Use of Surveillance Systems in Detection of a Ciguatera Fish Poisoning Outbreak - Orange County, Florida, 2014

Epidemiology of Ciguatoxin Poisoning Outbreaks in the United States Between 2001 and 2021

This study examined data from the Centers for Disease Control and Prevention's National Outbreak Reporting System between 2001 and 2021 for confirmed outbreaks of foodborne illness due to Ciguatoxin in the United States. Previous research into Ciguatoxin illness in the United States has focused on specific states or territories-namely Hawaii, Florida, Puerto Rico, and the Virgin Islands-meaning the national distribution of outbreaks remains unclear. In addition, while specific categories of seafood (e.g., reef fish) are known to carry elevated risk of illness due to Ciguatoxin poisoning, it remains unclear the extent to which specific seafood items are associated with the odds of being hospitalized in an outbreak. This study calculated descriptive statistics for the distribution of outbreaks by state, season, site of exposure, and implicated seafood item. Then, binomial regression was used to assess the relationship between the implicated seafood item in an outbreak and hospitalization. Results provided evidence that knowing the implicated seafood item in an outbreak is associated with the odds of hospitalization (χ25 = 33.023, p < 0.0001). Even when a seafood item was found to be associated with elevated odds of hospitalization, not all cases involved hospitalization. This finding aligns with Ciguatoxin poisoning case reports, noting that key epidemiological factors include not just the seafood item consumed but also the quantity and the part consumed (e.g., the head). In conclusion, public health officials should consider Ciguatoxin poisoning outbreaks as multidimensional and utilize information about the seafood consumed as well as the quantity and parts of the seafood consumed.

Identifying Incidents of Public Health Significance Using the National Poison Data System, 2013-2018

Data System. The American Association of Poison Control Centers (AAPCC) and the Centers for Disease Control and Prevention (CDC) jointly monitor the National Poison Data System (NPDS) for incidents of public health significance (IPHSs).Data Collection/Processing. NPDS is the data repository for US poison centers, which together cover all 50 states, the District of Columbia, and multiple territories. Information from calls to poison centers is uploaded to NPDS in near real time and continuously monitored for specific exposures and anomalies relative to historic data.Data Analysis/Dissemination. AAPCC and CDC toxicologists analyze NPDS-generated anomalies for evidence of public health significance. Presumptive results are confirmed with the receiving poison center to correctly identify IPHSs. Once verified, CDC notifies the state public health department.Implications. During 2013 to 2018, 3.7% of all NPDS-generated anomalies represented IPHSs. NPDS surveillance findings may be the first alert to state epidemiologists of IPHSs. Data are used locally and nationally to enhance situational awareness during a suspected or known public health threat. NPDS improves CDC's national surveillance capacity by identifying early markers of IPHSs.

Near-Real-Time Surveillance of Illnesses Related to Shellfish Consumption in British Columbia: Analysis of Poison Center Data

Background

Data from poison centers have the potential to be valuable for public health surveillance of long-term trends, short-term aberrations from those trends, and poisonings occurring in near-real-time. This information can enable long-term prevention via programs and policies and short-term control via immediate public health response. Over the past decade, there has been an increasing use of poison control data for surveillance in the United States, Europe, and New Zealand, but this resource still remains widely underused.

Objective

The British Columbia (BC) Drug and Poison Information Centre (DPIC) is one of five such services in Canada, and it is the only one nested within a public health agency. This study aimed to demonstrate how DPIC data are used for routine public health surveillance in near-real-time using the case study of its alerting system for illness related to consumption of shellfish (ASIRCS).

Methods

Every hour, a connection is opened between the WBM software Visual Dotlab Enterprise, which holds the DPIC database, and the R statistical computing environment. This platform is used to extract, clean, and merge all necessary raw data tables into a single data file. ASIRCS automatically and retrospectively scans a 24-hour window within the data file for new cases related to illnesses from shellfish consumption. Detected cases are queried using a list of attributes: the caller location, exposure type, reasons for the exposure, and a list of keywords searched in the clinical notes. The alert generates a report that is tailored to the needs of food safety specialists, who then assess and respond to detected cases.

