Outbreak Investigation Objectives for this session • Describe – the principles of outbreak investigation – the steps in outbreak investigation.
Download ReportTranscript Outbreak Investigation Objectives for this session • Describe – the principles of outbreak investigation – the steps in outbreak investigation.
Outbreak Investigation Objectives for this session • Describe – the principles of outbreak investigation – the steps in outbreak investigation What is an outbreak ? • Occurrence of more cases of disease than expected – in a given area – among a specific group of people – over a particular period of time Food-or waterborne outbreak (WHO definition) • two or more persons • similar illness • after ingestion of the same type of food or water • from the same source • epidemiological evidence - the food or the water - the source of the illness Why investigate outbreaks? • Stop the outbreak – Find and neutralise the source (cause) – Prevent additional cases • • • • • Prevent future outbreaks Improve surveillance and outbreak detection Improve our knowledge Keep the public’s confidence Training Retrospective investigation • Often the outbreak exists since days, weeks, months • Many cases already occurred • Count on the memory of people • Many data already collected; use them or start all over? Never too late, but more difficult Community wide outbreak of Salmonellosis, Jura, spring 1997 Context • Alert: District medical officer • 80 cases of salmonellosis in 5 weeks • Salmonella Typhimurium • No link identified between cases • High political and media profile • Local outbreak team set up • Cases continued to occur Specific demands when investigating outbreaks • Unexpected event • Act quickly • Rapid control • Bias caused by media reports • Legal and financial pressure • Interdisciplinary coordination • Work carried out in the field Systematic approach Investigation Dead Surveillance Exposed Prediction Epidemiology Vector Reservoir Clinicians Co-ordination Food safety Supply channels Trace back Sick Laboratory Clinical Specimen transfer Investigation Diagnostic Media Authorities Decisions Infrastructure Regulations Vaccinations etc Role of the Epidemiologist • Systematic Description • Identification of risk factors (by descriptive or analytical means) • Identification of interventions • Work with others to implement control measures • Evaluate the impact of control measures YOU MAY BE THE ONE TO COORDINATE ! Steps of an outbreak investigation • • • • • • • • Confirm outbreak and diagnosis Define a case Identify cases & obtain information Describe data collected and analyse Develop hypothesis Test hypothesis: analytical studies Special studies Communicate results, – including outbreak report • Implement control measure Detection Routine surveillance Clinical / Laboratory General public Media Surveillance and outbreak detection: Salmonella Goldcoast strains by month of isolation, 1993-1996 Number of isolates 60 40 Goldcoast Threshold Epidemic threshold facilitates detection 20 0 J M M J S N J M M J S N J M M J S N J M M J 1993 1994 Month 1995 1996 Confirm outbreak and diagnosis Is this an outbreak? • More cases than expected? • Surveillance data • Surveys: hospitals, labs, physicians Caution! • Seasonal variations • Notification artefacts • Diagnostic bias (new technique) • Diagnostic errors (pseudo-outbreaks) Cases of legionellosis by week of notification France, January 1996 - August 1997 Number of cases 8 7 6 5 4 3 2 1 0 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 3 6 9 12 15 18 21 24 27 30 33 1996 Week of notification 1997 Cases of legionellosis by week of notification France, January 1996 - August 1997 Number of cases 8 7 National meeting: legionellosis diagnosis and reporting 6 5 4 3 2 1 0 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 3 6 9 12 15 18 21 24 27 30 33 1996 Week of notification 1997 Confirm outbreak and diagnosis • Laboratory confirmation – serology – isolates, typing of isolates – toxic agents • Contact (visit) the laboratories • Meet attending physicians • Examine some cases Not always necessary to confirm