Peer-Reviewed Journal Tracking and Analyzing Disease Trends pages 963–1160 EDITOR-IN-CHIEF D. Peter Drotman Managing Senior Editor EDITORIAL BOARD Polyxeni Potter, Atlanta, Georgia, USA Dennis Alexander, Addlestone Surrey, United Kingdom Senior Associate Editor Timothy Barrett, Atlanta, GA, USA Brian W.J. Mahy, Bury St. Edmunds, Suffolk, UK Barry J. Beaty, Ft. Collins, Colorado, USA Martin J. Blaser, New York, New York, USA Associate Editors Christopher Braden, Atlanta, GA, USA Paul Arguin, Atlanta, Georgia, USA Arturo Casadevall, New York, New York, USA Charles Ben Beard, Ft. Collins, Colorado, USA Kenneth C. Castro, Atlanta, Georgia, USA Ermias Belay, Atlanta, GA, USA Louisa Chapman, Atlanta, GA, USA David Bell, Atlanta, Georgia, USA Thomas Cleary, Houston, Texas, USA Corrie Brown, Athens, Georgia, USA Vincent Deubel, Shanghai, China Charles H. Calisher, Ft. Collins, Colorado, USA Ed Eitzen, Washington, DC, USA Michel Drancourt, Marseille, France Daniel Feikin, Baltimore, MD, USA Paul V. Effl er, Perth, Australia Kathleen Gensheimer, Cambridge, MA, USA David Freedman, Birmingham, AL, USA Duane J. Gubler, Singapore Peter Gerner-Smidt, Atlanta, GA, USA Richard L. Guerrant, Charlottesville, Virginia, USA Stephen Hadler, Atlanta, GA, USA Scott Halstead, Arlington, Virginia, USA Nina Marano, Atlanta, Georgia, USA David L. Heymann, London, UK Martin I. Meltzer, Atlanta, Georgia, USA Charles King, Cleveland, Ohio, USA David Morens, Bethesda, Maryland, USA Keith Klugman, Atlanta, Georgia, USA J. Glenn Morris, Gainesville, Florida, USA Takeshi Kurata, Tokyo, Japan Patrice Nordmann, Paris, France S.K. Lam, Kuala Lumpur, Malaysia Tanja Popovic, Atlanta, Georgia, USA Stuart Levy, Boston, Massachusetts, USA Didier Raoult, Marseille, France John S. MacKenzie, Perth, Australia Pierre Rollin, Atlanta, Georgia, USA Marian McDonald, Atlanta, Georgia, USA Ronald M. Rosenberg, Fort Collins, Colorado, USA John E. McGowan, Jr., Atlanta, Georgia, USA Dixie E. Snider, Atlanta, Georgia, USA Tom Marrie, Halifax, Nova Scotia, Canada Frank Sorvillo, Los Angeles, California, USA Philip P. Mortimer, London, United Kingdom David Walker, Galveston, Texas, USA Fred A. Murphy, Galveston, Texas, USA David Warnock, Atlanta, Georgia, USA Barbara E. Murray, Houston, Texas, USA J. Todd Weber, Stockholm, Sweden P. Keith Murray, Geelong, Australia Henrik C. Wegener, Copenhagen, Denmark Stephen M. Ostroff, Harrisburg, Pennsylvania, USA Founding Editor David H. Persing, Seattle, Washington, USA Joseph E. McDade, Rome, Georgia, USA Richard Platt, Boston, Massachusetts, USA Copy Editors Karen Foster, Thomas Gryczan, Nancy Mannikko, Gabriel Rabinovich, Buenos Aires, Argentina Beverly Merritt, Carol Snarey, P. 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Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 June 2011 On the Cover Pandemic (H1N1) 2009 Risk Max Weber (1881–1961) for Frontline Health Care Workers ..........1000 Figures (c. 1914) C. Marshall et al. Pastel on paper (61 cm × 45.7 cm) Clinical workers did not have a substantially greater High Museum of Art, Atlanta risk for infection. Gift in memory of Louis Regenstein by his wife Helen and sons Lewis and Kent Campylobacteriosis Decline after Interventions Aimed at About the Cover p. 1156 Poultry, New Zealand ...............................1007 A. Sears et al. A population-level food safety response successfully reduced disease incidence. Synopsis Laboratory Service Effectiveness Wild Birds and Highly Pathogenic during Pandemic (H1N1) 2009, Avian Infl uenza (H5N1) among Victoria, Australia .......................................963 Poultry, Thailand .......................................1016 M. Catton et al. J. Keawcharoen et al. The greatest challenges were insuffi cient staff and Wild birds are associated with increased virus test reagents. transmission. Research Methicillin-Resistant Staphylococcus aureus, Samoa, 2007–2008 ......................1023 Multiple Introductions of J. Alesana-Slater et al. Multidrug-Resistant Tuberculosis A wide range of MRSA genotypes cause wound into Households, Lima, Peru .....................969 p. 1024 infections. T. Cohen et al. Data on household transmission are needed to develop optimal treatment. Taenia solium Tapeworm Infection, Binary Toxin and Death after Oregon, 2006–2009 ...................................1030 Clostridium diffi cile Infection ....................976 S. O’Neal et al. S. Bacci et al. Incidence was higher than expected. Strains with this toxin and toxins A and B were associated with high case-fatality rates. p. 1072 Cefepime-Resistant Invasive Group A Streptococcal Pseudomonas aeruginosa .......................1037 