Literature DB >> 29638165

Intensified Sampling in Response to a Salmonella Heidelberg Outbreak Associated with Multiple Establishments Within a Single Poultry Corporation.

Alice Green1,2,3,4,5, Stephanie Defibaugh-Chavez1,2,3,4,5, Aphrodite Douris1,2,3,4,5, Danah Vetter1,2,3,4,5, Richard Atkinson6,7, Bonnie Kissler1,2,3,4,5, Allison Khroustalev8, Kis Robertson1,2,3,4,5, Yudhbir Sharma6,7, Karen Becker1,2,3,4,5, Uday Dessai1,2,3,4,5, Nisha Antoine9, Latasha Allen10, Kristin Holt1,2,3,4,5, Laura Gieraltowski11, Matthew Wise11, Colin Schwensohn11.   

Abstract

On June 28, 2013, the Food Safety and Inspection Service (FSIS) was notified by the Centers for Disease Control and Prevention (CDC) of an investigation of a multistate cluster of illnesses of Salmonella enterica serovar Heidelberg. Since case-patients in the cluster reported consumption of a variety of chicken products, FSIS used a simple likelihood-based approach using traceback information to focus on intensified sampling efforts. This article describes the multiphased product sampling approach taken by FSIS when epidemiologic evidence implicated chicken products from multiple establishments operating under one corporation. The objectives of sampling were to (1) assess process control of chicken slaughter and further processing and (2) determine whether outbreak strains were present in products from these implicated establishments. As part of the sample collection process, data collected by FSIS personnel to characterize product included category (whole chicken and type of chicken parts), brand, organic or conventional product, injection with salt solutions or flavorings, and whether product was skinless or skin-on. From the period September 9, 2013, through October 31, 2014, 3164 samples were taken as part of this effort. Salmonella percent positive declined from 19.7% to 5.3% during this timeframe as a result of regulatory and company efforts. The results of intensified sampling for this outbreak investigation informed an FSIS regulatory response and corrective actions taken by the implicated establishments. The company noted that a multihurdle approach to reduce Salmonella in products was taken, including on-farm efforts such as environmental testing, depopulation of affected flocks, disinfection of affected houses, vaccination, and use of various interventions within the establishments over the course of several months.

Entities:  

Keywords:  Salmonella; antimicrobial resistance in bacteria of animal origin; food safety; foodborne disease; poultry

Mesh:

Substances:

Year:  2018        PMID: 29638165      PMCID: PMC5865244          DOI: 10.1089/fpd.2017.2340

Source DB:  PubMed          Journal:  Foodborne Pathog Dis        ISSN: 1535-3141            Impact factor:   3.171


Introduction

In the United States, the average consumer eats 56 pounds of boneless chicken annually (United States Department of Agriculture, Economic Research Service, 2014). Poultry-related salmonellosis is ranked as the fourth most common pathogen–food combination associated with U.S. foodborne illness, accounting for 215,109 illnesses, 4048 hospitalizations, and 79 deaths annually at an estimated cost of $693 million (Batz et al., 2012). Ten percent of human salmonellosis has been attributed to chicken (Interagency Food Safety Analytics Collaboration (IFSAC) Project, 2015). Salmonella Heidelberg is among the top 10 serotypes of Salmonella associated with human illnesses (Centers for Disease Control and Prevention, 2013). In addition, it is one of the most invasive serotypes, with an estimated 13% of cases developing systemic infection (Jones et al., 2008). The U.S. Department of Agriculture, Food Safety and Inspection Service (FSIS) coordinates with the U.S. Centers for Disease Control and Prevention (CDC) and state and local public health partners as described in FSIS Directive 8080.3 (FSIS, 2013a) to investigate illness clusters potentially linked to meat, poultry, or processed egg products. A crucial part of these investigations is the administration of enteric illness questionnaires to case-patients by state and local public health officials. In the hypothesis-generation phase of an investigation, questionnaires capture a variety of exposures that occurred before illness onset. Once a food source is identified, a focused questionnaire may be used to obtain detailed information on consumption of products of interest, such as brand name and place and date of purchase. Regulatory action in response to foodborne illnesses typically requires a combination of epidemiological, microbiological, and product traceback evidence sufficient to implicate a specific food and production establishment. On June 28, 2013, FSIS was notified by CDC of a multistate cluster of illnesses of Salmonella Heidelberg with a rare pulsed-field gel electrophoresis (PFGE) pattern and a high proportion of ill persons reporting chicken consumption before illness onset (Gieraltowski et al., 2016). CDC later added six additional Salmonella Heidelberg PFGE patterns into the case definition for this investigation, one of the largest U.S. foodborne illness investigations of 2013. This article describes the sampling approach taken by FSIS when epidemiologic evidence implicated chicken products from multiple establishments operating under one corporation. The objectives of sampling were to (1) assess process control of chicken slaughter and further processing (FSIS, 2013c) and (2) determine whether outbreak strains were present in products from implicated establishments.

