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Influenza Surveillance Systems in an International Setting

Influenza Surveillance Systems in an International Setting. Case Study 1. Learning Objectives. Define the surveillance objectives, methods of hospital selection, and key data collection priorities for sentinel surveillance for seasonal influenza and severe respiratory diseases

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Influenza Surveillance Systems in an International Setting

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  1. Influenza Surveillance Systems in an International Setting Case Study 1

  2. Learning Objectives • Define the surveillance objectives, methods of hospital selection, and key data collection priorities for sentinel surveillance for seasonal influenza and severe respiratory diseases • List appropriate surveillance strategies and trigger criteria needed for the early detection of Influenza A(H5N1) in hospitals and communities • List appropriate surveillance strategies and trigger criteria needed for a broader pandemic early warning system • Describe how a sentinel site surveillance system for influenza provides an important support function for a pandemic early warning system • Identify five ways to enhance human, avian, and pandemic influenza surveillance activities in areas where there are known Influenza A(H5N1) outbreaks in poultry

  3. Outline • Introduction to the scenario • Routine Surveillance for Respiratory Disease and Seasonal Influenza • Influenza A(H5N1) and Pandemic Early Warning Surveillance

  4. Introduction

  5. Introduction to the Republic of Pegu • Developing country • Southeast Asia • 21 provinces • Population: 50 million

  6. Anawrahta Geography Monsoon climate Bordered by 5 countries • Population: • 75% rural • No highway access Migrants

  7. Pegu Provincial Hospitals Pelu Jaghai Dava Ghar Anawrahta Health Care • Kinds of facilities • Teaching hospitals • Specialist hospitals • Provincial hospitals • District hospitals • Local health stations • Traditional clinics • 12 traditional medicine hospitals • Each province • 16-50 bed hospital • Each district • Medical officer, public health, and medicine

  8. Influenza Laboratory Testing National Laboratory PCR Diagnosis Closest WHO Reference Laboratory is in a neighboring country • Regional Laboratories • Serological Diagnosis No laboratory testing Traditional Hospital Provincial Hospital

  9. Surveillance Infrastructure • National notifiable disease surveillance system • Immediate reporting • Diphtheria • Cholera • Yellow fever • Routine reporting (3 days) • Standard reporting form

  10. Part I: Routine Surveillance for Respiratory Disease and Seasonal Influenza

  11. Question 1 The main goals of routine (seasonal) influenza surveillance include all of the following EXCEPT: • Describe virus circulation and provide virus isolates for vaccine development • Provide rapid response to seasonal outbreaks • Define the epidemiology and patterns of viral circulation • Provide a support mechanism for pandemic early warning and monitoring systems Answer: b.

  12. Question 2 What surveillance approach might be used to achieve these goals? • Universal surveillance • Sentinel site surveillance • Influenza registry • Laboratory-based reporting Answer: b. Sentinel site surveillance for: • Hospitalizations due to respiratory disease • Outpatient visits for influenza-like illness

  13. Arrival in Pegu You are to : • Evaluate the influenza and respiratory disease surveillance infrastructure • Work with the MOH to develop a protocol to implement a sustainable national influenza surveillance system

  14. The Pegu Deputy Director • Situation: Due to mass poultry die-offs • Team: Chief Surveillance Officer and the Director of Epidemiology, and you • Develop guidelines for expanding their national pneumonia and influenza surveillance system • Use money from World Bank to develop pandemic early warning network

  15. Current Case Identification • Clinician initiated pnuemonia and influenza surveillance among hospitalized patients • Doctors select hospitalized patients • No case definitions • Nasopharyngeal and serum specimens submitted to regional laboratories • Regional laboratories test sera • National laboratories test high-priority specimens and confirm positive influenza A results from regional laboratories

  16. Current Laboratory Testing • Regional laboratories test clinical specimens • Acute and convalescent samples for serum specimens • 90% of specimens tested within 9 days • National laboratory conducts PCR for severe cases • Confirmatory tests within 24-48 hours • Detailed characterization performed at WHO reference laboratory • Number of influenza A specimens shared with WHO unknown

  17. Current Surveillance Reports • Routine reports monthly • Based on total counts of patients discharged with pneumonia, ARI, or clinician-defined influenza • Data presented by • Age • Gender • 1% diagnosed with laboratory confirmed influenza • 3-4% of specimens tested at National Laboratory are influenza positive, annually

