Development and assessment of a hospital admissions-based syndromic surveillance system for COVID-19 in Ontario, Canada: ACES Pandemic Tracker.

BACKGROUND: The COVID-19 pandemic has continued to pose a major global public health risk. The importance of public health surveillance systems to monitor the spread and impact of COVID-19 has been well demonstrated. The purpose of this study was to describe the development and effectiveness of a real-time public health syndromic surveillance system (ACES Pandemic Tracker) as an early warning system and to provide situational awareness in response to the COVID-19 pandemic in Ontario, Canada. METHODS: We used hospital admissions data from the Acute Care Enhanced Surveillance (ACES) system to collect data on pre-defined groupings of symptoms (syndromes of interest; SOI) that may be related to COVID-19 from 131 hospitals across Ontario. To evaluate which SOI for suspected COVID-19 admissions were best correlated with laboratory confirmed admissions, laboratory confirmed COVID-19 hospital admissions data were collected from the Ontario Ministry of Health. Correlations and time-series lag analysis between suspected and confirmed COVID-19 hospital admissions were calculated. Data used for analyses covered the period between March 1, 2020 and September 21, 2020. RESULTS: Between March 1, 2020 and September 21, 2020, ACES Pandemic Tracker identified 22,075 suspected COVID-19 hospital admissions (150 per 100,000 population) in Ontario. After correlation analysis, we found laboratory-confirmed hospital admissions for COVID-19 were strongly and significantly correlated with suspected COVID-19 hospital admissions when SOI were included (Spearman's rho = 0.617) and suspected COVID-19 admissions when SOI were excluded (Spearman's rho = 0.867). Weak to moderate significant correlations were found among individual SOI. Laboratory confirmed COVID-19 hospital admissions lagged in reporting by 3 days compared with suspected COVID-19 admissions when SOI were excluded. CONCLUSIONS: Our results demonstrate the utility of a hospital admissions syndromic surveillance system to monitor and identify potential surges in severe COVID-19 infection within the community in a timely manner and provide situational awareness to inform preventive and preparatory health interventions.

A longitudinal analysis of temporal and spatial incidence of neonatal abstinence syndrome in Ontario: 2003-2016.

OBJECTIVE: This study describes the incidence of neonatal abstinence syndrome (NAS) in Ontario, Canada by year and health region from 2003 to 2016. DESIGN: The incidence of NAS diagnoses per 1,000 live births was calculated for the 36 local public health agency regions in Ontario from 2003 to 2016 using retrospective hospital admissions data. Infants with a diagnosis of NAS were identified using ICD-10 code P961. Local public health agency level data were aggregated and analyzed by geographic region and by Statistics Canada 2015 Peer Groups. RESULTS: The incidence of NAS in Ontario increased from 0.99 per 1,000 live births in 2003 to 5.94 per 1,000 live births in 2016. There were major differences in NAS incidence by geography, North Western Ontario had the greatest incidence across all years. Health regions with a rural and population center mix or mostly rural population had greater incidence rate of NAS compared to health regions with high density population centers. CONCLUSIONS: The incidence of NAS has dramatically increased across Ontario in the last decade. Actions should be taken to combat the continued increase in NAS rates, especially in health regions with disproportionately high incidence of NAS.

Characterizing the Effects of Extreme Cold Using Real-time Syndromic Surveillance, Ontario, Canada, 2010-2016.

Morbidity and mortality from exposure to extreme cold highlight the need for meaningful temperature thresholds to activate public health alerts. We analyzed emergency department (ED) records for cold temperature-related visits collected by the Acute Care Enhanced Surveillance system-a syndromic surveillance system that captures data on ED visits from hospitals in Ontario-for geographic trends related to ambient winter temperature. We used 3 Early Aberration Reporting System algorithms of increasing sensitivity-C1, C2, and C3-to determine the temperature at which anomalous counts of cold temperature-related ED visits occurred in northern and southern Ontario from 2010 to 2016. The C2 algorithm was the most sensitive detection method. Results showed lower threshold temperatures for Acute Care Enhanced Surveillance alerts in northern Ontario than in southern Ontario. Public health alerts for cold temperature warnings that are based on cold temperature-related ED visit counts and ambient temperature may improve the accuracy of public warnings about cold temperature risks.