Infection and Vaccine Implications, E. Akhabue et al. Auckland, New Zealand .............................983 A. Safar et al. Of tested organisms, 8.4% were resistant to one of the last effective drugs available. The proposed 26-valent vaccine would provide limited benefi t. Historical Review Antiviral Drugs to Reduce Household Refl ections on 30 Years of AIDS .............1044 Transmission of Pandemic (H1N1) 2009, K.M. De Cock et al. United Kingdom ..........................................990 Although the end of the epidemic is not yet in sight, R.G. Pebody et al. the remarkable response has improved health around Early treatment of primary case-patients and the world. prophylaxis of household contacts provide effective protection. Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 Dispatches 1049 Reassortant Pandemic (H1N1) 2009 Virus June 2011 in Pigs, United Kingdom W.A. Howard et al. 1116 Patients’ Geographic Origins and Viral Hepatitis Co-infection Patterns, Spain 1053 Immunologic Changes during Pandemic S. Pérez Cachafeiro et al. (H1N1) 2009, China H.-H. Shen et al. 1120 Possible Novel Nebovirus Genotype in Cattle, France 1056 Human Infection with Avian Infl uenza J. Kaplon et al. Virus, Pakistan, 2007 M. Zaman et al. Letters 1060 Novel Reassortant Highly Pathogenic Avian Infl uenza (H5N5) Viruses in Domestic 1124 Vibrio cholerae in Traveler from Haiti to Ducks, China Canada M. Gu et al. 1125 Easy Diagnosis of Invasive Pneumococcal 1064 Multidrug-Resistant Acinetobacter Disease baumannii Harboring OXA-24 Carbapenemase, Spain 1127 Mimivirus-like Particles in Acanthamoebae J. Acosta et al. from Sewage Sludge 1068 Internet Queries and Methicillin-Resistant p. 1084 1129 Rabies Immunization Status of Dogs, Staphylococcus aureus Surveillance Beijing, China V.M. Dukic et al. 1131 Effect of Media Warnings on Rabies 1071 Porcine Reproductive and Respiratory Postexposure Prophylaxis, France Syndrome in Hybrid Wild Boars, China 1132 Bedbugs as Vectors for Drug-Resistant J. Wu et al. Bacteria 1074 Hepatitis E Virus Seroprevalence and 1134 Community Vaccinators in the Workplace Chronic Infections in Patients with HIV, Switzerland 1135 MRSA in Retail Meat, Detroit, Michigan A. Kenfak-Foguena et al. 1137 Suspected Horse-to-Human Transmission 1079 Macrolide Resistance in Mycoplasma of MRSA ST398 pneumoniae, Israel, 2010 1139 Screening for Pandemic (H1N1) 2009 Virus D. Averbuch et al. among Hospital Staff, Spain 1083 Outcome Predictors in Treatment of Yaws p. 1145 1140 Pandemic (H1N1) 2009 and HIV Infection O. Mitjà et al. 1143 Swine Infl uenza Virus A (H3N2) Infection in 1086 Increasing Ceftriaxone Resistance in Human, Kansas, 2009 Salmonellae, Taiwan 1145 Severe Leptospirosis Similar to Pandemic L.-H. Su et al. (H1N1) 2009, Florida and Missouri 1091 Salmonella enterica Serotype Typhi and 1147 HKU1 Coronavirus in Children, Brazil, 1995 Quinolone Resistance Phenotype M. Accou-Demartin et al. 1148 Macrolide Resistance–associated Mutation in Mycoplasma genitalium 1095 Ciprofl oxacin-Resistant Salmonella enterica Serotype Typhi, United States, 1150 Saffold Cardioviruses in Children with 1999–2008 Diarrhea, Thailand F. Medalla et al. 1152 Lethal Necrotizing Pneumonia and ST398 1099 High Vancomycin MIC and Complicated Staphylococcus aureus (response) MSSA Bacteremia 1153 ESBL-producing Escherichia coli in J.M. Aguado et al. Neonatal Care Unit (response) 1103 New Porcine Calicivirus in Swine, United States Book Review Q. Wang et al. 1107 Invasive Streptococcus pneumoniae in 1155 Emerging Infections 9 Children, Malawi, 2004–2006 J.E. Cornick et al. About the Cover 1110 Worldwide Distribution of Major Clones of Listeria monocytogenes 1156 The only emperor is the emperor V. Chenal-Francisque et al. of ice-cream 1113 Klebsiella pneumoniae Bacteremia and Etymologia Capsular Serotypes, Taiwan 1082 Yaws C.-H. Liao et al. Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 Reality Check of Laboratory Service Effectiveness during Pandemic (H1N1) 2009, Victoria, Australia Michael Catton, Julian Druce, Georgina Papadakis, Thomas Tran, and Christopher Birch No campaign plan survives fi rst contact with the severe outcomes), and protect (identify and manage those enemy.