  18. Current Data Collection on Pneumonia Cases • Standard patient-level data form for any patient tested for influenza • Consistent and accurate data entry • Case demographics • Date of admission • Date of data entry • Limited completeness / updating of fields • Specimen collection • Date of illness onset • Fever • Final laboratory results

  19. Your Data Collection • All 21 provincial hospitals submit P & I data • 4 of 6 you visited report data monthly • Criteria for “pneumonia” discharge are unclear • National laboratory confirms influenza A, B, and subtypes Involvement with WHO FluNet unclear • Data do not suggest seasonality Two hospitals account for 70% of pneumonia cases • Feedback to physicians occurs rarely, if ever

  20. Question 3 Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? Before we answer…

  21. Remember…. Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? • Objectives of virologic surveillance • Describe the epidemiology and burden of disease of influenza, and • Provide virologic isolates for vaccine development

  22. Question 3 Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? • Consider: • Timeliness • Answer: • Not many metrics have been defined • Lag of up to 9 days for testing refrigerated specimens is long • May affect influenza confirmation rate

  23. Question 3 What might be appropriate indicators for timeliness? • Data reporting, time from: • From sentinel site to the next administrative level • From administrative level to the national level • Time interval between date of onset of fever and specimen collection • Specimen testing, time from: • Collection to laboratory • Receipt of specimen to test result • Laboratory result to informing referring institution and physician

  24. Question 3 Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? • Consider: • Timeliness • Acceptability • Answer: • Lack of feedback to physicians limits acceptability to physicians

  25. Question 3 Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? • Consider: • Timeliness • Acceptability • Representativeness • Answer: • Large % of cases from only 2 hospitals • Many hospitals not reporting regularly • Need more information to determine representativeness of population

  26. Question 3 Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? • Consider: • Timeliness • Acceptability • Representativeness • Completeness • Answer: • Some sites over-represented compared to others • Laboratory data variable • Need to re-train clinicians and data-entry staff

  27. Question 3 Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? • Consider: • Timeliness • Acceptability • Representativeness • Data Validity / Data Quality • Answer: • No case definition limits ability to • Determine baseline • Interpret trends • Estimate rates of illness • Assess risk factors • Incomplete reporting by most facilities • Long refrigeration affects specimen quality

  28. Question 3 Does this system achieve the objectives for seasonal/human influenza surveillance that were discussed earlier? Why or why not? • Consider: • Timeliness • Acceptability • Representativeness • Data Validity / Data Quality • Flexibility • Answer: • With appropriate laboratory facilities, the system may be flexible enough to identify respiratory pathogens in circulation • With case definitions, the system could be expanded to capture a wider range of diseases

  29. Your Recommendations • Develop a standard case definition for “severe acute respiratory illness” • Formally identify sentinel sites • Training for sentinel site clinicians • Routinely send influenza isolates to WHO collaborating centers, and enter into WHO/Flu-Net • Implement a plan for regular feedback of surveillance information to clinicians • Immediate notification and response for high priority cases and clusters

  30. Your Recommendations • Performance indicators for objective monitoring and evaluation • Increase laboratory PCR testing • Additional laboratory quality control

  31. Your Next Task • Work with MOH of Pegu • Write a formal set of national guidelines • Outline the approach to establish sentinel surveillance • Standard case definition of SARI among hospitalized inpatients • Standard case definition if ILI among outpatients

  32. Question 4 What criteria will you use to decide where sentinel hospitals should be located? Answer: • Representative of a defined population • Reasonable logistics within the hospital for • Case identification • Specimen collection • Specimen transportation • Politically acceptable • Practically Feasible • Added benefit: Location in “high risk” location Number of facilities selected will be based on local resources Each facility should have a focal point to oversee collection and reporting of data and specimens

  33. CDC/WHO SARI Case Definitionfor persons > 5 years old Lower respiratory tract illness consisting of ALL of the following: • Sudden onset of fever over 38°C, AND • Cough or sore throat, AND • Shortness of breath or difficulty breathing, AND • Requiring hospital admission

  34. CDC/WHO Case Definitionfor persons < 5 years old Any child 2 months to 5 years of age with cough or difficult breathing and: • breathing faster than 50 breaths / minute (2 – 12 months) • breathing faster than 40 breaths / minute ( 1 – 5 years) or,  Any child 2 months to 5 years of age with cough or difficulty breathing and any of the following general danger signs: • Unable to drink or breastfeed • Vomits everything • Convulsions • Lethargic or unconscious • Chest indrawing or stridor in a calm child AND Requiring hospitalization

  35. Question 5 Which of the following are reasons why good SARI case definitions are a key data collection priority in Pegu? • The use of a SARI case definition provides some standardization of reporting across hospitals and regions. • Testing defined SARI cases will yield circulating pathogens and strains • Surveillance using a good SARI case definition will yield a better understanding of epidemiology and burden of respiratory disease • It could detect emergence of a new pathogen • All of the above Answer: e.