Materials and Methods

Selection of establishments for intensified sampling

FSIS worked with public health officials to request shopper card numbers for case-patients in the outbreak to obtain shopper histories and pursue traceback to producing establishments. Traceback was focused on chicken that was purchased raw and cooked at home, based on food histories reported by case-patients during interviews. A likelihood-based approach using traceback information was used to identify establishments potentially associated with illness. This approach accounted for the number and types of chicken products case-patients reported consuming in the week before illness onset, including establishments determined from case-patient food history and traceback. Rankings were used to prioritize establishments for intensified sampling of raw chicken products available for consumers to purchase. Using this approach, four establishments under the same corporate entity (“Company X”) were selected for initial intensified sampling of chicken parts and whole chickens, focusing on the raw chicken products most frequently mentioned during case-patient interviews. Later in the investigation, additional establishments from the same corporation were included in sampling to rule out their involvement in the ongoing outbreak. As part of the sample collection process, data collected by FSIS personnel included category (whole chicken and type of chicken parts), brand, injection with salt solutions or flavorings, and whether product was skinless or skin-on. Analyses were performed using SAS software version 9.4 (SAS Institute, Cary, NC). Odds ratios and confidence intervals for variables of interest (conventional versus organic, corporate versus retail label, skin-on versus skinless, and injected versus noninjected product) were calculated by chi-square tests of independence and proc logistic maximum likelihood estimates. The intensified sampling for this investigation was performed in phases, where the frequency, types of samples, and/or the establishments that were sampled during each time period were informed by ongoing findings from the investigation.

Sample collection methods and frequency

The sampling program was divided into six phases (Table 1). FSIS inspection personnel collected samples on up to 5 production days each week. Eligible raw chicken products included whole chicken, tenderloins or strips, and various parts (breasts, thighs, or drumsticks). Similar to the FSIS 2012 Raw Chicken Parts Baseline Study (FSIS, 2012), a minimum of 4 pounds of selected product was collected in final packaging when available. To more closely replicate potential consumer Salmonella exposures, the products were shipped to one of the FSIS Field Service Laboratories (Eastern Laboratory, Athens, GA; Midwestern Laboratory, St. Louis, MO; or Western Laboratory, Alameda, CA) where samples were rinsed in accordance with FSIS chicken carcass or chicken parts sampling procedures: 400 mL of buffered peptone water was used to rinse either a whole chicken carcass or 4 pounds of raw chicken parts. A 30 mL test portion of the rinsate was analyzed for Salmonella according to the FSIS Microbiology Laboratory Guidebook (MLG), Chapter 4 (FSIS, 2014b). Environmental swabbing was conducted for a brief period at selected establishments to assess the effectiveness of sanitation measures between production days. During this same time period, due to ongoing illnesses and hypotheses regarding exposure from handling of retail-ready raw product packages, exterior packaging from a subset of the products was swabbed using a method similar to food-contact surface samples, as per FSIS Directive 10,300.1 (FSIS, 2013c) Section VII, A, 12, and tested for the presence of Salmonella before the parts being rinsed for analysis.
1.