all the cases but confirm a proportion throughout the outbreak Outbreak confirmed Immediate control measures? - prophylaxis - exclusion / isolation - public warning - hygienic measures - others Further investigation? - aetiological agent - mode of transmission - vehicle of transmission - source of contamination - population at risk - exposure causing illness Outbreak confirmed, further investigations warranted Form Outbreak Control Team? Team coordinates field investigation Epidemiologist Microbiologist Clinician Environmentalist Engineers Veterinarians Others Descriptive epidemiology - Who are the cases? (person) - Where do they live? (place) - When did they become ill? (time) Case definition • Standard set of criteria for deciding if a person should be classified as suffering from the disease under investigation • Criteria – clinical and/or biological criteria – time – place – person Case definition • Simple, practical, objective • Sensitive? • Specific? • Multiple case definitions – confirmed – probable – possible Case definition Outbreak of salmonellosis in the Jura, spring 1997 Confirmed case Probable case • diarrhoea (> 2 liquid stools • diarrhoea (> 2 liquid stools per day) or fever (> 38°C, per day) at least one day) and • isolate of S. Typhimurium and • in a resident of Jura or neighbouring communities • after May 1997 • contact (same household) with confirmed case • in a resident of the Jura or neighbouring communities • after May 1997 Identify & count cases notifications laboratories hospitals, GPs schools workplace, cases, media, etc Salmonellosis outbreak in the Jura case finding • All laboratories in the Jura district • Major laboratories in neighbouring districts • National reference laboratory • Food borne outbreak notifications • Interview of cases Identify & count cases Obtain information Identifying information Demographic information Clinical details Exposures and known risk factors Salmonellosis in the Jura Obtaining information Trawling questionnaire: • Attendance of events • Places visited • Food histories including, regional products Identify & count cases Obtain information Analysis of descriptive data Describe in - time - place - person Time Epi Curve • Histogram • Distribution of cases by time of onset of symptoms, diagnosis or identification – time interval depends on incubation period Cases 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 Days 8 9 10 11 12 Epi curve • Describe – start, end, duration – peak – importance – atypical cases Cases 10 9 8 7 6 5 4 3 2 1 0 1 • Helps to develop hypotheses – – – – – incubation period etiological agent type of source type of transmission time of exposure 2 3 4 Days 5 6 7 8 9 10 11 12 Epicurves Common point source Common persistent source cases cases 10 9 6 8 7 6 5 4 5 4 3 2 3 2 1 1 0 0 1 2 3 4 5 6 7 8 1 2 3 4 5 6 hours 7 8 9 10 11 12 days Propagated source cases 12 10 8 6 4 2 0 1 2 3 4 5 6 7 weeks 8 9 10 11 12 13 Estimation of time or period of exposure max incubation cases 6 5 min 4 3 2 1 0 1 2 3 4 exposure 5 6 7 8 Outbreak of typhoid fever, Germany, 2004 (source, Marion Muehlen) suspected case probable case confirmed case Longest incubation period: 60 N° cases Shortest incubation period: 6 15 25 April May 26 27 28 29 30 31 1 2 June Probable infection time period 3 4 5 6 7 8 9 10 11 5 2 3 1 4 12 13 14 15 Cases of Salmonella Typhimurium infection by week of onset of symptoms, Jura, May - June 1997. Number of cases 30 1 case 25 20 15 10 5 14 15 April 16 17 18 19 20 21 22 23 Mai Week of onset of symptoms 24 June 25 26 27 28 July Place • Place of residence • Place of possible exposure – – – – – work meals travel routes day-care leisure activities • Maps – identify an area at risk Distribution of cases of cholera, London 1854 PUMP B X WORK HOUSE PUMP A X X BROAD STREET PUMP PUMP C X X N PUMP W E S Person • Distribution of cases by age, sex, occupation,etc (numerator) – 60 female – 50 male • Distribution of these variables in population (denominator) – 600 females – 350 males • Attack rates – female: 60/600 – Males: 50/350 S.Typhimurium infection distribution of cases