Risk Assessment During the Pan American and Parapan American Games, Toronto, 2015.

During the summer of 2015, the Pan American and Parapan American Games took place in the Greater Toronto area of Ontario, Canada, bringing together thousands of athletes and spectators from around the world. The Acute Care Enhanced Surveillance (ACES) system-a syndromic surveillance system that captures comprehensive hospital visit triage information from acute care hospitals across Ontario-monitored distinct syndromes throughout the games. We describe the creation and use of a risk assessment tool to evaluate alerts produced by ACES during this period. During the games, ACES generated 1420 alerts, 4 of which were considered a moderate risk and were communicated to surveillance partners for further action. The risk assessment tool was useful for public health professionals responsible for surveillance activities during the games. Next steps include integrating the tool within the ACES system.

Emergency department surveillance as a proxy for the prediction of circulating respiratory viral disease in Eastern Ontario.

BACKGROUND: Seasonal outbreaks of winter respiratory viruses are responsible for increases in morbidity and mortality in the community. Previous studies have used hospitalizations, intensive care unit and emergency department (ED) visits as indicators of seasonal influenza incidence. OBJECTIVES: To evaluate whether ED visits can be used as a proxy to detect respiratory viral disease outbreaks, as measured by laboratory confirmation. METHODS: An Emergency Department Syndromic Surveillance system was used to collect ED chief complaints in Eastern Ontario from 2006 to 2010. Comparable laboratory-confirmed cases of respiratory viral infections were collected from the Public Health Ontario Laboratory in Kingston, Ontario. Correlations between ED visits and laboratory-confirmed cases were calculated. RESULTS: Laboratory-confirmed cases of selected respiratory viruses were significantly correlated with ED visits for respiratory and fever/influenza-like illness. In particular, respiratory syncytial virus (Spearman's rho = 0.593), rhinovirus (Spearman's rho = 0.280), influenza A (Spearman's rho = 0.528), influenza B (Spearman's rho = 0.426) and pH1N1 (Spearman's rho = 0.470) increased laboratory test levels were correlated with increased volume of ED visits across a number of age demographics. For the entire study population and all studied viruses, the Spearman's rho was 0.702, suggesting a strong correlation with ED visits. Laboratory-confirmed cases lagged in reporting by between one and two weeks for influenza A and pH1N1 compared with ED visit volume. CONCLUSION: These findings support the use of an Emergency Department Syndromic Surveillance system to track the incidence of respiratory viral disease in the community. These methods are efficient and can be performed using automated electronic data entry versus the inherent delays in the primary care sentinel surveillance system, and can aid the timely implementation of preventive and preparatory health interventions.

