Can North American animal poison control center call data provide early warning of outbreaks associated with contaminated pet food? Using the 2007 melamine pet food contamination incident as a case study

PLoS One. 2022 Dec 8;17(12):e0277100. doi: 10.1371/journal.pone.0277100. eCollection 2022.

Abstract

The 2007 melamine pet food contamination incident highlighted the need for enhanced reporting of toxicological exposures and development of a national quantitative disease surveillance system for companion animals. Data from poison control centers, such as the Animal Poison Control Center (APCC), may be useful for conducting real-time surveillance in this population. In this study, we explored the suitability of APCC call data for early warning of toxicological incidents in companion animal populations by using a-priori knowledge of the melamine-related nephrotoxicosis outbreak. Patient and household-level information regarding possible toxicological exposures in dogs and cats reported to the APCC from 2005 to 2007, inclusive, were extracted from the APCC's AnTox database. These data were used to examine the impact of surveillance outcome, statistical methodology, analysis level, and call source on the ability to detect the outbreak prior to the voluntary recall issued by the pet food manufacturer. Retrospective Poisson temporal scan tests were applied for each combination of outcome, method, level, and call source. The results showed that month-adjusted scans using syndromic data may have been able to help detect the outbreak up to two months prior to the voluntary recall although the success of these methods varied across call sources. We also demonstrated covariate month-adjustment can lead to vastly different results based on the surveillance outcome and call source to which it is applied. This illustrates care should be taken prior to arbitrarily selecting a surveillance outcome and statistical model for surveillance efforts and warns against ignoring the impacts of call source or key covariates when applying quantitative surveillance methods to APCC call data since these factors can lead to very different results. This study provides further evidence that APCC call data may be useful for conducting surveillance in the US companion animal population and further exploratory analyses and validation studies are warranted.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cat Diseases*
  • Cats
  • Dog Diseases* / chemically induced
  • Dog Diseases* / diagnostic imaging
  • Dog Diseases* / epidemiology
  • Dogs
  • Food Contamination
  • North America
  • Poison Control Centers
  • Retrospective Studies

Grants and funding

This research was supported by an infrastructure grant to Dr. David Pearl from the Canada Foundation for Innovation and the Ontario Research Fund, as well as a Discovery Grant from the National Sciences and Engineering Research Council. This research was also supported through personal funding to Alexandra Swirski through the Ontario Veterinary College and the Ontario Graduate Scholarship. These funding bodies were not involved in the design of the study, collection, analysis and interpretation of data or in writing the manuscript.