification. Confirmed Case Laboratory Verification ++ Possible Case + Clinical Features Probable Case ++ +
  • 37.  Example: E. coli O157 outbreak at Restaurant X on 31/3/2010  Possible: diarrhea (3 loose stools per day) and ate food purchased at restaurant X on 31/3  Probable: bloody diarrhea and ate food purchased at restaurant X during on 31/3  Confirmed: culture positive with “outbreak” PFGE pattern and ate food purchased from restaurant X on 31/3
  • 38.  Case Definition may need to be updated within an investigation  Broad to specific  Infection with E. coli O157 vs. infection with the outbreak strain (defined by PFGE pattern)  Location of exposure  SARS outbreak (travel within 10 d of onset): • In February: China/HK/Hanoi/Singapore • In April: Toronto, Canada added • In May: Taiwan added  Dates of exposure can change  SARS outbreak: to meet the case definition-dates of exposure dependant on location of exposure
  • 39.  The first cases to be recognized are usually only a small proportion of the total number  To identify other cases, use as many sources possible  Passive Surveillance - Relies on routine notifications by healthcare personnel  Active Surveillance - Involves regular outreach to potential reporters to stimulate reporting of specific conditions; investigators are sent to the afflicted area to collect more information  Contact physician offices, hospitals, schools to find persons with similar symptoms or illnesses  Send out a letter, telephone or visit the facilities to collect information  Through media alerts asking people to get checked
  • 40. WHY TO SEARCH Iceberg phenomenon 40
  • 41.  The information is collected by “line listing”.  A line list is like a nominal roll of the cases being reported to the various health care establishments (like dispensaries, general practitioners or admitted to the hospitals)  Constitutes and updates a database of cases  Done by hand or by Excel.
  • 42.
  • 43.  The survey team will go for “door to door” survey in the affected area and ask if any person had suffered with symptoms fitting into case definition (Rapid Household Survey)  If yes, their details were recorded on the epidemiological case - sheet and required samples are taken and dispatched to the hospital/ reference laboratory. Epidemiological case sheet = Case interview form  Detailed information from the case relevant to the disease under study. 
  • 44. Information includes: • Name, Age, Sex, Occupation, Social class • Time of onset of disease, Signs & Symptoms • Personal contact at home, work, school • Travel history, attendance at large gatherings • History of previous exposure/injections, • Special events such as parties attended, foods eaten, and exposure to common vehicles such as water, food and milk
  • 45.  Active door-to-door collection of information is by “ Rapid Household Survey”
  • 46.
  • 47.  Characterizing an outbreak by time, place and person is called descriptive epidemiology.  Descriptive epidemiology is important because:  What is reliable and informative (e.g., similar exposures)  What may not be as reliable (e.g., many missing responses to a particular question)  Provides a comprehensive description of an outbreak by showing its trend over time, its geographic extent (place) and the populations (people) affected by the disease
  • 48.  Development of proportional distribution of cases according to host characteristics (age, race, sex) or by exposures (occupation, leisure activities, use of medications, tobacco, drugs).
  • 49.  Count  Count the cases in each age and sex groups  Divide  Obtain census denominators for each age and sex groups  Compare  Estimate the incidence for each:  Age group  Sex group
  • 50.  An attack rate is the proportion of a well-defined population that develops illness over a limited period of time, such as during an epidemic or outbreak  What are the age and gender specific attack rates?  What age and gender groups are at highest and lowest risk of illness?  In what other ways do the characteristics of the cases differ significantly from those of the general population? Purpose => Identification of sub-group(s) at risk
  • 51. Attack rate of measles by age and sex, Cuddalore, Tamil Nadu, India, 2004-2005 Characteristics Age group Number of Population cases Attack rate per 100,000 255,755 19.6 51 1,795,383 2.8 Male 48 1,032,938 4.6 Female Total 50 5+ Sex 0-4 53 1,018,200 5.2 101 2,051,138 4.9
  • 52. 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Protestants Coptic Christians Muslims Population Cases of Botulism BOTULISM OUTBREAK IN CAIRO, EGYPT - APRIL1993 Weber JT, Hibbs RG Jr, Darwish A, et al. A massive outbreak of type E botulism associated with traditional salted fish in Cairo. J Infect Dis 1993; 167: 451-454
  • 53. What is the exact period of the outbreak? What is the probable period of exposure? Is the outbreak likely common source or propagated?
