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Dr D K Niranjan
ο‚—      β€œA sudden rise in the incidence of a disease”

ο‚— The occurrence in a community or region of cases of
    an illness with a frequency clearly in excess of normal
    expectancy.
ο‚— Endemic infections in hospital
     οƒ˜ Usual or expected frequency of infections in the
       hospital (background rate)


ο‚—   Epidemic nosocomial infections in hospital
     οƒ˜ Unusual occurrence of infections clearly in excess of
       expected occurrence (background rate)
     οƒ˜ Isolation of unusual (rare) organism
     οƒ˜ Isolation of organism with different anti-microbial
       susceptibility, or molecular typing
ο‚—   Common source epidemics
    οƒ˜ Single source or point source
    οƒ˜ Continuous or Multiple exposure



ο‚—   Propagated epidemics
    οƒ˜ Person to person spread
ο‚— Outbreak in Hospital/ Health facility

ο‚— Outbreak in Community

ο‚— Outbreak in community may have origin in a hospital

ο‚— Outbreak in community may trigger outbreak in hospital

ο‚— We take almost similar steps to investigate community
  and hospital outbreaks

ο‚— Infection control programme in hospital may not only
  prevent outbreak in hospital, but in community also
οƒ˜ Prevent additional cases in the current outbreak
οƒ˜ Prevent future outbreaks
οƒ˜ Learn about a new disease
οƒ˜ Learn something new about an old disease
οƒ˜ Reassure the public
οƒ˜ Minimize economic and social disruption
οƒ˜ Teach epidemiology
οƒ˜ Magnitude
οƒ˜ Characterization of cases by time, person and place
οƒ˜ Risk factors
οƒ˜ Source of infection, mode of transmission
οƒ˜ Control of outbreak
οƒ˜ Prevent recurrence
οƒ˜ Document the outbreak – lessons learnt
οƒ˜ Epidemiologist
οƒ˜ Clinician/paediatrician/ neonatologist
οƒ˜ Microbiologist
οƒ˜ Member of Hospital Infection Control Committee
οƒ˜ Staff from affected unit/ward
οƒ˜ Others depending on the need
οƒ˜ Confirm the diagnosis
οƒ˜ Confirm the existence of an outbreak
οƒ˜ Define at-risk population and characterize the cases by
  time, person and place (Case definition; case
  ascertainment – identify and count cases; line list of
  cases; epidemic curve)
οƒ˜ Review of literature about outbreaks/isolates
οƒ˜ Formulate hypothesis about genesis of outbreak
  (source and route of infection)
οƒ˜ Make further investigations to confirm/refute the
  hypothesis (case control studies, culture surveys)
οƒ˜ Control the outbreak
οƒ˜ Prepare and disseminate the report (documentation)
οƒ˜   Case definition changed
οƒ˜   Introduction of new laboratory tests
οƒ˜   Frequency of testing of patients changed
οƒ˜   Introduction of a new medical or surgical
    procedure
οƒ˜   New areas or population included under the
    surveillance
οƒ˜ Confirm outbreak
  οƒ˜ – Confirm diagnoses
  οƒ˜ – Case definition
  οƒ˜ – Case line listing started
  οƒ˜ – Case finding
  οƒ˜ – Case interviews
  οƒ˜ – Complete line listing
  οƒ˜ – Case descriptive epidemiology
  οƒ˜ – Establish baseline occurrence of cases
  οƒ˜ – Rule out alternative explanations (chance, bias, ...)
οƒ˜ Generate preliminary causal hypotheses
οƒ˜ Standard set of criteria for deciding if a person should
  be classified as suffering from the disease under
  investigation.
οƒ˜ Clinical criteria, restrictions of time, place, person
  characteristics
οƒ˜ Specific inclusion and exclusion criteria
οƒ˜ Simple, practical, objective
οƒ˜ Suspect, probable, confirmed