—Helmuth Graf von Moltke at risk for severe illness and those in vulnerable settings such as aged-care facilities). The pandemic plan envisaged In Australia, the outbreak of pandemic (H1N1) 2009 all Australian states moving together through the pandemic began in Melbourne, Victoria; in the fi rst 17 days, the phases. In practice, however, Victoria implemented the Victorian Infectious Diseases Reference Laboratory sustain phase, referred to as modifi ed-sustain, sooner than detected 977 cases. Although the laboratory had a other states. pandemic plan in place, a retrospective evaluation found The fi rst 3 case-patients were siblings who had recently 3 major variations from plan assumptions: 1) higher peak demand not limited by a case defi nition, 2) prolonged returned from the United States (Figure 1). When the peak demand because containment attempts continued outbreak began, Victorian health authorities implemented despite widespread infl uenza, and 3) unexpected infl uence the contain phase (3), and laboratory confi rmation of of negative test results on public health actions. Although cases was conducted by the Victorian Infectious Diseases implementation of the plan was generally successful, the Reference Laboratory (VIDRL). Attempted containment greatest challenges were limited availability of skilled staff ceased on June 3 when confi rmed cases totaled 977, and test reagents. Despite peak demand of 1,401 tests at which time laboratory testing was restricted to that per day, results were provided within the usual 24 hours appropriate under a modifi ed-sustain phase. By June 23, of specimen receipt; however, turnaround time seemed when the modifi ed-sustain phase ended, 1,406 cases had slower because of slow transport times (>3 days for 45% been laboratory confi rmed and 1 patient had died. Testing of specimens). Hence, effective laboratory capability might efforts subsequently moved to those required under the be enhanced by speeding transport of specimens and improving transmission of clinical data. protect phase. By September 27, a total of 6,895 cases in Victoria had been reported, 24 of them fatal (3), although the true number of cases is probably greater. The pandemic (H1N1) 2009 outbreak in Australia was We describe VIDRL provision of laboratory support for detected in Victoria on May 18, 2009, and during the pandemic (H1N1) 2009 outbreak response in Victoria. the following weeks spread to other states. Pandemic We critically appraise the effectiveness of this laboratory’s planning guidelines for Australia consist of 4 phases (1): pandemic planning from 3 perspectives: 1) how the reality delay (identify and test persons who meet a clinical case of the pandemic matched planning assumptions, 2) how defi nition), contain (home quarantine laboratory-confi rmed successfully this planning facilitated workfl ow in practice, case-patients and give antiviral prophylaxis to their and 3) how successfully the laboratory delivered the contacts), sustain (restrict laboratory testing to persons required testing. with clinically defi ned cases who are at increased risk for Pandemic Planning Author affi liation: Victorian Infectious Diseases Reference Our planned algorithm for infl uenza A virus testing Laboratory, North Melbourne, Victoria, Australia involved extraction of RNA from clinical specimens by using QIAxtractor or BioRobot Universal System DOI: 10.3201/eid1706.101747 Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 963 SYNOPSIS PCRs being conducted each day for 2 weeks. Second, a step-down in demand with a focus on severe or atypical cases that needed testing for clinical management would result in ≈200 tests being conducted each day for several months. Implicit in the latter phase was that a clinical case defi nition would suffi ce for most uncomplicated infl uenza cases and that dominant circulation of the pandemic strain would enable a test result of “infl uenza A detected” from many laboratories to be a de facto diagnosis of pandemic (H1N1) 2009 infection. Some laboratory capacity would be reserved for outbreak monitoring by sentinel surveillance and detailed strain characterization. All routine diagnostic laboratory activity (≈1,000 tests/day) for diseases other than infl uenza would proceed routinely, but elective activities Figure 1. Number of patients with infl uenza-like illness and numbers of laboratory detections of pandemic (H1N1) 2009 derived from such as research would be delayed as needed. primary care physician infl uenza surveillance together with the To realize this pandemic plan, certain measures phases of the outbreak in Victoria (VIC). The phases are as follows: were undertaken at VIDRL. They were 1) assembly of delay (conduct active surveillance and border control measures), enough nucleic acid extraction robotics and real-time PCR contain (restrict establishment of the pandemic), modifi ed-sustain analyzers for >500 daily PCRs, 2) recruitment and training (minimize transmission and maintain health services), and protect (focus on those at risk for severe outcomes). Modifi ed from (1,2), of 2 additional scientists who could work in