  • 54. Drawing the epidemic curve based on time distribution of cases 2. Eyeball distribution to choose interval 1. Count cases by time of onset 3. Finalize
  • 55.  Interpretation of epidemic curve Shape – type of epidemic  An early case in the curve may represent source of the epidemic  Give information about the time course of an epidemic and what the future course might be  In a point-source epidemic of a known disease with a known incubation period, epidemic curve provides information to identify a likely period of exposure  Shape of epidemic curve illustrates type of epidemic. 
  • 57. Common source single exposure:  Sharp increase followed by a rapid decline.
  • 58. Continuous common source outbreak:  An abrupt increase in the number of cases but, new cases persist for a longer time with a plateau shape instead of a peak before decreasing.
  • 59. • Intermittent common source: multiple peaks
  • 60.  Propagated source outbreak: Number of cases  Increase in the number of cases with progressive peaks 16 14 12 10 8 6 4 2 0 1 4 7 10 13 16 19 22 25 28 31 34 Date
  • 61.  The spatial relationships of cases are shown best on a spot map.  A spot map showing the location of cases can give an idea of the source of infection like maps show that the cases occurred in proximity to a body of water, a sewage treatment plant, or its outflow. DRAWING A ROUGH SPOT MAP
  • 62.
  • 63.  Questions to be asked and answered:  What is the most significant geographic distribution of cases?  Place of residence? Workplace?  Do the attack rates vary by place?  Relation to any landmark or possible source?
  • 64.  Usually we generate hypotheses from the beginning of the outbreak, however, at this point, the hypotheses are sharpened and more accurately focused.  To consider what is known about the disease itself: What is the agent’s usual reservoir? B. How is it usually transmitted? C. What vehicles are commonly implicated? D. What are the known risk factors? A.
  • 65.  Talk to people who are ill: In-depth open interviews, Group discussions  Hypotheses should be proposed in a way that they can be tested.
  • 66.  After a hypothesis is formulated, one should be able to show that:  all additional cases, lab data, and epidemiologic evidence are consistent with the initial hypothesis  no other hypothesis fits the data as well  Observations that add weight to validity:  The greater the degree of exposure (or higher dosage of the pathogen), the higher the incidence of disease  Higher incidence of disease in the presence of one risk factor relative to other factors
  • 67.  Approaches:  Comparison of hypothesis with known/ established facts.  Analytic epidemiology to test the hypothesis  First method is used when the evidence is so strong that hypothesis need not be tested  Example - A 1991 investigation of an outbreak of vitamin D intoxication in Massachusetts. All affected drank milk from local dairy. Hypothesis - dairy was source, milk vehicle of excess vit D. Visit to dairy, they quickly recognized that far more than the recommended dose of vitamin D was inadvertently being adding to the milk. No further analysis was necessary.
  • 68.  Analytic epidemiology is used when cause is less clear. Cohort studies  Case control studies   What to use? Case control Rare disease/ large community Common disease/ small community Complete population accessible Large amount of resources Limited resources Cohort +++ - - +++ +/- +++ + ++ +++ -
  • 69. Example: Case control study for an outbreak of Acute Gastroenteritis following a dinner. FOOD ATE and ILL N (%) ATE and NOT ILL N (%) ODDS RATIO TOMATOES 14 (82) 30 (86) 0.83 CHICKEN 13 (71) 34 (94) 0.11 ALFAALFA SPROUTS 10 (67) 6 (17) 8.25
  • 70.  These are additional studies undertaken to corroborate the findings of the epidemiological study.  Environmental studies  Microbiological studies  Entomological studies
  • 71.  Environmental studies often help explain why an outbreak occurred and may be very important in certain settings.  Example: Site of contamination of irrigation canal with cattle urine in an outbreak of Leptospirosis in southeastern Washington, August 1964. Pond connected to irrigation canal And Cattle around the site
  • 72.  Microbiological studies can clinch the relationship between suspected source and outbreak.  Example: In the above outbreak of Leptospirosis, culture of urine from the cattle, water of the canal and blood of affected children yielded the same strain of L. pomona. Also, the children who had recovered showed increased anti leptospiral antibodies.