 Case definition may be more sensitive initially

 Case definition should be more specific when
  sufficient information is available
ο‚—   Identification No.
ο‚—   Age
ο‚—   Sex
ο‚—   Date of admission
ο‚—   Cause of admission
ο‚—   Intervention/surgery/procedure done, device used, if any
ο‚—   Date of undertaking intervention/surgery/procedure
ο‚—   Place where intervention/surgery/procedure undertaken
ο‚—   Date of onset of outbreak associated clinical features
ο‚—   Outbreak associated clinical features
ο‚—   Lab investigations
ο‚—   Result of lab investigations
ο‚—   Diagnosis (Nosocomial infection)
ο‚—   Outcome: Still ill, recovered, died, other (specify)
ο‚—   Other relevant variables
ο‚—   Comments
Point source
                                 25

                                 20

                                 15

                                 10

                                  5

                                  0
                                      1       3       5       7   9 11 13 15 17 19


                                              Multiple curves
     Continuous source
20                               20


15                               15


10                               10


5                                 5


0                                 0
                                      1
                                          3
                                                  5
                                                          7
                                                              9
                                                                  11
                                                                       13
                                                                            15
                                                                                 17
                                                                                      19
 1

     4

         7

             10

                  13

                       16

                            19
β€’ Who is at risk of becoming ill?
  β€’ What is the disease causing the
    outbreak?
  β€’ What is the source and the vehicle?
  β€’ What is the mode of transmission?



Compare hypotheses with facts
οƒ˜ Systematically review known causal factors
  (Transmission mechanisms and dynamics)
οƒ˜ Prioritize likely causes to guide control
οƒ˜ measures (Step 3)
οƒ˜ Generate testable hypotheses to conduct analytic study
  (Step 4) if cause remains unknown or control measure
  not working
ο‚— Epidemiologic/clinical investigation


ο‚— Environmental investigation


ο‚— Laboratory investigation


ο‚— Veterinary or vector borne investigation


ο‚— Forensics/Law enforcement investigation
Implement control measures
                                  May occur at any time
                                  during the outbreak!!

Control the source of infection


         Interrupt transmission


         Modify host response




      Prevent recurrence
ο‚— Control measures related to source of infection
   ο‚— Identify and remove the source of infection
   ο‚— Isolation of cases
   ο‚— Quarantine of healthy contacts of infectious disease
ο‚— Interrupt transmission
ο‚— Protect susceptible host
   ο‚— Immunization
   ο‚— Chemoprophylaxis
ο‚— Non specific measures
   ο‚— Surveillance programme for detection/control of
     infections
   ο‚— Risk communication (IEC)
   ο‚— Research
Prepare study protocol
1. Primary question(s)
2. Significance
3. Design
4. Subjects
5. Variables
6. Statistical issues
● Conduct study
● Analyze data
● Interpret findings
ο‚— Epidemiologic inference
  ο‚— Validity (internal and external)
  ο‚— Threats to validity
ο‚— Causal inference
  – Causal criteria
  – Causal models
οƒ˜ Detect outbreaks
οƒ˜ Detect public health threats
οƒ˜ Detect infectious cases (case finding)
οƒ˜ Monitor trends in a target population
οƒ˜ Monitor exposed individuals for symptoms
οƒ˜ Monitor treated individuals for complications
οƒ˜ Direct public health interventions
οƒ˜ Evaluate public health interventions
οƒ˜ Generate hypotheses for further evaluation
οƒ˜ Communicate preliminary assessments and
  recommendations (letter, memo)
οƒ˜ Prepare interim/final reports
οƒ˜ Prepare manuscript (optional)
οƒ˜ Risk communication strategy (what to say)
οƒ˜ Media communication strategy (how to say it)
Every outbreak in the
hospitals is an opportunity to
  improve infection control
 programme. Lessons learnt
  should be used to prevent
      future outbreaks
ο‚— Assign a spokesperson who has the authority,
 is knowledgeable and respected by community,
 health professionals and media
ο‚— Give clear, accurate and timely information. Avoid
 technical terms, if possible. Update information
 regularly.
ο‚— Forward 3 positive points against one negative
 point.
ο‚— Do not allow media to control the entire
 dialogue
ο‚— Be frank about your efforts and the challenges
ο‚— Chronology of events - How was the outbreak suspected?
ο‚— Methodology adopted for investigation
    ο‚—   Outbreak investigation Team
    ο‚—   Case definition
    ο‚—   Case ascertainment
    ο‚—   Lab investigations
ο‚— Epidemiological observations
    ο‚— Characterization of cases/deaths by time, person and place
ο‚—   Results of laboratory investigations
ο‚—   Analysis and interpretation of data collected and compiled
ο‚—   Further investigations undertaken
ο‚—   Conclusion about source and route of infection
ο‚—   Interventions made/recommended
ο‚—   Dissemination of report including executive summary to all
    stakeholders
ο‚— Viral hepatitis B outbreaks occurred in hospitals in 1980s
     and 90s

