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

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....

Full description

Bibliographic Details
Main Authors: Tatum S. Katz, Dayna M. Harhay, John W. Schmidt, Tommy L. Wheeler
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2024.1307563/full
_version_ 1827353395446415360
author Tatum S. Katz
Dayna M. Harhay
John W. Schmidt
Tommy L. Wheeler
author_facet Tatum S. Katz
Dayna M. Harhay
John W. Schmidt
Tommy L. Wheeler
author_sort Tatum S. Katz
collection DOAJ
description 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.
first_indexed 2024-03-08T03:24:40Z
format Article
id doaj.art-a920085e144149f0b50f00594287d876
institution Directory Open Access Journal
issn 1664-302X
language English
last_indexed 2024-03-08T03:24:40Z
publishDate 2024-02-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Microbiology
spelling doaj.art-a920085e144149f0b50f00594287d8762024-02-12T04:43:19ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2024-02-011510.3389/fmicb.2024.13075631307563Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosisTatum S. KatzDayna M. HarhayJohn W. SchmidtTommy L. WheelerThere 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.https://www.frontiersin.org/articles/10.3389/fmicb.2024.1307563/fullnon-typhoidal salmonellosisSalmonella entericaserotypesmachine learningpublic healthepidemiology
spellingShingle Tatum S. Katz
Dayna M. Harhay
John W. Schmidt
Tommy L. Wheeler
Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis
Frontiers in Microbiology
non-typhoidal salmonellosis
Salmonella enterica
serotypes
machine learning
public health
epidemiology
title Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis
title_full Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis
title_fullStr Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis
title_full_unstemmed Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis
title_short Identifying a list of Salmonella serotypes of concern to target for reducing risk of salmonellosis
title_sort identifying a list of salmonella serotypes of concern to target for reducing risk of salmonellosis
topic non-typhoidal salmonellosis
Salmonella enterica
serotypes
machine learning
public health
epidemiology
url https://www.frontiersin.org/articles/10.3389/fmicb.2024.1307563/full
work_keys_str_mv AT tatumskatz identifyingalistofsalmonellaserotypesofconcerntotargetforreducingriskofsalmonellosis
AT daynamharhay identifyingalistofsalmonellaserotypesofconcerntotargetforreducingriskofsalmonellosis
AT johnwschmidt identifyingalistofsalmonellaserotypesofconcerntotargetforreducingriskofsalmonellosis
AT tommylwheeler identifyingalistofsalmonellaserotypesofconcerntotargetforreducingriskofsalmonellosis