the testing laboratory during a major outbreak, 3) planning for the temporary reassignment of scientifi c staff with appropriate extraction robots (each from QIAGEN, Valencia, CA, skills from other laboratory areas during an outbreak, 4) USA), followed by reverse transcription with random cross-training of secretarial and clerical staff to enter hexamers. cDNA was amplifi ed in parallel assays by using patient and specimen data into the laboratory information an Applied Biosystems 7500 Fast Real-Time PCR System system, 5) manning of the laboratory telephone switchboard (Foster City, CA, USA) and incorporating primers and by clerical staff, and 6) creation of a small stockpile of probes selective for the matrix gene of infl uenza A viruses, essential laboratory reagents. including that of the pandemic (H1N1) 2009 virus, and for the hemagglutinin (HA) gene of that virus. (Sequences of Effectiveness of Testing all primers and probes used in these assays are available During the initial contain phase, the number of tests upon request to M.C.). run was high. On June 1, the day of peak testing, 1,401 Our model of anticipated pandemic infl uenza testing PCRs for infl uenza were performed, this being the sum of comprised 2 phases. First, an initial peak of intense testing the matrix gene PCRs performed on each referred specimen needed to identify early cases would result in >500 additional and HA gene PCRs performed on matrix gene PCR-positive Figure 2. Number of diagnostic specimens received at the Victorian Infectious Diseases Reference Laboratory and laboratory detections of pandemic (H1N1) 2009 virus, Victoria, Australia, 2009. 964 Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 Laboratory Service during Pandemic (H1N1) 2009 samples (Figure 2). In contrast, a typical daily peak number in winter would be ≈100. However, the laboratory was able to sustain peak levels of infl uenza testing and provision of results within typical turnaround times. The times from specimen data entry into the laboratory information system to result reporting were calculated by extracting data from the Laboratory Information System (Medipath, LRS Health; Melbourne, Victoria, Australia) with an integral analytic software module. Because the actual time of specimen arrival is not searchable on our system, the representativeness of this electronic data as a proxy for total test turnaround time was verifi ed by a manual audit of 200 Medipath fi les. This procedure compared the manually stamped arrival time and date on scanned digital images of specimen request forms received on June 1, the busiest day of the outbreak, with the corresponding time and date Figure 3. Mean turnaround times for Victorian Infectious Diseases recorded electronically for result reporting. This manual Reference Laboratory detection of infl uenza, Victoria, Australia, audit gave a faster estimate for turnaround time than the 2008 and 2009. electronic search, probably because the latter includes data from weekends (data not shown). The mean turnaround time from specimen data data from patient to testing site and provision of results acquisition to result reporting for the 4 peak months of the back to the patients’ caregivers must also be optimal. To do 2009 outbreak was <24 hours (Figure 3). For all except a so required a systemwide planning approach that was less 2-week period in June, this turnaround time was faster than than complete at the onset of the pandemic. More planning the equivalent turnaround time for the winter of 2008. The will be needed for optimal functioning under the pressures main contributors to this outcome were longer than usual imposed by a future large outbreak (Table). working hours for scientifi c and support staff, coupled with high levels of automation. Effectiveness of Pandemic Planning Specimens were transported by courier to VIDRL During the pandemic, 3 key elements differed from Melbourne hospitals, other laboratories, and general substantially from our planning assumptions: 1) we did practitioners on behalf of Victorian health authorities. The not predict the expectation that all community respiratory duration of time from specimen collection to arrival at disease would be tested, 2) we did not plan for testing VIDRL varied. Transport times for all pandemic (H1N1) to continue long after widespread community spread of 2009–positive samples were calculated by comparing the infl uenza was evident, and 3) we had not considered that interval between the laboratory receipt time and date stamp negative test results would be so infl uential to the public and the recorded collection time and date on digital images health response. This