HISTORIQUE: Les éclosions saisonnières des virus respiratoires hivernaux sont responsables d'augmentations de la morbidité et de la mortalité dans la collectivité. Les études antérieures faisant appel aux hospitalisations, aux séjours aux unités de soins intensifs et aux consultations à l'urgence comme indicateurs de l'incidence d'influenza saisonnière. OBJECTIFS: Évaluer si les consultations à l'urgence pour déceler les éclosions de maladies respiratoires virales peuvent remplacer les confirmations mesurées en laboratoire. MÉTHODOLOGIE: Les chercheurs ont utilisé un système de surveillance syndromique des urgences pour colliger les principaux problèmes ayant suscité une consultation à l'urgence entre 2006 et 2010 dans l'est de l'Ontario. Ils ont colligé des cas comparables d'infections respiratoires virales confirmés en laboratoire auprès des Laboratoires de santé publique de l'Ontario situés à Kingston, en Ontario. Ils ont calculé les corrélations entre les consultations à l'urgence et les cas confirmés en laboratoire. RÉSULTATS: Les cas confirmés en laboratoire de certains virus respiratoires possédaient une corrélation significative avec les consultations à l'urgence en raison de maladies respiratoire, liées à la fièvre ou de type grippal. Notamment, l'augmentation en laboratoire des taux de virus respiratoire syncytial (Rho de Spearman = 0,593), de rhinovirus (Rho de Spearman = 0,280), d'influenza A (Rho de Spearman = 0,528), d'influenza B (Rho de Spearman = 0,426) et de grippe pH1N1 (Rho de Spearman = 0,470) était corrélée avec l'augmentation du volume de consultations à l'urgence dans plusieurs groupes d'âge. Dans l'ensemble de la population et des virus à l'étude, le Rho de Spearman s'établissait à 0,702, ce qui laisse supposer une forte corrélation avec les consultations à l'urgence. Les déclarations de cas d'influenza A et de grippe pH1N1 confirmés en laboratoire avaient de une à deux semaines de retard par rapport au volume de consultations à l'urgence. CONCLUSION: Ces résultats appuient le recours à un système de surveillance syndromique des urgences pour suivre l'incidence de maladies respiratoires virales dans la collectivité. Ces méthodes sont efficaces et peuvent être effectuées au moyen de saisies de données électroniques automatisées plutôt que de s'associer aux délais inhérents au système de surveillance sentinelle en soins de première ligne, et elles peuvent contribuer à la mise en œuvre rapide d'interventions de santé préventives et préparatoires.

Automated mortality surveillance in south-eastern Ontario for pandemic influenza preparedness.

BACKGROUND: The recent Canadian experience with pandemic H1N1 (pH1N1) influenza in 2009 highlighted the need for enhanced surveillance at local and regional levels to support evidence-based decision making by physicians and public health. We describe the rationale, methodology, and provide preliminary findings from the implementation of an automated Mortality Surveillance System (MSS) in the Kingston, Frontenac and Lennox & Addington (KFL&A) health unit. METHODS: The MSS utilized an automated web-based framework with secure data transfer. A data sharing agreement between the local Medical Officer of Health and the City of Kingston facilitated weekly updates of mortality data. Deaths due to influenza were classified using keywords in the cause of death and a phonetic algorithm to capture alternate spellings. Anomaly detection was modeled on the modified cumulative sum algorithm implemented in the Early Aberration Reporting System. RESULTS: Retrospective analysis of municipal mortality data over a 10-year period established baseline mortality rates in the region. MSS data monitored during the pH1N1 influenza season showed no significant impact on the burden or timing of mortality in the KFL&A health unit. CONCLUSION: Municipal data enabled surveillance of mortality in the KFL&A region with weekly updates. Other municipalities may participate in this surveillance project using the Kingston model without significant ongoing investment. Efforts to improve data quality at the physician and transcription level are ongoing. Integration of mortality data and other real-time data streams into an integrated electronic public health dashboard could provide decision-makers with timely information during public health emergencies.

Telehealth Ontario detection of gastrointestinal illness outbreaks.

OBJECTIVE: Prompt detection of infectious disease outbreaks and rapid introduction of mitigation strategies is a primary concern for public health, emergency and security management organizations. Traditional surveillance methods rely on astute clinical detection and reporting of disease or laboratory confirmation. Although effective, these methods are slow, dependent on physician compliance and delay timely, effective intervention. To address these issues, syndromic surveillance programs have been integrated into the health care system at the earliest points of access; in Ontario, these points are primary care providers, emergency departments (ED), and Telehealth Ontario. This study explores the role of Telehealth Ontario, a telephone helpline, as an early warning system for detection of gastrointestinal (GI) illness. METHODS: Retrospective time-series analysis of the National Ambulatory Care Reporting System (NACRS) ED discharges and Telehealth Ontario data for GI illness from June 1, 2004 to March 31, 2006. RESULTS: Telehealth Ontario recorded 184,904 calls and the NACRS registered 34,499 ED visits for GI illness. The Spearman rank correlation coefficient was calculated to be 0.90 (p < 0.0001). Time-series analysis resulted in significant correlation at lag (weekly) 0 indicating that increases in Telehealth Ontario call volume correlate with increases in NACRS data for GI illness. CONCLUSION: Telehealth Ontario call volume fluctuation reflects directly on ED GI visit data on a provincial basis. Telehealth Ontario GI call complaints are a timely, novel and representative data stream that shows promise for integration into a real-time syndromic surveillance system for detection of unexpected events.