Sampling Plan by Phase and Establishment

Date rangeEstablishment(s)Chicken product types sampled (total/day)Other sample types collected (total/day)
Phase I: 9/9/13–9/27/13 (3 weeks)A, B, C, DChicken parts (5/day), whole/rotisserie chicken (3/day), chicken tenderloins/strips (2/day)None
Phase II: 10/15/13–12/13/13 (9 weeks)A, B, C, E, FChicken parts (4/day), whole/rotisserie chicken (2/day), chicken tenderloins/strips (1/day)None
Phase III: 12/16/13–1/13/14 (4 weeks)A, B, CChicken parts (3/day), whole/rotisserie chicken (1/day), chicken tenderloins/strips (1/day)Preoperational environmental samples (4/day); Product surface swab (1/day)
Phase IV: 1/14/14–2/7/2014 (7 weeks)A, B, CChicken parts (3/day), whole/rotisserie chicken (1/day), chicken tenderloins/strips (1/day)None
Phase V: 3/3/14–8/8/14 (23 weeks)A, B, CChicken parts (1/day)None
Phase VI: 8/11/14–10/31/2014 (12 weeks)CChicken parts (1/day)None

For establishments that did not produce tenderloins and those that did not produce whole carcasses, chicken parts were substituted.

Sampling Plan by Phase and Establishment For establishments that did not produce tenderloins and those that did not produce whole carcasses, chicken parts were substituted. Salmonella isolates were further characterized by the FSIS Eastern Laboratory using PFGE (Centers for Disease Control and Prevention, 2015), molecular serotyping (FSIS MLG 4 Appendix 1.03), and antimicrobial susceptibility testing (AST) following National Antimicrobial Resistance Monitoring System (NARMS) protocols (Food and Drug Administration, 2015). When intensified sampling first began, the Salmonella serogroup was determined for three isolates selected from each sample. All serogroup B isolates were further characterized by molecular serotyping, PFGE, and AST. When more than one serogroup was identified in one sample, all serogroup B isolates were further characterized as described, and one isolate from each of the other identified serogroups was further characterized. Due to the detection of a high number of outbreak strains, after the first 3 weeks of sampling, only a single confirmed Salmonella isolate from each sample was further characterized. When there were multiple isolates from the same sample with the same serotype and PFGE pattern, the isolate with resistance to the greatest number of antimicrobial classes was reported.

Results

By late August 2013, chicken consumed by multiple case-patients in the outbreak was primarily traced back to three establishments from the same corporation. Product sharing among the three establishments was complex, including commingling of parts from different lots of chicken. A diversity of products and production dates was identified through traceback efforts. On September 9, 2013, FSIS initiated intensified sampling in response to the ongoing outbreak of Salmonella Heidelberg associated with raw chicken products. After the first phase of intensified sampling, FSIS identified three establishments within the corporate umbrella that were implicated in the ongoing outbreak. A Public Health Alert and Notice of Intended Enforcement action were issued by FSIS on October 7, 2013 (FSIS, 2013b). In total, 3164 product and environmental samples were analyzed from six different establishments, which were all part of the same corporation. Of these, 2737 samples were taken at three California establishments implicated in the outbreak, including 163 environmental samples and 90 external package swab samples. Another 427 samples were taken at three establishments in Washington and Louisiana. Across all phases of sampling, 334 samples were positive for Salmonella, and 361 Salmonella isolates were found in those positive samples. Thirteen different serotypes were identified. Although there was some diversity in serotypes of Salmonella seen during the testing, 263 (72.9%) of the isolates were Salmonella Heidelberg (Table 2). The second most frequently detected serotype was Salmonella Montevideo (12.2%), followed by Salmonella Enteritidis (4.2%). All Salmonella isolates were analyzed for antimicrobial resistance (AMR), 26.9% were pansusceptible and 48.2% were resistant to three or more Clinical and Laboratory Standards Institute classes of antibiotic compounds (Food and Drug Administration, 2015). As noted, Salmonella Heidelberg was the predominant serotype found during intensified sampling from these establishments. In contrast, Salmonella Kentucky is the most common serotype isolated from routine FSIS chicken carcass verification testing, at 61% (n = 197/325) of positive samples and ∼2% (n = 197/8816) of all samples analyzed during 2014 (FSIS, 2015a). In 2014, Salmonella Heidelberg was the fifth most common serotype identified in routine FSIS chicken carcass verification testing, at about 3% (n = 11/325) of positive samples and about 0.1% (n = 11/8816) of all samples analyzed.
2.

