key: cord-319483-be8v9kuu authors: Mukherjee, Pratik; Lim, Poh Lian; Chow, Angela; Barkham, Timothy; Seow, Eillyne; Win, Mar Kyaw; Chua, Arlene; Leo, Yee Sin; Chen, Mark I-Cheng title: Epidemiology of Travel-associated Pandemic (H1N1) 2009 Infection in 116 Patients, Singapore date: 2010-01-17 journal: Emerg Infect Dis DOI: 10.3201/eid1601.091376 sha: doc_id: 319483 cord_uid: be8v9kuu In June 2009, during Singapore’s pandemic influenza plan containment phase, pandemic (H1N1) 2009 was introduced into the country through imported cases. To understand how travel patterns affected the initial outbreak, we examined epidemiologic and travel data for the first 116 case-patients admitted to Tan Tock Seng Hospital, Singapore, with travel-associated infection. Sixty-one percent and 54% of patients, respectively, met US Centers for Disease Control and Prevention and World Health Organization temperature criteria for influenza-like illness. One fourth of the case-patients traveled after illness onset, and 15% became ill while traveling. Regions of exposure for imported infections changed rapidly; case-patients initially arrived from North America, followed by Australasia and Southeast Asia. Case-patients on longer flights were more likely to become ill before arrival; those with shorter flights tended to become ill after arrival. Thermal scanners detected fevers in 12% of the arriving case-patients, resulting in a shorter time to isolation. In June 2009, during Singapore's pandemic infl uenza plan containment phase, pandemic (H1N1) 2009 was introduced into the country through imported cases. To understand how travel patterns affected the initial outbreak, we examined epidemiologic and travel data for the fi rst 116 case-patients admitted to Tan Tock Seng Hospital, Singapore, with travel-associated infection. Sixty-one percent and 54% of patients, respectively, met US Centers for Disease Control and Prevention and World Health Organization temperature criteria for infl uenza-like illness. One fourth of the case-patients traveled after illness onset, and 15% became ill while traveling. Regions of exposure for imported infections changed rapidly; case-patients initially arrived from North America, followed by Australasia and Southeast Asia. Case-patients on longer fl ights were more likely to become ill before arrival; those with shorter fl ights tended to become ill after arrival. Thermal scanners detected fevers in 12% of the arriving case-patients, resulting in a shorter time to isolation. O n April 24, 2009, international authorities reported cases of infection with a novel infl uenza A virus (H1N1) strain of swine origin, now known as pandemic (H1N1) 2009 virus; 7 cases in the United States and 3 clusters in Mexico were confi rmed, and surveillance indicated infl uenza-like-illness (ILI) had been increasing in Mexico since March 18, 2009 (1) . During the next 3 months, this virus spread rapidly across the globe, resulting in >254,206 cases and at least 2,837 deaths on 6 continents as of August 30, 2009 (2) . For most countries, the initial introduction of this virus occurred through international travel and humanto-human transmission. The role of air travel in the transmission and dissemination of respiratory infections has been examined for severe acute respiratory syndrome (SARS), pneumonic plague, and extensively drug-resistant tuberculosis (3-6). Grais et al. (7) explored the possible effect of airline travel on geographic spread of pandemic infl uenza in 2000 through simulation models of the pandemic infl uenza A virus (H3N2) of 1968-69, using air travel data for 53 global cities. The effect of air travel on facilitating the transmission and dissemination of infl uenza is borne out by other recent studies suggesting that decreased volumes of air travel in the 2-3 months after the terrorist attacks in the United States on September 11, 2001 , delayed that winter's seasonal infl uenza peak and decreased transmission (8) . Human-to-human transmission of infl uenza during air travel has been reported to occur on fl ights of at least 8 hours and to affect passengers seated within 2 rows of the index case-patient (6) . However, other reports show that respiratory infections can spread during shorter fl ights and over considerable distances within the cabin (3, 9) . For the purposes of infl uenza contact tracing, the World Health Organization (WHO) has defi ned considerable exposure on aircraft as being restricted to passengers sitting in the same row or within 2 rows of an infectious person for a fl ight time of >8 hours (10) . Singapore implemented the containment phase of its pandemic infl uenza plan on April 27, 2009, before pandemic (H1N1) 2009 was introduced into the country. Public health policy during this phase was to isolate infected case-patients and quarantine exposed persons to prevent local transmission for as long as possible. During this initial period, travel from a pandemic (H1N1) 2009-affected During the containment phase, airport thermal scanners were used to detect fevers in arriving passengers at Singapore's Changi International Airport, and health advisories were used to encourage travelers in whom infl uenza-like symptoms developed after disembarkation to seek medical care. Ambulances, dedicated for this purpose only, were used to transport suspected case-patients from the airport to hospitals for screening. Adults with appropriate travel histories and ILI were referred to the designated screening center at Tan Tock Seng Hospital (TTSH) for treatment and isolation at the Communicable Disease Centre. During the mitigation phase, the focus of clinical and public health efforts shifted to caring for patients with severe illness and conditions that put them at risk for complications and to reducing transmission in the community through health education and voluntary