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.

Recommendations for action: a community meeting in preparation for a mass-casualty opioid overdose event in Southeastern Ontario.

Given the steady rise of overdose morbidity and mortality in North America, and increasing frequency of sudden clusters of non-fatal and fatal overdoses in other jurisdictions, regional preparedness plans to respond effectively to clusters of overdoses may reduce the impact of such events on the population. On the 27th of February 2017 in Kingston, Ontario, KFL&A Public Health, in collaboration with public health partners, hosted a full-day workshop involving table-top exercises and discussions for service partners on how to prepare for, respond to, and manage a mass-casualty event secondary to opioid overdose in Southeastern Ontario. The workshop assisted in identifying the various challenges faced by service partners, provided an understanding of the roles and responsibilities of partner agencies, and helped to determine next steps in preparation to address a mass opioid overdose situation at the local level. This report suggests key roles and responsibilities of partners involved in responding to a mass-casualty event secondary to opioid overdose, recommendations to address the feedback and challenges raised throughout the workshop, and a protocol to help determine when to activate an Incident Management System (IMS).

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.

Delayed parenthood on the rise: A call for upstream preconception health promotion in Canada.

The trend toward delayed parenthood is on the rise across Canada. Societal emphasis on attaining higher education, career advancement and financial security may be some reasons why individuals delay becoming a parent; whatever the reason, this trend is linked to significant health and economic impacts. Many Canadians are unaware of the impact this may have on their fertility and potential birth outcomes. It is important that health care professionals apprise individuals in their reproductive years about these issues and the steps they can take to mitigate these risks. Implementing a health equity and broader determinants of health approach through social policy development may also prove beneficial. Such upstream approaches could enhance maternal and child health outcomes, and also help ensure that people of reproductive age are making an informed decision about delaying parenthood. This article calls for developing a comprehensive preconception health promotion and care strategy encompassing individual, community and population level approaches.

Who uses telehealth? Setting a usage baseline for the early identification of pandemic influenza activity.

OBJECTIVE: To describe Ontario Telehealth usage for respiratory complaints during normal (i.e., interpandemic) circumstances. METHODS: Descriptive analyses were conducted on symptom calls of a respiratory nature made to Ontario (Canada) Telehealth during a 25-month period. RESULTS: Approximately 300,000 calls were made during the period under study, peaking annually in January/February. Calls were above average during the weekend and Mondays (p<0.0001). All-ages consultation rate was 0.21/1,000 (range, 0.11-0.43). Standardized call rates suggested an inverse relationship between age and call rate (except for >65 years of age). During peak activity, weekly telehealth call rates were up to more than twice the weekly mean and up to four times as high as the lowest weekly rate. Highest call rate was for under 5 years old (158.4/1,000). Male rates exceed female call rates in younger age groups; the pattern reversed in older age groups. The relationship between income and call pattern showed that income and call patterns were (1) directly related for under 5 years old, (2) inversely related for callers aged 45 years and above, and (3) bimodal (higher call rates in both the highest and lowest income groups) for callers 5-44 years old. DISCUSSION: The advent of annual respiratory illness seasons under study here resulted in surge capacity. Data such as these can and should be used for exercises such as seasonal and pandemic forecasting. Also, recent pandemic experience has showed us monitoring both overall exceedances in usage and deviances from established demographic patterns could enhance existing routine surveillance.

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.