Salmonella SerotypeNumber of isolates (% of total isolates)Number of pansusceptible isolates (% of serotype total)Number of isolates with resistance ≥3 CLSI classes (% of serotype total)
Salmonella Braenderup5 (1.4)5 (100)0
Salmonella Enteritidis15 (4.2)14 (93.3)0
Salmonella Hadar3 (0.8)0 (0.0)0
Salmonella Heidelberg263 (72.9)22 (8.4)169 (64.3)
Salmonella Infantis1 (0.2)1 (100.0)0
Salmonella Kentucky3 (0.8)0 (0.0)1 (33.3)
Salmonella Montevideo44 (12.2)42 (95.4)1 (2.3)
Salmonella Ohio3 (0.8)2 (66.6)0
Salmonella Oranienburg1 (0.2)1 (100)0
Salmonella Schwarzengrund1 (0.2)00
Salmonella Senftenberg1 (0.2)1 (100)0
Salmonella Typhimurium9 (2.5)6 (66.6)0
S. I 4,[5],12:i:—12 (3.3)3 (25.0)3 (25.0)
Total361 (100.0)97 (26.9)174 (48.2)
From phases I through VI, the percentage of samples positive for Salmonella declined from 19.7% to 5.3% (Fig. 1). Intensified sampling identified four (JF6X01.0022, JF6X01.0041, JF6X01.0045, and JF6X01.0258) of the seven outbreak patterns at all three of the California establishments; an additional two (JF6X01.0122 and JF6X01.0326) outbreak patterns were found at two of the three facilities. Pattern JF6X01.0672, a rare PFGE pattern, has never been identified in any FSIS sampling program, including this intensified sampling. It was not until phase IV that the mean percentage of Salmonella isolates classified as outbreak strains began to decline (Table 3). During phase V, FSIS determined that a reduced frequency of testing was appropriate to supplement in-plant establishment testing data for continued evaluation of improvements at these establishments. For phase VI, FSIS discontinued intensified sampling at two of the three establishments because both FSIS and establishment sampling results indicated consistent control of Salmonella. On October 31, 2014, intensified sampling concluded at the last establishment, after analysis of both FSIS and establishment sampling data supported consistent control of Salmonella.

Frequency of Salmonella isolation during intensified testing, according to the phase and the analyzed establishment.

3.