selfisolation of persons with ILI. We analyzed epidemiologic and travel data as well as data regarding source of referral for case-patients in relation to time of illness onset, time of arrival in Singapore, and time to isolation. Understanding how travel patterns affected propagation of the fi rst pandemic wave of pandemic (H1N1) 2009 virus could yield insights into how the anticipated next wave might be disseminated and provide data on the effectiveness and limitations of different interventions used to slow dissemination. We obtained demographic data and travel-related information (last port of embarkation and fl ight times) by direct interview and retrospective review of clinical notes. Duration of travel, which was calculated from fl ight times and transit time within airports, was categorized into 4 groups: short haul (<3 hours), medium haul (3-6 hours), long haul (6-15 hours), and extra-long haul (>15 hours). Clinical data were collected for symptoms and date and time of symptom onset (to the nearest hour in most instances and to the nearest 8-hour block [midnight to 7:59 AM, 8:00 AM to 3.59 PM, or 4:00 PM to 11:59 PM] if the patient was unsure). Symptom onset time was further categorized as before embarkation, during travel, or after disembarkation in Singapore. We also categorized hospitalized case-patients on the basis of whether their symptoms met US Centers for Disease Control and Prevention (CDC) ILI criteria (body temperature >37.8°C with either cough or sore throat in the absence of an alternative diagnosis) and WHO ILI criteria (body temperature >38°C with either cough or sore throat in the absence of an alternative diagnosis) (11, 12) . A confi rmed case of pandemic (H1N1) 2009 was defi ned as an ILI in a patient with a temperature >37.5°C, cough, rhinorrhea, sore throat, or myalgia and with laboratory confi rmation of infection by real-time reverse transcription-PCR performed on respiratory samples (sputum or combined nasal and throat swab specimens). An imported, travel-associated case was defi ned as above but occurred in a person with recent travel outside Singapore who had arrived in Singapore during the containment period and had illness onset within 10 days of arrival. We compared proportions by using the χ 2 test. Means were compared by use of t tests for dichotomous variables and 1-way analysis of variance for multichotomous variables. Stata 10.0 for Windows (StataCorp LP, College Station, TX, USA) was used for all statistical analyses. From Table 1 . Infections involved equal numbers of male and female travelers and occurred predominantly in young travelers (mean age 28.5 years; 70% were <30 and 7% were >50 years of age). Half of the travelers were Singaporeans returning from abroad, and the other half were travelers from other countries. As shown in Figure 1 , the regions where travelers were exposed to pandemic (H1N1) 2009 virus changed rapidly during the 5-week period of study. Most of the cases in epidemiologic weeks 21 and 22 (May 24 through June 6) were in patients who acquired their infection in the United States; however, within 2 weeks, this had changed dramatically, with a large proportion of cases coming from Australasia in epidemiologic week 23 (June 7-13). Within a week, this situation changed yet again; most infections originated from Southeast Asia by epidemiologic weeks 24-25 (June 14-27). The fi rst cases of pandemic (H1N1) 2009 detected among travelers arriving from the Philippines (week 22), Thailand (week 23), and Indonesia (week 25) indicated potential community transmission in those countries earlier than offi cial announcements. Infections from Southeast Asian countries accounted for 29% of imported cases dur-ing the containment phase; the Philippines were linked to 23% cases, mostly in weeks 24-25. Travel duration refl ects the distance between the regions of exposure and Singapore (Table 1) . Of the 116 case-patients, 19% had a short travel duration (<3 hours), and 20% had a long travel duration (>15 hours). Although most case-patients became ill after arrival at their destination, 25% were ill before travel and boarded their fl ight despite symptomatic illness, and 15% became ill while traveling. Doctors based at the airport referred 15 (12.9%) of the 116 patients to TTSH; thermal scanners used to screen arriving passengers had detected fever in 14 of these 15 patients. Of the remaining 101 patients, 51 (44%) self-reported to the screening center at TTSH and 50 (43%) were referred by doctors in the community. At the time of examination, 72% of case-patients had temperatures >37.5°C. However, only 61.2% had temperatures >37.8°C and 54% had temperatures >38°C, the temperature criteria used in the US CDC and WHO ILI case defi nitions, respectively. Considering the entire symptom complex, 51% of patients would have fulfi lled ILI criteria as defi ned by the US CDC, and 44% would have fulfi lled the WHO criteria (11, 12) . As the pandemic shifted toward Asian ports of embarkation, the number of case-patients with travel durations of <8 hours increased (Figure 2, panel A) . The time of symptom onset relative to arrival in Singapore is shown in Figure 2, panel B ; the fi gure does not include information for patients who were symptomatic before embarkation. Time of symptom onset was progressively closer to the time of arrival in Singapore for those arriving from longer distances (p = 0.001). Patients with longer travel durations were also more likely to have onset of symptoms before arrival (p = 0.04). Port of embarkation, clinical symptoms, and duration of travel did not predict delay to isolation ( Table 2) . However, case-patients referred to TTSS by airport doctors had a shorter time to isolation (0.76 days) than self-referred patients or those referred by other sources (1.6-1.9 days). The number of case-patients