   ο‚— In 1997, NICD investigated 3 community outbreaks of viral
     hepatitis B
      ο‚— Mehasana district in Gujarat
      ο‚— Sirsa district in Haryana
      ο‚— Sri Ganganagar in Rajasthan


   ο‚— Inadequately sterilized needles and syringes resulted in
     these outbreaks

   ο‚— Inadequate sterilization still causes many infectious
     diseases outbreaks in hospitals
Source: WHO 1998; 76:93-98; Epidemiol Infect 2000;125:367-375
ο‚— ESI Hospital Colony, Madurai had an explosive outbreak of
    chikungunya in September 2009
ο‚—   Chikungunya cases were admitted to the ESI Hospital
ο‚—   There was heavy breeding of Aedes mosquitoes in the
    campus
ο‚—   Infection was transmitted to other cases and hospital staff
ο‚—   9 of 11 doctors and 34 of 37 nurses who worked in the
    hospital or stayed in the campus were affected during the
    outbreak
ο‚—   Most of other residents of the hospital colony were also
    affected
ο‚—   Hospital transmission of dengue and chikungunya has been
    observed in other cities also in the past
ο‚— A patient admitted in a hospital probably started
        the outbreak
    ο‚—   Infection spread to other patients, visitors and
        health acre workers
    ο‚—   66 probable cases, 45 died
    ο‚—   Many including health care workers got infection
        in the hospital
    ο‚—   No exposure of cases to animals
    ο‚—   Human to human transmission of Nipah/ Hendra
        virus was suspected