Proportion of

EstablishmentABCDEFMean
Phase I, N (% outbreak strains)29/40 (72.5)22/38 (56.4)22/38 (57.9)1/2 (50.0)  74/118 (62.7)
Phase II, N (% outbreak strains)47/62 (75.8)40/61 (65.6)19/23 (82.6)   106/145 (72.6)
Phase III, N (% outbreak strains)15/16 (93.8)10/11 (90.9)8/8 (100.0)   33/35 (94.3)
Phase IV, N (% outbreak strains)8/10 (80)3/3 (100)9/10 (90)   20/23 (87.0)
Phase V, N (% outbreak strains)2/2 (100.0)2/4 (50.0)3/4 (75.0)   7/10 (70.0)
Phase VI, N (% outbreak strains)0/3 (0.0)   0/3 (0.0)
Total10177611  240/334 (71.9)
Frequency of Salmonella isolation during intensified testing, according to the phase and the analyzed establishment. Proportion of All the tested preoperational environmental samples (n = 163) or external product package swabs (n = 90) were negative for Salmonella (Table 4). The raw chicken contents of nine of the swabbed packages (10%) were positive for Salmonella, and all isolates were outbreak strains. Of 117 organic chicken products sampled at the California establishments, 30.8% were positive for Salmonella. Of 2367 conventional chicken products sampled at these establishments, 12.5% were positive for Salmonella. Organic chicken products were more likely to be positive for Salmonella (OR 3.1, 95% CI: 2.1–4.7), but were less likely to contain outbreak strains (OR 0.3, 95% CI: 0.1–0.5) or isolates exhibiting AMR (OR 0.1, 95% CI: 0.1–0.3) than were conventional chicken products. Chicken labeled with the primary corporate name had similar Salmonella percent positive (OR 0.9, 95% CI: 0.7–1.2) to retailer-labeled or other brands of chicken produced by Company X (OR 0.9, 95% CI: 0.7–1.2), but a higher percentage of outbreak strains (OR 1.8, 95% CI: 1.1–2.9) and AMR (OR 2.9, 95% CI: 1.7–4.9). Skin-on products were slightly less likely to be positive for Salmonella (OR 0.7, 95% CI: 0.6–0.9) than were skinless products, and had a similar likelihood of containing outbreak strains (OR 1.2, 95% CI: 0.7–1.9) and similar AMR (OR 1.1, 95% CI: 0.6–1.7). Injected products were similarly likely to be positive for Salmonella compared with noninjected products (OR 0.9, 95% CI: 0.6–1.2), with similar likelihood of containing outbreak strains (OR 1.1, 95% CI: 0.6–2.2) and similar levels of AMR (OR 2.0, 95% CI: 0.9–4.4). Notably, there was no fluoroquinolone resistance identified in Salmonella isolates recovered during intensified testing. A single isolate from an organic chicken product sample exhibited resistance to ceftiofur and cefoxitin (third-generation cephalosporins); however, this isolate was not an outbreak strain. Overall resistance to aminoglycosides, beta-lactams, sulfonamides, and tetracycline was commonly identified, with resistance to chloramphenicol less commonly detected.
4.

Limited Descriptive Findings for Chicken Products from California Establishments During Intensified Testing, Including Percent of Samples Positive for

Product classSalmonella positive/total analyzed (%)Odds ratio, 95% CI for Salmonella percent positiveNo. of outbreak strains (% total Salmonella isolates)Odds ratio, 95% CI for percent outbreak strainsNo. of pan-susceptible isolates (% total Salmonella isolates)No. of isolates with resistance ≥3 CLSI classes (% total Salmonella isolates)
Organic36/117 (30.8)3.1, 2.1–4.716/36 (44.4)0.3, 0.1–0.525/36 (69.4)5/36 (13.9)
Conventional (nonorganic)296/2367 (12.5) 223/296 (75.3) 62/296 (20.9)159/296 (53.7)
Environmental samples0/163 (0.0)  
Package swab samples0/90 (0.0)     
Sold under Company A brand label170/1395 (12.2)0.9, 0.7–1.2132/170 (77.6)1.8, 1.1–2.928/170 (16.5)94/170 (55.3)
Sold under other retail or brand label162/1252 (12.9) 107/162 (66.0) 59/162 (36.4)70/162 (43.2)
Skin-on product[a]194/1735 (11.2)0.7, 0.6–0.9142/194 (73.2)1.2, 0.7–1.950/194 (25.8)99/194 (51.0)
No skin[a]138/909 (15.2) 97/138 (70.3) 37/138 (26.8)65/138 (47.1)
Injected product (conventional only)[a]49/428 (11.4)0.9, 0.6–1.236/49 (73.5)1.1, 0.6–2.28/49 (16.3)32/49 (65.3)
Non-injected product (conventional only)[a]283/2216 (12.8) 203/283 (71.7) 79/283 (27.9)132/283 (46.6)

Data on skin and flavor injection not collected for three samples.

Limited Descriptive Findings for Chicken Products from California Establishments During Intensified Testing, Including Percent of Samples Positive for Data on skin and flavor injection not collected for three samples. As a result of additional analysis performed during phase I, 24 samples were found to contain isolates with up to three different serotypes, PFGE patterns, and/or AMR profiles. Of these, 10 samples yielded one outbreak strain and one non-outbreak strain, 2 samples yielded two outbreak strains, and 1 sample yielded two outbreak strains and one non-outbreak strain.