outbreak was the fi rst infl uenza of specimen request cards. Positive samples were chosen pandemic during which provision of real-time diagnostic for analysis because of the relative ease with which this dataset could be collated from the laboratory information system. The positive samples were representative of the total sample group from which they came; ≈15% of positive specimens arrived on the day of collection, 40% arrived the next day, and ≈30% arrived over the next 2 days (Figure 4). Despite maintenance of typical test turnaround times, these transport times contributed to clinicians’ perception of slow turnaround times (4), for which VIDRL received numerous complaints. During the pandemic, it was common to receive telephone inquiries for results for specimens that had arrived only hours earlier or had yet to arrive. Our pandemic planning had focused primarily on resources and processes under our control within the Figure 4. Timing of receipt of pandemic (H1N1) 2009 virus– laboratory. However, for optimal functioning of the whole positive specimens by the Victorian Infectious Diseases Reference testing cycle, the movement of specimens and accompanying Laboratory, Australia, 2009. Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 965 SYNOPSIS Table. Summary of laboratory effectiveness during pandemic (H1N1) 2009, Victoria, Australia, 2009 Challenge Potential solution Data management Pressure on specimen data entry into laboratory information Direct electronic communications of specimen data from system referring source to laboratory Missing telephone, fax, address details on request forms Direct electronic communication of results from laboratory to referring source Volume of negative results precluding telephone contact with Direct electronic communication of results from laboratory to referring source referring source Specimen transport Slow Multi-institution planning of efficient emergency specimen transport Poor interfacing with test start times in laboratory Multi-institution planning of efficient emergency specimen transport Staff Finite laboratory staff resources Further minimization of manual steps for specimen processing and additional staff cross-training Telephone inquiries Difficulty manning switchboard over extended laboratory hours Planning for additional agency staff during emergencies High call volume to laboratory taking scientific staff away from Minimization of inquiries through improved specimen transport testing and data management Reagents Shortages threatening test capacity Expansion of reagent stockpile and use of validated test protocols using reduced reagent volumes Communication Misunderstandings regarding scope and objectives of Strengthened lines of communication between laboratories, laboratory testing clinicians, and health authorities Pandemic planning Lack of flexibility to accommodate verging levels of influenza Adapted pandemic plan activity at state jurisdiction level virologic testing on large numbers of specimens had been network within the fi rst week of the outbreak (3). Unlimited a practical possibility. This testing capability created high testing as infl uenza spread rapidly in the community drove expectations among users of our service. Our pandemic testing demand to extremely high levels. The reasons for planning had sought to provide a realistic volume of testing continuation of the contain phase are complex but were capacity for anticipated public health and clinical needs. in part a consequence of the pandemic plan’s treatment of However, the initial expectation from the community and the country as a homogeneous whole, although in reality many clinicians during the contain phases was that all the Victoria outbreak occurred several weeks sooner than cases of respiratory disease in the community would be outbreaks in other Australian states (5). In contrast to tested. This expectation is not unusual in highly publicized the higher than expected peak, testing levels during the infectious disease outbreaks, but because the at-risk subsequent step-down phase were lower than provided for population was effectively unlimited in this outbreak, the in our plan (Figure 2). This fi nding is consistent with the demand was extreme. Most samples received were from relative clinical mildness of the pandemic (H1N1) 2009 persons who were relatively healthy, as evidenced by virus strain; in Victoria, only 0.3% of infected patients telephone conversations between our medical staff and were hospitalized in the fi rst 10 weeks of the outbreak (6). patients, clinical details when provided on request forms, In past outbreaks, we focused on urgent and accurate