referred by airport doctors increased over the 5-week period, but they represent only 12% of all travel-associated cases ( Figure 3 ). Although the mean duration to isolation did not increase signifi cantly over the study period, total numbers of case-patients with delays to isolation increased as the volume of travel-associated cases rose. Given Singapore's position as a major travel hub, with passenger traffi c at Changi International Airport exceeding 37 million in 2008 (13) , there is an ever-present risk of importation and subsequent community transmission of emerging respiratory infections. Such importation and transmission occurred during the SARS epidemic of 2003 (14) and remains a concern during the current pandemic of pandemic (H1N1) 2009 virus. In any epidemic, every imported case may start a cluster of locally transmitted cases, but the number of imported cases and delays to isolation are particularly important at the start of the epidemic in determining speed of spread within the community. Improving detection and shortening time to isolation of infectious persons could modify the outbreak curve and allow more time for improving community preparedness. Improving detection and shortening the time to isolation of sick persons is the rationale for using airport thermal scanners. Our data show that for the minority of cases detected by airport thermal scanners, detection does result in a hospital referral by an airport doctor and shorter time to isolation. However, intrinsic limitations of airport thermal scanners are that passengers have to become symptomatic before disembarking from a fl ight and have a fever high enough to be detected. Our data show that >30% of casepatients from all fl ights >3 hours had symptom onset before arrival, but overall, only 12% of all case-patients were detected by thermal scanners, suggesting that thermal scanners detected 40% of those symptomatic patients. This early detection and isolation may still have a valuable adjunctive role, especially in the initial phase of outbreaks. Situations favoring the use of airport thermal scanners include shortincubation diseases and geographically distant outbreak epicenters, such that arriving passengers have been on a long-haul fl ight. However, if the converse were true, with 24 Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 16, No. 1, January 2010 transmission occurring in nearby countries and passengers arriving from short-haul fl ights, symptoms would develop in most passengers who become ill after entry and, thus, would be missed by airport thermal scanners. The fact that one fourth of the case-patients in our study boarded a plane after becoming ill and traveled despite having symptoms illustrates the role of travelers in disseminating infection in a highly interconnected world. It raises the question of whether exit screening should be considered. However, the effectiveness of exit screening will depend on the role of asymptomatic persons in transmission, and such screening will still miss persons who are incubating the infection. Exit screening would severely hinder international travel, and because of its questionable effi cacy, it may not be justifi ed and may be contrary to the intent of the International Health Regulations 2005 (15) Because 44% of the case-patients in this study were self-referred and 43% were referred by community physicians, prevention efforts should focus on other strategies. For example, health advisories should be distributed to arriving passengers, encouraging them to seek medical care if ill, and steps should be taken to improve detection by physicians who see patients in their clinics. The importance of clinical judgment, epidemiologic history, and access to diagnostic testing is emphasized by the substantial minority of case-patients who would not have met the WHO or US CDC ILI criteria but who did have laboratory-confi rmed infection. However, our study did have limitations: clinical features were assessed at a single time point (on arrival at the hospital screening center) and there was potential recall bias. Our data demonstrate how swiftly situations can change in a fast-moving pandemic; affected areas shifted from the Americas to Australasia to Asia within a matter of days. These rapid shifts pose a tremendous challenge to health authorities responsible for outbreak management, and they emphasize the narrow window of opportunity during which interventions can slow an epidemic. The monitor- ing of travelers fulfi lls a vital sentinel surveillance function, providing an early indicator of community transmission in countries even before transmission has been offi cially confi rmed. Understanding how travel-associated infections propagated the fi rst wave of this pandemic yields rich insights into how health authorities might respond to future outbreaks of emerging respiratory infections. 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Technical advice for case management of infl uenza A (H1N1) in air transport Interim guidance on case defi nitions to be used for investigations of novel infl uenza A (H1N1) 2009 cases Human infection with pandemic (H1N1) 2009 virus: updated interim WHO guidance on global surveillance Changi Airport media release Severe acute respiratory syndrome (SARS) in Singapore: clinical features of index patient and initial contacts We gratefully acknowledge all our healthcare colleagues in TTSH, the Communicable Disease Centre, and the Ministry of Health, Singapore, who have worked so hard on patient care and public health efforts during this pandemic.This study was partially funded by the National Medical Research Council of Singapore (NMRC/H1N1/001/2009).Dr Mukherjee is a medical offi cer in communicable epidemiology at TTSH. His research interests include disease epidemiology, clinical research, and pandemic infl uenza.