outbreak investigation - types of epidemics and investigating them
DESCRIPTION
my seminar presentation on epidemics and outbreak investigationTRANSCRIPT
Investigation of outbreak/ epidemic
Presented by: Dr. Timiresh Kumar DasModerator: Dr. Neelam Roy
Associate Professor Dept. of Community MedicineVMMC & Safdarjung Hospital
OUTLINE OF PRESENTATION Definitions Determinants of disease outbreaks Types of epidemics Objectives of investigation of outbreak/
epidemic Steps of outbreak investigation Some examples References
DEFINITIONS 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
DEFINITIONS
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. E.g. Kaposi's sarcoma, New York - 30 in 1981; only 2-3
previous yrs. A cluster of cases of the same disease occurs which
can be linked to the same exposure. 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.
DEFINITIONS
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.
DEFINITIONS
DETERMINANTS OF DISEASE OUTBREAKS
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.
SUSCEPTIBLE IMMUNE
DISEASE OUTBREAK
NO
OUTBREAK
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 populationAgent and transmission characteristics.Environmental factors.Number of susceptibles and immunes in the
population.
DETERMINANTS OF DISEASE OUTBREAKS
1958 1959 1960 19610
2
4
6
8
10
12
14
Expected number of cases if effect limited to vaccinesNumber of cases observed
REDUCED BY HERD IMMU-NITY
Effect of herd immunity: expected and observed numbers of paralytic poliomyelitis cases, US, 1958-1961
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.
DETERMINANTS OF DISEASE OUTBREAKS
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
Republic1377, Ragusa detained travellers in an isolated
area, initially for 30 days and, when it did not work, for 40 days
DETERMINANTS OF DISEASE OUTBREAKS
TYPES OF EPIDEMICS
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
TYPES OF EPIDEMICS
Common source single exposureFirst case and the last case happen within
one incubation periodRapid rise in number of cases followed by
rapid decline
Example: Food poisoning due to spoiled food item in a
feast. Bhopal gas tragedy ( 198
TYPES OF EPIDEMICS
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.
TYPES OF EPIDEMICS
Propagated epidemic: This kind of outbreak is caused by a transmission from one person to another person.
Example: SARS, H1N1 influenza
TYPES OF EPIDEMICS
OBJECTIVES OF INVESTIGATION OF EPIDEMIC 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
PURPOSE OF INVESTIGATION OF EPIDEMIC 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 .
WHO INVESTIGATES AN OUTBREAK ? 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).
STEPS OF OUTBREAK INVESTIGATION1. Verification of the diagnosis2. Confirmation of existence of outbreak3. Defining population at risk – Map, Count4. Rapid search for cases and characteristics5. Data Analysis – Time, Place, Person6. Formulation of hypothesis7. Testing of hypothesis8. Evaluation of ecological factors9. Further investigations10.Reporting
WHAT TO DO FIRST Verify rumours Technical, Administrative and Logistics
arrangement Prepare Outbreak Management Kit
according to initial information Brief members of the investigating team
regardingRoles & responsibilitiesMethods of personal protection
Team composed of:1. Nodal officer (Epi/ PHS)2. Clinician3. Microbiologist
4. Health Assistant5. District/ Local
administration nominee6. Other personnel as
required
VERIFICATION OF DIAGNOSIS 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.
CONFIRMATION OF EXISTENCE OF OUTBREAK Incidence rate is calculated by dividing the total
cases by the population at risk.
This rate is compared with the rate occurring in the same population, during the corresponding period of the previous years.
7 year average incidence vs. 2003 incidence of Dengue in Delhi
362
1861
600
101
1189
213 148
1510
0 0 0 0 0 14
1000000 2
0
200
400
600
800
1000
1200
1400
1600
1800
2000
J F M A M J J A S O N D
months of reporting
no. o
f cas
es
2003
avg
EARLY WARNING OF OUTBREAKS• 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
Sources of warningsRumour register
To be kept in standardized format in each institution
Community informantsPrivate and public sector
Media Important source of information, not to
neglectReview of routine data – surveillance
dataTriggers (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 diseaseCase fatality (Death / case ratio)Number of evolving casesUsual trend in the region
Triggers in the context of IDSP
Triggers in the context of IDSP
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
Levels of response to different triggers
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
Triggers in the context of IDSP
Disease alerts/ outbreaks reported and responded to by states/ UTs through IDSP; 2nd week (ending 15th January, 2012)
Deciding to investigate a possible outbreak• 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
CONFIRMATION OF EXISTENCE OF OUTBREAK
DEFINING THE POPULATION AT RISK 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 sexLay health workersHouse to house visits
DEFINING THE POPULATION AT RISK
SEARCH FOR CASES 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.
SEARCH FOR CASES: DefinitionExample - 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.
SEARCH FOR CASES: Definition
Confirmed Case Probable Case Possible Case
LaboratoryVerification
ClinicalFeatures
+
++ ++ +
Example: E. coli O157 outbreak at Restaurant X on 31/3/2010Possible: 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
SEARCH FOR CASES: Definition
Case Definition may need to be updated within an investigationBroad 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
SEARCH FOR CASES: Definition
SEARCH FOR CASES: The search 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
40Iceberg phenomenon
WHY TO SEARCH
SEARCH FOR CASES: Information 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 casesDone by hand or by Excel.
SEARCH FOR CASES: Information
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
formDetailed information from the case relevant
to the disease under study.