  • 73.  Entomological studies help identify the vector responsible for the outbreak.  May also give useful insight into the life cycle of the pathogen and the mode of transmission Example: Vector surveillance in Chikungunya affected villages of Latur and Beed districts of Maharashtra, 2006
  • 74.  Additional epidemiologic studies  What questions remain unanswered about the disease?  What kind of study used in a particular setting would answer these questions?  When analytic studies do not confirm the hypotheses  reconsider the original hypotheses  look for new vehicles or modes of transmission  Additional investigations  Further lab studies  Refine hypothesis till confirmation
  • 75.
  • 76.  Report provides a blueprint for action.  It also serves as a record of performance and a document for potential legal issues.  It serves as a reference if the health department encounters a similar situation in the future.  In public health literature serves the purpose of contributing to the knowledge base of epidemiology and public health  Daily interim reports and final report.
  • 77. Contents of a Report: 1. Back ground 2. Historical data 3. Methodology of investigation 4. Analysis of data (clinical data, Epidemiological data, modes of transmission, Lab data, Interpretation of data) 5. Control measures 6. Evaluation 7. Preventive measures
  • 78. Report to be submitted by investigating officer/ team to the next higher authority within one week of completion of investigations
  • 79.  Appropriate control measures  based on Epidemiological, Clinical, Environmental findings  To prevent further spread of disease  The elements of epidemic control include: 1. Controlling the source of the pathogen (if known) Remove or inactivate the pathogen 2. Interrupting the transmission. Sterilize environmental source of spread; vector control 3. Modifying the host response to exposure. Immunization; Prophylactic chemotherapy
  • 80.  Control measures should be implemented at the earliest.  DO NOT wait for laboratory confirmation to start control measures.
  • 81.  Follow up of outbreak  Detect last case  Detect and treat late complications  Complete documentation  Evaluation of outbreak management including investigations (by local authorities) Genesis of outbreak  Early or late detection of outbreak  Preparedness for outbreak  Management of the outbreak  Control measures taken and their impact 
  • 82.  Documentation and sharing the lessons learnt Post outbreak seminar.  Feedback to local health authorities, RRTs and other concerned.  Developing case studies on selected outbreaks for training purposes. 
  • 83. Audience Medium Focus of the content Communication objective Epidemiologists, laboratory •Report •Epidemiology •Documentation of the source Public health managers •Summary •Recommendations •Action Political leaders •Briefing •Control measures •Evidence that the situation is under control Community •Press release, interview •Health education •Personal steps towards prevention Scientific community •Presentation, manuscript •Science •Scientific progress POSSIBLE MATRIX FOR COMMUNICATION OF INVESTIGATION RESULTS AND FINDINGS
  • 84.  An outbreak of fever, URI & loose motion among the boarders of PTS, Jharoda kalan, Delhi was reported to the MS of SJH by CDMO of SW district of Delhi on 10.07.09 .  Cause for concern – Panic d/t novel H1N1 cases in Delhi  RRT composition – Epidemiologist, Physician, Microbiologist and other doctors. (11.07.09)  Case definition: A person with acute onset of fever with or without sore throat, diarrhea, headache, body ache starting from 2nd July 2009 onward.  Line listing, Epidemiological case sheet (with travel history), Lab analysis of samples for H1N1.