and by the dramatic drop in demand later during the sustain communication of positive laboratory results that identifi ed phase when testing was focused on those truly at risk for cases, and we communicated negative results en masse serious illness (Figure 2). by routine systems, including electronic links to major Our planning model of a 2-week initial surge followed health care institutions. However, during pandemic by a step-down to clinically focused testing proved correct. (H1N1) 2009, major public health actions were triggered However, the contain phase of high-demand testing by negative results, including cessation of quarantine continued well beyond the point at which it was fi rst evident restrictions and decisions about antiviral prophylaxis. that community transmission was widespread. Only 9 of While communication of large numbers of positive results the fi rst 978 case-patients had a history of overseas travel to clinicians and public health authorities challenged (3), and pandemic (H1N1) 2009 began to be detected from resources, urgent and personalized transmission of a much our sentinel general practitioner infl uenza surveillance larger number of negative results was not possible. This 966 Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 Laboratory Service during Pandemic (H1N1) 2009 limitation was further compounded by the frequency with of our testing algorithm (from an initial test algorithm which telephone or fax numbers of primary care physicians involving infl uenza A matrix gene PCR primers and H1 were missing on request forms; hence, laboratory reporting HA gene primers run in parallel to an algorithm involving depended on postal addresses, which were also frequently the matrix gene alone with subsequent HA subtyping of incomplete or missing. Spot checks of request forms positive samples on the same day); and, immediately performed several times during the outbreak found this after introduction of the modifi ed-sustain phase, adhering problem on up to 10% of request forms. rigidly to the criteria for test eligibility circulated by health authorities. Adhering to these criteria included storing, but Implementation of Planning not testing, samples from persons determined to not be at Many aspects of our laboratory pandemic planning substantial clinical risk. This practice caused unhappiness worked well in practice; outbreak testing facilities and among some clinical colleagues but preserved suffi cient equipment platforms provided the required test capacity capacity to guarantee testing for patients in clinical need. (as many as 1,400 extra PCRs in 1 day). Employment of additional scientists before the outbreak also provided Outbreak Monitoring considerable benefi ts. In other areas, a great deal of As described elsewhere (2,3), a network of 80 general commitment and hard work from staff compensated for practitioners in metropolitan Melbourne and rural Victoria planning shortcomings. Notably, preparations for surge conducted infl uenza surveillance, coordinated by VIDRL, capacity in several support areas, including patient data from May through October 2009. Laboratory testing for entry and dealing with telephone inquiries, could not infl uenza was conducted for a subset of these cases, and match demand and required additional effort to resolve test results were made available online (7). This testing bottlenecks. Because our system of data entry requires activity was maintained during the time of heavy laboratory specifi c skills, we could not use temporary agency staff for demand because of the perceived need to collect unbiased data entry. In practice, cross-trained secretarial staff and data on infl uenza activity comparable to data collected volunteers proved too slow for the demand, and their needs during the previous 10 years of infl uenza surveillance. for support impeded the work of skilled staff. Particularly The number of laboratory-confi rmed cases of pandemic after hours, laboratory test results were often available infl uenza (3) was heavily infl uenced by community testing before complete data entry had been performed, delaying behavior and by guidelines for testing promulgated by release of hard-copy laboratory reports. A technical health authorities. This infl uence is shown clearly in the solution involving electronic upload of test requests from abrupt reductions in testing and detections of infl uenza in clinicians seems the best future approach to this problem. Victoria after June 3, when the pandemic response phase Scientists in our organization who were not involved changed from contain to modifi ed-sustain (Figure 2). in infl uenza testing, envisaged as