Discussion

In this investigation, traceback evidence implicated multiple brands and different types of chicken products, as well as multiple establishments across a broad range of production dates. The intensified sampling approach provided evidence linking multiple establishments operated by a single corporation to a large multistate Salmonella Heidelberg outbreak. The high percentage of Salmonella-positive samples in chicken carcass and chicken parts in phase I was critical in prompting regulatory actions, including a public health alert (PHA) and notice of intended enforcement (NOIE). These findings also prompted the company's response that led to improved control of Salmonella at each of the implicated establishments, as well as an end to illnesses associated with this outbreak investigation. In July 2014, in response to the detection of an outbreak strain in a leftover product from a case-patient's household that was indistinguishable from the case-patient's outbreak strain, the implicated company conducted a voluntary product recall of an unspecified quantity of fresh and frozen raw chicken products (FSIS, 2014a). The epidemiologic and traceback portions of a large outbreak investigation are resource intensive and are constrained by somewhat limited data (Scallan et al., 2011). These limitations, combined with potential delays in reporting and cluster identification, as well as resource limitations at the local, state, and Federal levels, make all multistate foodborne outbreak investigations a challenge. Chicken-related Salmonella investigations pose additional challenges for a number of reasons. An estimated 64.9% of the population reports having consumed chicken prepared at home within the prior week (Foodborne Diseases Active Surveillance Network (FoodNet), 2007); therefore, detecting a significant increase in product consumption exposure within the population of ill case-patients, within the early stages of an outbreak might be difficult. In addition, consumers often purchase and consume multiple brands of chicken, adding to the challenge of case-patient recall and traceback. Another challenge to narrowing the focus on specific brands of poultry is posed by the fact that large corporations may produce multiple brands and some of their products are sold with retailer-specific brand names. The finding of outbreak strains in chicken with non-Brand X labels that were produced by Company X likely contributed to the complexity of this investigation. Early traceback efforts can be helpful in identifying a common source of contamination when different brand names are associated with one product (Smith et al., 2015). Intensified sampling efforts may also assist in addressing questions regarding common sources of contamination, as with this investigation. In addition, during current outbreak investigations, whole genome sequencing is being utilized when available to narrow sources of poultry-associated illnesses (Crowe et al., 2017). FSIS does not typically consider Salmonella an adulterant in raw poultry products; however, if these products are determined to be injurious to human health, such as in association with an illness outbreak, FSIS may consider the products adulterated. During this outbreak, a recall was initiated when leftover product with identifying package information was tested and found to contain an outbreak strain indistinguishable from that of the case-patient who consumed it in the week before illness onset. As documented in phase I of FSIS intensified sampling, a package of raw chicken purchased by a consumer may carry more than one strain of Salmonella. Due to standard protocols and added costs, routine clinical and food testing do not typically involve recovery of multiple isolates from samples; so matching leftover product isolates with case-patient isolates can present a challenge. There is some evidence that multidrug-resistant strains of Salmonella may be associated with increased virulence (Varma et al., 2005; Gebreyes et al., 2009; Gokulan et al., 2013), and the 38% hospitalization rate for this outbreak was high compared to the typical hospitalization rate for all Salmonella (22%) (Jones et al., 2008). A comparison of Salmonella percent positive on organic versus conventionally produced chicken indicates that although there was less AMR found in isolates recovered from organically produced chicken products, these samples had a higher Salmonella percent positive overall. It should be noted that specific production practices such as organic production were not used as selection criteria when samples were collected. The results of organic versus conventional livestock production are an area of ongoing and important research interest. Although both FSIS and company analysis demonstrated a steady decline in Salmonella percent positive on tested chicken as improvements to the food safety systems in these establishments continued, an observed increase in percentage of outbreak strains identified during phases II through IV may help explain the extended duration of this outbreak. The lack of Salmonella in preoperational environmental samples suggests that a cleanup between production days was sufficient to prevent cross-contamination from day-to-day operations. However, it is possible that biofilm formation on equipment surfaces or practices of comingling processed parts during production may have played a role in cross-contamination throughout individual production days (Wang et al., 2013; De Oliveira et al., 2014). The company's stated goal in response to regulatory action was to produce chicken parts with less than 5% of samples positive for Salmonella. This goal was less than the national industry prevalence for these product types (26%), which was the basis FSIS used for evaluating process control for chicken parts in these establishments (FSIS, 2012). The company noted that a multihurdle approach to reduce Salmonella in products was taken, including on-farm efforts such as environmental testing, depopulation of affected flocks, disinfection of affected houses, vaccination, and use of various interventions within the establishments over the course of several months. The actions taken by FSIS during and after this outbreak will help reduce the Salmonella burden across the poultry industry. In January 2015, FSIS published a Federal Register Notice (FRN) proposing new pathogen reduction performance standards for Salmonella and Campylobacter in raw chicken parts and comminuted chicken and turkey products (FSIS, 2015b). The FRN also announced FSIS' intent to use routine sampling throughout the year at all eligible establishments rather than infrequently sampling a subset of eligible establishments on consecutive days for a discrete sample set to assess whether establishments' processes are effectively addressing Salmonella on poultry carcasses, chicken parts, and comminuted chicken and turkey products. In February 2016, FSIS published final performance standards for these products. FSIS is committed to encouraging reduction of Salmonella and Campylobacter in poultry products with the goal of foodborne illness prevention.
  10 in total