  36. Question 6 True or False: One drawback of Pegu’s case definition is that it is not sensitive enough Answer: False. Pegu’s case definition is sensitive. This is actually a drawback because the country’s single national laboratory could become overwhelmed with cases

  37. Question 7 What kinds of data should be collected from the SARI cases from which specimens are being collected and why? • Consider: • General information • Answer: • Unique identification number* • Medical record number* • Name (and parent’s name, if a minor)* • Date of Birth* • Sex* • Address* • Date of onset of symptoms* • Date of collection of epidemiologic data* • Part of an outbreak investigation • Inpatient or outpatient

  38. Question 7 What kinds of data should be collected from the SARI cases from which specimens are being collected? • Consider: • General information • Specimen • Answer: • Throat swab – date of collection* • Nasal swab– date of collection • Other specimen (if collected) – date of collection

  39. Question 7 What kinds of data should be collected from the SARI cases from which specimens are being collected? • Consider: • General information • Specimen • Clinical signs, symptoms • Answer: • Fever >38* • Cough* • Sore throat* • SOB/Difficulty breathing* • IMCI danger signs (per WHO protocols)* • Diarrhea

  40. Question 7 What kinds of data should be collected from the SARI cases from which specimens are being collected? • Consider: • General information • Specimen • Clinical signs, symptoms • Risk factor information • Answer: • Occupation * • Contact with: • Suspected H5N1 cases • Sick or dead poultry or wild birds* • Severe respiratory illness cases • Travel • Eating raw or undercooked poultry products

  41. Question 7 What kinds of data should be collected from the SARI cases from which specimens are being collected? • Consider: • General information • Specimen • Clinical signs, symptoms • Risk factor information • Pre-existing medical • Answer: • Liver disease* • Kidney disease* • Immune compromised state* • Neuromuscular dysfunction* • Diabetes* • Heart disease* • Lung disease* • Smoking history*

  42. Question 7 What kinds of data should be collected from the SARI cases from which specimens are being collected? • Consider: • General information • Specimen • Clinical signs, symptoms • Risk factor information • Pre-existing medical • Treatment history • Answer: • Vaccination against influenza within the past year* • Currently taking anti viral medicine

  43. Question 7: Key Points • Laboratory-Epidemiology link is critical • There must be a system in place where the same unique identifier is place on both sets of data

  44. Chief Surveillance Officer Response • Concerned about having too many hospitals report too many SARI cases, overwhelming the laboratory • Random sampling at hospitals may be complicated for staff • Instead suggests sampling all SARI cases from a few hospitals

  45. Surveillance for Less Severe Influenza • Chief Surveillance Officer would like to include less severe, more common, influenza cases in the system • Can be provided by outpatient surveillance • WHO criteria for influenza-like illness • Sudden onset of fever over 38C • Cough or sore throat • Absence of other diagnoses

  46. Question 8 How could the sentinel site system be expanded to include some less severe influenza cases? Answer: • Implement ILI surveillance in outpatient clinics of SARI sentinel-site hospitals • Weekly counts of ILI outpatient visits testing positive for influenza • Choose small sample of cases for specimen and epidemiologic data collection

  47. SARI and ILI Surveillance • Outpatient ILI surveillance at 5 SARI sentinel site hospitals • Systematically select first 2 cases each day for laboratory and epidemiologic investigation • Sentinel hospitals will provide weekly tally of total ILI cases at facilities

  48. Part II: Influenza A(H5N1) and Pandemic Early Warning Surveillance

  49. Media Reports • Mass deaths of flocks of chickens, geese, waterfowl • Southeastern Pegu • Ministry of Agriculture investigation 3 chicken samples ‘weakly positive’ for Influenza A (H5N1) • No systematic avian surveillance exists

  50. Question 9 Are you confident that a hospitalized human case of Influenza A(H5N1) would be recognized and responded to? Why or why not? Answer: No. • There is no system of 24-hr SARI notification and prioritization for influenza A (H5N1) testing • Rapid detection is needed: Treatment is most effective if given within 48 hours, but infectiousness may occur 24 hrs prior to onset – need to quickly identify cases and contacts

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