SEARCH FOR CASES: Information
SEARCH FOR CASES: InformationInformation 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”
SEARCH FOR CASES: Information
DATA ANALYSIS: DESCRIPTIVE 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
DESCRIPTIVE EPIDEMIOLOGY: Person Development of
proportional distribution of cases according to host characteristics (age, race, sex)
or
by exposures (occupation, leisure activities, use of medications, tobacco, drugs).
CountCount the cases in each age and sex groups
DivideObtain census denominators for each age and sex groups
Compare Estimate the incidence for each:
Age group Sex group
DESCRIPTIVE EPIDEMIOLOGY: Person
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
Purpose => Identification of sub-
group(s) at risk
DESCRIPTIVE EPIDEMIOLOGY: Person
DESCRIPTIVE EPIDEMIOLOGY: Person
Characteristics Number of cases
Population
Attack rate per 100,000
Age group
0-4 50 255,755 19.6
5+ 51 1,795,383
2.8
Sex Male 48 1,032,938
4.6
Female 53 1,018,200
5.2
Total 101 2,051,138
4.9
Attack rate of measles by age and sex, Cuddalore, Tamil Nadu, India, 2004-2005
DESCRIPTIVE EPIDEMIOLOGY: Person
Population Cases of Botulism0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
ProtestantsCoptic ChristiansMuslims
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
BOTULISM OUTBREAK IN CAIRO, EGYPT - APRIL1993
DESCRIPTIVE EPIDEMIOLOGY: Time
What is the exact period of the outbreak?
What is the probable period of exposure?
Is the outbreak likely common source or propagated?
DESCRIPTIVE EPIDEMIOLOGY: Time
1. Count cases by time of onset
2. Eyeball distribution
to choose interval
3. Finalize
Drawing the epidemic curve based on time distribution of cases
Interpretation of epidemic curveShape – type of epidemicAn 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 beIn 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.
DESCRIPTIVE EPIDEMIOLOGY: Time
DESCRIPTIVE EPIDEMIOLOGY: Time
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: Increase in the number of cases with progressive peaks
0
2
4
6
8
10
12
14
16
1 4 7 10 13 16 19 22 25 28 31 34
Date
Nu
mb
er
of
cases
DESCRIPTIVE EPIDEMIOLOGY: Place
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
DESCRIPTIVE EPIDEMIOLOGY: Place
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?
FORMULATION OF HYPOTHESES 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:A. 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?
Talk to people who are ill: In-depth open interviews, Group discussions
Hypotheses should be proposed in a way that they can be tested.
FORMULATION OF HYPOTHESES
TESTING OF HYPOTHESES 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 testedExample - 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.
TESTING OF HYPOTHESES
Analytic epidemiology is used when cause is less clear. Cohort studiesCase control studies
What to use?
TESTING OF HYPOTHESES
Case control
Cohort
Rare disease/ large community +++ -
Common disease/ small community
- +++
Complete population accessible +/- +++
Large amount of resources + ++
Limited resources +++ -
TESTING OF HYPOTHESES
FOOD ATE and ILLN (%)
ATE and NOT ILLN (%)
ODDS RATIO
TOMATOES 14 (82) 30 (86) 0.83
CHICKEN 13 (71) 34 (94) 0.11
ALFAALFA SPROUTS 10 (67) 6 (17) 8.25
Example: Case control study for an outbreak of Acute Gastroenteritis following a dinner.
EVALUATION OF ECOLOGICAL FACTORS 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.
EVALUATION OF ECOLOGICAL FACTORS
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.
EVALUATION OF ECOLOGICAL FACTORS
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
EVALUATION OF ECOLOGICAL FACTORS
Example:Vector surveillance in Chikungunya affected villages of Latur and Beed districts of Maharashtra, 2006
FURTHER INVESTIGATIONS 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
REPORTING 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
REPORTING
Report to be submitted by investigating officer/ team to the next higher authority within one week of completion of investigations
CONTROL MEASURES 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.
CONTROL MEASURES
WHAT NEXT Follow up of outbreak
Detect last caseDetect and treat late complicationsComplete documentation
Evaluation of outbreak management including investigations (by local authorities)Genesis of outbreakEarly or late detection of outbreakPreparedness for outbreakManagement of the outbreakControl measures taken and their impact
Documentation and sharing the lessons learntPost outbreak seminar.Feedback to local health authorities, RRTs and
other concerned.Developing case studies on selected
outbreaks for training purposes.
WHAT NEXT
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
WHAT NEXT
POSSIBLE MATRIX FOR COMMUNICATION OF INVESTIGATION RESULTS AND FINDINGS
Example 1: Influenza in PTS
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
afterwardsPlace – 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
maintainancePrompt identification and reporting of changes in
disease frequency.
Example 1: Influenza in PTS
Example 2: Hepatitis RK Puram 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 rdPerson – 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
Example 2: Hepatitis RK Puram
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 linesSewer lines should not be close to water supply pipelineRegular de-silting and cleaning of sewer line.Proper chlorination of water supply.
Example 2: Hepatitis RK Puram
REFERENCES1. A Dictionary of Epidemiology – 3rd ed; Last
JM. 2000.2. Park’s Textbook of Preventive and Social
Medicine – 21st ed; Park JE. 2010.3. Epidemiology – 4th ed; Gordis L. 2004.4. Checklist for CRRT for outbreak
investigation, NICD 20085. Oxford Textbook of Public Health – 4th ed;
20026. Mausner & Bahn Epidemiology: An
Introductory Text – 2nd ed; Mausner JS, Kramer S. 1985.
REFERENCES7. 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
THANK YOU
LARGE OUTBREAKS FROM AROUND THE WORLD – WHO, 1999