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Outbreak bias in illness reporting and case confirmation in ciguatera fish poisoning surveillance in south Florida
Begier, E.M.; Backer, L.C.; Weisman, R.S.; Hammond, R.M.; Fleming, L.E.; Blythe, D. (2006). Outbreak bias in illness reporting and case confirmation in ciguatera fish poisoning surveillance in south Florida. Public Health Rep. 121(6): 658-665
In: Public Health Reports. Association of Schools of Public Health: Hyattsville, Md.. ISSN 0033-3549; e-ISSN 1468-2877, more
Peer reviewed article  
Available in  Authors 
Keyword
    Marine/Coastal
Authors  Top 
  • Begier, E.M.
  • Backer, L.C.
  • Weisman, R.S.
  • Hammond, R.M.
  • Fleming, L.E., more
  • Blythe, D.
Abstract
    ObjectiveCiguatera fish poisoning is a potentially life-threatening disease caused by eating coral reef fish contaminated with ciguatoxins and is the most common marine poisoning. However, existing surveillance systems capture few cases. To improve regional ciguatera surveillance in South Florida, this study compared ciguatera illnesses in the Florida Poison Information Center–Miami (FPICM) call database to ciguatera cases in the Florida Department of Health (FDOH) disease surveillance systems.MethodsUnivariate and multivariate logistic regression were used to identify predictors of when FPICM reported ciguatera illnesses to FDOH and whether FDOH confirmed reported ciguatera cases.ResultsFPICM staff preferentially reported ciguatera illnesses that were of shorter duration (adjusted odds ratio [AOR]=0.84 per additional illness day; 95% confidence interval [CI] 0.74, 0.97); outbreak-associated (AOR=7.0; 95% CI 2.5, 19.5); and clinically more severe (AOR=21.6; 95% CI 2.3, 198.5). Among ciguatera illnesses reported to FDOH, outbreak-associated illnesses were more likely than single, sporadic illnesses to become confirmed surveillance cases (crude OR=11.1; 95% CI 2.0, 62.5).ConclusionsThe over-representation of outbreak-associated ciguatera cases underestimates the true contribution of sporadic illnesses to ciguatera disease burden. This bias should be considered when evaluating surveillance systems that include both outbreak-associated and sporadic illness reports.
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