  • 85.  Descriptive: Time – Start = 2nd Jul, Peak = 7th Jul, Fall afterwards  Place – Start in Tent # 40, 25 & 8; then spread. clustered around tent no 1,9,20, 22, 27, 36 &37.  Person – 61 cases. Mean age 22.2 yrs (20-49).   Environmental: Crowded, ill ventilated tents. Humid environment with low temperature.  Lab: H1N1 negative. Influenza A +ve.  Recommendations:    Reduce crowding, Improve ventilation Increase staffing in dispensary and Proper record maintainance Prompt identification and reporting of changes in disease frequency.
  • 86.  Outbreak of jaundice among the residents of Sector 8 of RK Puram, New Delhi was reported to the MS of SJH by CDMO of SW district of Delhi on 06.04.2011.  Initial report by DSO suggested sudden onset of jaundice.  RRT – Epidemiologist, Physician, Microbiologist and other personnel. To CGHS, dispensary on 06.04.2011  Case defn : A person with signs and symptoms of jaundice with or without elevated serum aminotransferase levels from 1st January 2011 onwards  Verification of outbreak by review of records of CGHS dispensary.
  • 87.  Rapid survey, Line listing, Spot map, Clinical examination, Epidemiological case sheet, Blood samples, Environmental study  Descriptive: Time – Rise from 15th Jan, Peak 1st week March, Decline afterwards. Max cases in March (11/21)  Place – Clustering around N block & adjacent to Palam rd  Person – 15-30 yrs (50%), M > F (58.3/ 41.7)   Lab: 3/5 recent cases +ve for Anti HEV IgM. 2/6 water samples – Fecal contamination
  • 88.  Environmental: Water & sewer lines running close, Intermittent water supply – Booster pumps, Latrine near water storage tank, Sewer lines not de-silted – overflowing, Damaged water lines. Absent residual chlorine.  Conclusion: Confirmed outbreak of jaundice. Lab results  Acute Hepatitis E. Damaged water lines and contamination from sewer lines responsible.  Recommendations: Proper record maintenance in CGHS dispensary(diagnosis, S/s)  Monitoring and repairing of water lines  Sewer lines should not be close to water supply pipeline  Regular de-silting and cleaning of sewer line.  Proper chlorination of water supply. 
  • 89. 1. A Dictionary of Epidemiology – 3rd ed; Last JM. 2. 3. 4. 5. 6. 2000. Park’s Textbook of Preventive and Social Medicine – 21st ed; Park JE. 2010. Epidemiology – 4th ed; Gordis L. 2004. Checklist for CRRT for outbreak investigation, NICD 2008 Oxford Textbook of Public Health – 4th ed; 2002 Mausner & Bahn Epidemiology: An Introductory Text – 2nd ed; Mausner JS, Kramer S. 1985.
  • 90. 7. R Bonita, R Beaglehole, T Kjellström. Basic Epidemiology: WHO;2nd Edition. 8. Outbreak Investigations Around The World: Case Studies in Infectious Disease Field Epidemiology; Mark S Dworkin. 2010 9. Steps of outbreak investigation; Epidemiology in the classroom. Excite, CDC. From www.cdc.gov 10. Raut DK, Roy N, Nair D, Sharma R. Influenza A virus outbreak in Police Training School, Najafgarh, Delhi – 2009. Indian J Med Res; Dec 2010; 132: 731-732
  • 91.
  • 92. LARGE OUTBREAKS FROM AROUND THE WORLD – WHO, 1999

Hinweis der Redaktion

  1. 1= Last, 2= Park, 3= Gordis
  2. 4=checklist for CRRT for outbreak investigation, NICD 2008
  3. The term ‘cluster’ is an aggregation of two or more cases which is not necessarily more than expected.
  4. Magnitude : Measurement of epidemic in terms of morbidity, mortality , loss of productivity, psychological influence on population affected.
  5. Epidemic curve: a graphic plotting of distribution of cases by time of onset.
  6. Limitations: delay in initial report. Improper records. Problems: No evaluation. No follow up. Surveillance system should have been started.
  7. Blood samples from 5 recent and 4 convalescent cases
  8. Late start d/t late info.Investigation not evaluated. No system created for early detection of outbreakRecommendation of sewer and water line distance not practical ???No follow up