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. 2024 Feb 12:15:1307563.
doi: 10.3389/fmicb.2024.1307563. eCollection 2024.

Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis

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Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis

Tatum S Katz et al. Front Microbiol. .

Abstract

There is an increasing awareness in the field of Salmonella epidemiology that focusing control efforts on those serotypes which cause severe human health outcomes, as opposed to broadly targeting all Salmonella, will likely lead to the greatest advances in decreasing the incidence of salmonellosis. Yet, little guidance exists to support validated, scientific selection of target serotypes. The goal of this perspective is to develop an approach to identifying serotypes of greater concern and present a case study using meat- and poultry-attributed outbreaks to examine challenges in developing a standardized framework for defining target serotypes.

Keywords: Salmonella enterica; epidemiology; machine learning; non-typhoidal salmonellosis; public health; serotypes.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Serotypes identified as of concern using the machine learning and outlier approach for beef, chicken, pork, and turkey.

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