Source: IJMR 2006;123: 553-560
Thank You

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Outbreak Investigation

  • 1. Dr D K Niranjan
  • 2. ο‚— β€œA sudden rise in the incidence of a disease” ο‚— The occurrence in a community or region of cases of an illness with a frequency clearly in excess of normal expectancy.
  • 3. ο‚— Endemic infections in hospital οƒ˜ Usual or expected frequency of infections in the hospital (background rate) ο‚— Epidemic nosocomial infections in hospital οƒ˜ Unusual occurrence of infections clearly in excess of expected occurrence (background rate) οƒ˜ Isolation of unusual (rare) organism οƒ˜ Isolation of organism with different anti-microbial susceptibility, or molecular typing
  • 4. ο‚— Common source epidemics οƒ˜ Single source or point source οƒ˜ Continuous or Multiple exposure ο‚— Propagated epidemics οƒ˜ Person to person spread
  • 5. ο‚— Outbreak in Hospital/ Health facility ο‚— Outbreak in Community ο‚— Outbreak in community may have origin in a hospital ο‚— Outbreak in community may trigger outbreak in hospital ο‚— We take almost similar steps to investigate community and hospital outbreaks ο‚— Infection control programme in hospital may not only prevent outbreak in hospital, but in community also
  • 6. οƒ˜ Prevent additional cases in the current outbreak οƒ˜ Prevent future outbreaks οƒ˜ Learn about a new disease οƒ˜ Learn something new about an old disease οƒ˜ Reassure the public οƒ˜ Minimize economic and social disruption οƒ˜ Teach epidemiology
  • 7. οƒ˜ Magnitude οƒ˜ Characterization of cases by time, person and place οƒ˜ Risk factors οƒ˜ Source of infection, mode of transmission οƒ˜ Control of outbreak οƒ˜ Prevent recurrence οƒ˜ Document the outbreak – lessons learnt
  • 8. οƒ˜ Epidemiologist οƒ˜ Clinician/paediatrician/ neonatologist οƒ˜ Microbiologist οƒ˜ Member of Hospital Infection Control Committee οƒ˜ Staff from affected unit/ward οƒ˜ Others depending on the need
  • 9. οƒ˜ Confirm the diagnosis οƒ˜ Confirm the existence of an outbreak οƒ˜ Define at-risk population and characterize the cases by time, person and place (Case definition; case ascertainment – identify and count cases; line list of cases; epidemic curve) οƒ˜ Review of literature about outbreaks/isolates οƒ˜ Formulate hypothesis about genesis of outbreak (source and route of infection) οƒ˜ Make further investigations to confirm/refute the hypothesis (case control studies, culture surveys) οƒ˜ Control the outbreak οƒ˜ Prepare and disseminate the report (documentation)
  • 10. οƒ˜ Case definition changed οƒ˜ Introduction of new laboratory tests οƒ˜ Frequency of testing of patients changed οƒ˜ Introduction of a new medical or surgical procedure οƒ˜ New areas or population included under the surveillance
  • 11. οƒ˜ Confirm outbreak οƒ˜ – Confirm diagnoses οƒ˜ – Case definition οƒ˜ – Case line listing started οƒ˜ – Case finding οƒ˜ – Case interviews οƒ˜ – Complete line listing οƒ˜ – Case descriptive epidemiology οƒ˜ – Establish baseline occurrence of cases οƒ˜ – Rule out alternative explanations (chance, bias, ...) οƒ˜ Generate preliminary causal hypotheses
  • 12. οƒ˜ Standard set of criteria for deciding if a person should be classified as suffering from the disease under investigation. οƒ˜ Clinical criteria, restrictions of time, place, person characteristics οƒ˜ Specific inclusion and exclusion criteria οƒ˜ Simple, practical, objective οƒ˜ Suspect, probable, confirmed  Case definition may be more sensitive initially  Case definition should be more specific when sufficient information is available
  • 13. ο‚— Identification No. ο‚— Age ο‚— Sex ο‚— Date of admission ο‚— Cause of admission ο‚— Intervention/surgery/procedure done, device used, if any ο‚— Date of undertaking intervention/surgery/procedure ο‚— Place where intervention/surgery/procedure undertaken ο‚— Date of onset of outbreak associated clinical features ο‚— Outbreak associated clinical features ο‚— Lab investigations ο‚— Result of lab investigations ο‚— Diagnosis (Nosocomial infection) ο‚— Outcome: Still ill, recovered, died, other (specify) ο‚— Other relevant variables ο‚— Comments
  • 14. Point source 25 20 15 10 5 0 1 3 5 7 9 11 13 15 17 19 Multiple curves Continuous source 20 20 15 15 10 10 5 5 0 0 1 3 5 7 9 11 13 15 17 19 1 4 7 10 13 16 19
  • 15. β€’ Who is at risk of becoming ill? β€’ What is the disease causing the outbreak? β€’ What is the source and the vehicle? β€’ What is the mode of transmission? Compare hypotheses with facts