Results

The ASIRCS system alerted on 79 cases between January 2015 and December 2016, and retrospective analysis found 11 cases that were missed. All cases were reviewed by food safety specialists, and 58% (46/79) were referred to designated regional health authority contacts for follow-up. Of the 42% (33/79) cases that were not referred to health authorities, some were missing follow-up information, some were triggered by allergies to shellfish, and some were triggered by shellfish-related keywords appearing in the case notes for nonshellfish-related cases. Improvements were made between 2015 and 2016 to reduce the number of cases with missing follow-up information.

Conclusions

The surveillance capacity is evident within poison control data as shown from the novel use of DPIC data for identifying illnesses related to shellfish consumption in BC. The further development of surveillance programs could improve and enhance response to public health emergencies related to acute illnesses, chronic diseases, and environmental exposures.

The Evolution of BioSense: Lessons Learned and Future Directions

The BioSense program was launched in 2003 with the aim of establishing a nationwide integrated public health surveillance system for early detection and assessment of potential bioterrorism-related illness. The program has matured over the years from an initial Centers for Disease Control and Prevention-centric program to one focused on building syndromic surveillance capacity at the state and local level. The uses of syndromic surveillance have also evolved from an early focus on alerts for bioterrorism-related illness to situational awareness and response, to various hazardous events and disease outbreaks. Future development of BioSense (now the National Syndromic Surveillance Program) includes, in the short term, a focus on data quality with an emphasis on stability, consistency, and reliability and, in the long term, increased capacity and innovation, new data sources and system functionality, and exploration of emerging technologies and analytics.

Case Finding Using Syndromic Surveillance Data During an Outbreak of Shiga Toxin-Producing Escherichia coli O26 Infections, Oregon, 2015

Shiga toxin-producing Escherichia coli (STEC) causes an estimated 265 000 infections in the United States annually. Of emerging non-O157:H7 STEC serotypes, O26 is the most commonly recognized. During an outbreak of STEC O26 in Oregon in 2015, we used syndromic surveillance data to supplement case finding by laboratory reporting. From 157 records retrieved by querying syndromic surveillance data, we detected 4 confirmed and 5 suspected cases. However, none of the suspected cases were confirmed by stool culture, and by the time that the data were being analyzed, the confirmed cases were already known to investigators. Syndromic surveillance data can potentially supplement case finding during outbreaks of foodborne disease. To be an effective case-finding strategy, timely completion of all steps, including collecting specimens from suspected cases, should be performed in real time.

An Updated Review of Ciguatera Fish Poisoning: Clinical, Epidemiological, Environmental, and Public Health Management

Ciguatera Fish Poisoning (CFP) is the most frequently reported seafood-toxin illness in the world. It causes substantial human health, social, and economic impacts. The illness produces a complex array of gastrointestinal, neurological and neuropsychological, and cardiovascular symptoms, which may last days, weeks, or months. This paper is a general review of CFP including the human health effects of exposure to ciguatoxins (CTXs), diagnosis, human pathophysiology of CFP, treatment, detection of CTXs in fish, epidemiology of the illness, global dimensions, prevention, future directions, and recommendations for clinicians and patients. It updates and expands upon the previous review of CFP published by Friedman et al. (2008) and addresses new insights and relevant emerging global themes such as climate and environmental change, international market issues, and socioeconomic impacts of CFP. It also provides a proposed universal case definition for CFP designed to account for the variability in symptom presentation across different geographic regions. Information that is important but unchanged since the previous review has been reiterated. This article is intended for a broad audience, including resource and fishery managers, commercial and recreational fishers, public health officials, medical professionals, and other interested parties.