providing a pool of Hence, the number and timing of laboratory-confi rmed supplementary staff with PCR or virology skills, were cases were unrepresentative of the wider outbreak. In rarely able to perform this function during the outbreak. The contrast, laboratory-supported infl uenza surveillance capacity of support staff who were performing functions undertaken in parallel with diagnostic testing provided such as specimen reception was almost entirely consumed monitoring of the course of the outbreak relatively free by the demands of receiving infl uenza specimens. Staff of these effects (Figure 1) and, as described elsewhere, in other laboratory areas helped absorb demand by taking enabled direct comparison of the outbreak with >10 years over these functions for their own specimens but then of seasonal infl uenza (3,7,8). could not reasonably release scientifi c staff to supplement infl uenza testing. As a result, those involved in infl uenza Conclusions testing worked long hours, supported by scientists from Operationally, the pandemic (H1N1) 2009 outbreak other laboratory areas who were also working overtime. tested our laboratory preparedness in ways that no exercise Although this approach was sustainable for weeks, it could could; yet some of the potential pressures were limited not have continued through the outbreak. by the relatively low clinical severity of the virus. The Lastly, the small stockpile of PCR reagents proved numbers, speed, and accuracy of tests conducted, along insuffi cient. The high demand for testing during the contain with real-time tracking of the outbreak through laboratory- phase required a commensurate amount of reagents. supported infl uenza surveillance, were unimaginable less Suppliers in Australia were initially unable to keep up than a decade ago. Facilities, equipment, and PCR-based with our rapidly escalated demand. This limitation was testing performed extremely well. Limits to the available successfully managed by using reduced reaction volumes pool of skilled staff and the threat of reagent shortages (because of a shortage of random hexamers, the volume of provided challenges where contingency plans had only reverse-transcribed cDNA was halved); changing aspects been partly successful. Staff performed admirably in the Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011 967 SYNOPSIS face of these challenges, but in the future, more effective 3. Fielding J, Higgins N, Gregory J, Grant K, Catton M, Bergerei I, solutions will be required. The greatest improvements in et al. Pandemic H1N1 infl uenza surveillance in Victoria, Australia, April–September, 2009. Euro Surveill. 2009;14:pii:19368. overall performance of the laboratory testing cycle will 4. Jardine A, Conaty SJ, Cretikos MA, Su WY, Gosbell IA, van Hal be achieved through increasing the speed of specimen SJ. Infl uenza A testing and detection in patients admitted through transport and improving transmission of clinical data to and emergency departments in Sydney during winter 2009: implications from the laboratory. for rational testing. Med J Aust. 2010;193:455–9. 5. Bishop JF, Murnane MP, Owen RO. Australia’s winter with the 2009 pandemic infl uenza A (H1N1) virus. N Engl J Med. 2009;361:2591– Acknowledgment 4. doi:10.1056/NEJMp0910445 We thank Kristina Grant for reproduction of infl uenza-like 6. Lum ME, McMillan AJ, Brook CW, Lester R, Piers LS. Impact of pandemic (H1N1) 2009 infl uenza on critical care capacity in Victo- illness data shown in Figure 1. ria. Med J Aust. 2008;191:502–6. Dr Catton is director and head of virology at VIDRL in 7. Victorian Infectious Diseases Reference Laboratory. Sentinel infl u- enza surveillance 2009 [cited 2010 Jun 23]. http://www.vidrl.org.au/ Melbourne, Australia. His professional interests are molecular surveillance/fl u%20reports/fl urpt09/fl u09.html viral diagnostics and emerging viruses. 8. Kelly H. A pandemic response to a disease of predominantly seasonal intensity. Med J Aust. 2009;192:81–3. doi:10.1111/j.1442-2026.1995. tb00211.x References Address for correspondence: Michael Catton, Victorian Infectious 1. Australian Government Department of Health and Ageing. Aus- Diseases Reference Laboratory, Locked Bag 815, Carlton South, Victoria tralian health management plan for pandemic infl uenza. Canberra (Australia): The Department; 2008. p. 20–2. 3053, Australia; email: [email protected] 2. Grant KA, Carville K, Fielding JE, Barr IG, Riddell MA, Tran T, et al. High proportion of infl uenza B characterizes the 2008 infl uenza season in Victoria. Commun Dis Intell. 2009;33:328–36. 968 Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 17, No. 6, June 2011