  • 16. οƒ˜ Systematically review known causal factors (Transmission mechanisms and dynamics) οƒ˜ Prioritize likely causes to guide control οƒ˜ measures (Step 3) οƒ˜ Generate testable hypotheses to conduct analytic study (Step 4) if cause remains unknown or control measure not working
  • 17. ο‚— Epidemiologic/clinical investigation ο‚— Environmental investigation ο‚— Laboratory investigation ο‚— Veterinary or vector borne investigation ο‚— Forensics/Law enforcement investigation
  • 18.
  • 19. Implement control measures May occur at any time during the outbreak!! Control the source of infection Interrupt transmission Modify host response Prevent recurrence
  • 20. ο‚— Control measures related to source of infection ο‚— Identify and remove the source of infection ο‚— Isolation of cases ο‚— Quarantine of healthy contacts of infectious disease ο‚— Interrupt transmission ο‚— Protect susceptible host ο‚— Immunization ο‚— Chemoprophylaxis ο‚— Non specific measures ο‚— Surveillance programme for detection/control of infections ο‚— Risk communication (IEC) ο‚— Research
  • 21. Prepare study protocol 1. Primary question(s) 2. Significance 3. Design 4. Subjects 5. Variables 6. Statistical issues ● Conduct study ● Analyze data ● Interpret findings
  • 22. ο‚— Epidemiologic inference ο‚— Validity (internal and external) ο‚— Threats to validity ο‚— Causal inference – Causal criteria – Causal models
  • 23.
  • 24. οƒ˜ Detect outbreaks οƒ˜ Detect public health threats οƒ˜ Detect infectious cases (case finding) οƒ˜ Monitor trends in a target population οƒ˜ Monitor exposed individuals for symptoms οƒ˜ Monitor treated individuals for complications οƒ˜ Direct public health interventions οƒ˜ Evaluate public health interventions οƒ˜ Generate hypotheses for further evaluation
  • 25. οƒ˜ Communicate preliminary assessments and recommendations (letter, memo) οƒ˜ Prepare interim/final reports οƒ˜ Prepare manuscript (optional) οƒ˜ Risk communication strategy (what to say) οƒ˜ Media communication strategy (how to say it)
  • 26. Every outbreak in the hospitals is an opportunity to improve infection control programme. Lessons learnt should be used to prevent future outbreaks
  • 27. ο‚— Assign a spokesperson who has the authority, is knowledgeable and respected by community, health professionals and media ο‚— Give clear, accurate and timely information. Avoid technical terms, if possible. Update information regularly. ο‚— Forward 3 positive points against one negative point. ο‚— Do not allow media to control the entire dialogue ο‚— Be frank about your efforts and the challenges
  • 28. ο‚— Chronology of events - How was the outbreak suspected? ο‚— Methodology adopted for investigation ο‚— Outbreak investigation Team ο‚— Case definition ο‚— Case ascertainment ο‚— Lab investigations ο‚— Epidemiological observations ο‚— Characterization of cases/deaths by time, person and place ο‚— Results of laboratory investigations ο‚— Analysis and interpretation of data collected and compiled ο‚— Further investigations undertaken ο‚— Conclusion about source and route of infection ο‚— Interventions made/recommended ο‚— Dissemination of report including executive summary to all stakeholders
  • 29. ο‚— Viral hepatitis B outbreaks occurred in hospitals in 1980s and 90s ο‚— In 1997, NICD investigated 3 community outbreaks of viral hepatitis B ο‚— Mehasana district in Gujarat ο‚— Sirsa district in Haryana ο‚— Sri Ganganagar in Rajasthan ο‚— Inadequately sterilized needles and syringes resulted in these outbreaks ο‚— Inadequate sterilization still causes many infectious diseases outbreaks in hospitals Source: WHO 1998; 76:93-98; Epidemiol Infect 2000;125:367-375
  • 30. ο‚— ESI Hospital Colony, Madurai had an explosive outbreak of chikungunya in September 2009 ο‚— Chikungunya cases were admitted to the ESI Hospital ο‚— There was heavy breeding of Aedes mosquitoes in the campus ο‚— Infection was transmitted to other cases and hospital staff ο‚— 9 of 11 doctors and 34 of 37 nurses who worked in the hospital or stayed in the campus were affected during the outbreak ο‚— Most of other residents of the hospital colony were also affected ο‚— Hospital transmission of dengue and chikungunya has been observed in other cities also in the past
  • 31. ο‚— A patient admitted in a hospital probably started the outbreak ο‚— Infection spread to other patients, visitors and health acre workers ο‚— 66 probable cases, 45 died ο‚— Many including health care workers got infection in the hospital ο‚— No exposure of cases to animals ο‚— Human to human transmission of Nipah/ Hendra virus was suspected Source: IJMR 2006;123: 553-560