Real-time surveillance for respiratory disease outbreaks, Ontario, Canada.

To validate the utility of a chief complaint-based emergency department surveillance system, we compared it with respiratory diagnostic data and calls to Telehealth Ontario about respiratory disease. This local syndromic surveillance system accurately monitored status of respiratory diseases in the community and contributed to early detection of respiratory disease outbreaks.

Can Telehealth Ontario respiratory call volume be used as a proxy for emergency department respiratory visit surveillance by public health?

OBJECTIVE: There is a paucity of information regarding the usefulness of non-traditional data streams for real-time syndromic surveillance systems. The objective of this paper is to examine the temporal relation between Ontario's emergency department (ED) visits and telephone health line (Telehealth) call volume for respiratory illnesses to test the feasibility of using Ontario's Telehealth system for real-time surveillance. METHODS: Retrospective time-series data from the National Ambulatory Care Reporting System (NACRS) and the Telehealth Ontario program from June 1, 2004, to March 31, 2006, were analyzed. The added value of Telehealth Ontario data was determined by comparing it temporally with NACRS data, which uses the International Classification of Diseases (ICD) 10-Canadian Enhancement coding system for discharge diagnoses. RESULTS: Telehealth Ontario had 216,105 calls for respiratory complaints, while 819,832 ICD-coded complaints from NACRS were identified with a comparable diagnosis of respiratory illness. Telehealth Ontario call volume was heavily weighted for the 0-4 years age group (49%), while the NACRS visits were mainly from those 18-64 years old (44%). The Spearman rank correlation coefficient was calculated to be 0.97, with the time-series analysis also resulting in significant correlations at lags (semi-monthly) 0 and 1, indicating that increases in Telehealth Ontario call volume correlate with increases in NACRS discharge diagnosis data for respiratory illnesses. CONCLUSION: Telehealth Ontario call volume fluctuation reflects directly on ED respiratory visit data on a provincial basis. These call complaints are a timely, useful and representative data stream that shows promise for integration into a real-time syndromic surveillance system.

Pain prevalence in nine- to 13-year-old schoolchildren.

BACKGROUND: Despite significant progress in the epidemiology of chronic pain in adults, major gaps remain in our understanding of the epidemiology of chronic pain in children. In particular, the incidence, prevalence and sensory characteristics of many types of pain in Canadian children are unknown. OBJECTIVES: A study to obtain the lifetime and point prevalence of common acute pains, recurrent pain syndromes and chronic pains was conducted in a cohort of 495 school children, nine to 13 years of age, in eastern Ontario. METHODS: Children reported their pain experiences and described the intensity, affect and duration of the pains experienced over the previous month by completing the Pain Experience Interview -- Short Form. RESULTS: The majority of children (96%) experienced some acute pain over the previous month, with headache (78%) being most frequently reported. Lifetime prevalence for certain acute pains differed significantly by sex (P<0.05). Fifty-seven per cent of children reported experiencing at least one recurrent pain, while 6% were identified as having had or currently having chronic pain. DISCUSSION: The prevalence of acute pain in this Canadian cohort is consistent with international estimates of acute pain experiences (ie, headache) and recurrent pain problems (ie, recurring headache, abdominal pain and growing pains). However, 6% of children reported chronic pain. The self-completed Pain Experience Interview--Short Form provides a feasible administration technique for obtaining population estimates of childhood pain, and for conducting longitudinal studies to identify risk and prognostic factors for chronic pain.