by age group, Jura, May - June 1997 Age groups (years) <1 No cases 2 1-5 36 6 - 14 22 15 - 64 29 > 65 9 Total 98 S.Typhimurium infection attack rates by age group, Jura, May - June 1997 Age groups (years) <1 nr of cases population 2 3,200 Attack rate per 100,000 63 1-5 36 16,000 225 6 - 14 22 30,300 72 15 - 64 29 159,500 18 > 65 9 39,100 22 Total 98 248,100 40 Develop hypotheses - Who is at risk of becoming ill? - What is the disease? - What is the source and the vehicle? - What is the mode of transmission? Outbreak of S. Typhimurium infections, Jura, spring 1997 Descriptive data No common place, event Hypotheses Most likely food borne S.Typhimurium Meat (beef), pork meat and meat products, poultry, dairy products, etc Regional product, local South of Jura district distribution Young childen most affected Product eaten by children Several cases moslim Pork products less likely Period of warm weather Barbeque, take away grilled chicken Outbreak linked to take away grilled chicken Publications Food consumption by cases, outbreak of Salmonellosis, Jura, spring 1997 Food Chipolatas Take away chicken Chicken bought raw Minced beef burger Pork Veal Comté Morbier Bleu de Gex have eaten 6 5 Total replies 15 17 % of cases exposed 40 29 7 16 44 7 17 41 9 8 13 14 6 17 17 17 16 10 53 47 77 88 60 Compare hypotheses with facts Test specific hypotheses Analytical studies - cohort studies - case-control studies Testing hypothesis • Cohort - attack rate exposed group - attack rate unexposed group • Case control - % of cases exposed - % of controls exposed Food consumption by cases and controls, outbreak of salmonellosis, Jura, spring 1997 Foods nr (%) of cases nr (%) of controls OR matched CI 95% 17 (40) 0,5 0,2 - 1,3 24 (57) 28 (67) 0,7 0,3 - 1,6 Beef 32 (78) 33 (79) 1 0,3 - 3,5 Pork 23 (59) 29 (76) 0,5 0,2 - 1,5 Veal 22 (54) 19 (46) 1,4 0,6 - 3,4 Chicken 30 (71) 34 (81) 0,6 0,2 - 1,7 Munster 4 (10) 1 (2) 4,0 0,5 - 35.8 Bleu de Gex 12 (35) 10 (24) 3,0 0,6 - 14,9 Comté 36 (86) 37 (88) 0,8 0,3 - 2,7 Morbier 33 (83) 23 (55) 6,5 1,4 - 28,8 have eaten have eaten (n=42) (n=42) Pâtés 11 (26) Sausages Verify hypothesis Special investigations/studies • Microbiological investigation • Environmental investigation • Veterinarian investigation • Trace back investigations (origin of foods) • Meteorological data • Entomological investigations Special complementary investigations, outbreak of S. Typhimurium infections, Jura, spring 1997 • Microbiological investigations – cheese samples cases homes, retail shops – human and food isolates by phage and molecular typing • Trace back investigation supply channels • Production plant – veterinarian (herds supplying milk) – occupational medicine – environmental Investigation of supply channels Whole saler Production plant CREMERIE Morbier vehicle of infection? • • • • Raw cows’ milk Eaten by children Regional product Morbier sampled at the residence of cases – S. Typhimurium isolated from 3 Morbiers leftovers – all other cheeses sampled tested negative • Trace back: single producer • No source of contamination identified Implement control measures May (must) occur at any time during the outbreak!! At first, general measures According to findings, more specific measures 1) Control the source of pathogen 2) Interrupt transmission 3) Modify host response Control measures, Outbreak of S. Typhimurium infections, Jura, 1997 At the beginning of the outbreak • Personal hygiene advice • Thorough cooking of meat and poultry After the investigation • Recall of the incriminated batches of Morbier cheese Outbreak report • Regular updates during the investigation • Detailed report at the end – communicate public health messages – influence public health policy – evaluate performance – training tool – legal proceedings Steps of an outbreak investigation • • • • • • • • Confirm outbreak and diagnosis Define case Identify cases and obtain information Descriptive data collection and analysis Develop hypothesis Analytical studies to test hypotheses Special studies Communication, including outbreak report • Implement control measures The Tasks !