1.  Occurrence of spvA virulence gene and clinical significance for multidrug-resistant Salmonella strains.

Authors:  Wondwossen A Gebreyes; Siddhartha Thakur; Paul Dorr; Daniel A Tadesse; Karen Post; Leslie Wolf
Journal:  J Clin Microbiol       Date:  2008-12-30       Impact factor: 5.948

2.  Biofilm formation of Salmonella serotypes in simulated meat processing environments and its relationship to cell characteristics.

Authors:  Huhu Wang; Shijie Ding; Yang Dong; Keping Ye; Xinglian Xu; Guanghong Zhou
Journal:  J Food Prot       Date:  2013-10       Impact factor: 2.077

3.  Ranking the disease burden of 14 pathogens in food sources in the United States using attribution data from outbreak investigations and expert elicitation.

Authors:  Michael B Batz; Sandra Hoffmann; J Glenn Morris
Journal:  J Food Prot       Date:  2012-07       Impact factor: 2.077

4.  Ability of Salmonella spp. to produce biofilm is dependent on temperature and surface material.

Authors:  Débora Cristina Vidal De Oliveira; Ary Fernandes Júnior; Ramon Kaneno; Márcia Guimarães Silva; João Pessoa Araújo Júnior; Nathalia Cristina Cirone Silva; Vera Lúcia Mores Rall
Journal:  Foodborne Pathog Dis       Date:  2014-04-10       Impact factor: 3.171

5.  Utility of Combining Whole Genome Sequencing with Traditional Investigational Methods To Solve Foodborne Outbreaks of Salmonella Infections Associated with Chicken: A New Tool for Tackling This Challenging Food Vehicle.

Authors:  Samuel J Crowe; Alice Green; Kimberly Hernandez; Vi Peralta; Lyndsay Bottichio; Stephanie Defibaugh-Chavez; Aphrodite Douris; Laura Gieraltowski; Kelley Hise; Karen La-Pham; Karen P Neil; Mustafa Simmons; Glenn Tillman; Beth Tolar; Darlene Wagner; Jamie Wasilenko; Kristin Holt; Eija Trees; Matthew E Wise
Journal:  J Food Prot       Date:  2017-04       Impact factor: 2.077

6.  Salmonellosis outcomes differ substantially by serotype.

Authors:  Timothy F Jones; L Amanda Ingram; Paul R Cieslak; Duc J Vugia; Melissa Tobin-D'Angelo; Sharon Hurd; Carlota Medus; Alicia Cronquist; Frederick J Angulo
Journal:  J Infect Dis       Date:  2008-07-01       Impact factor: 5.226

7.  Foodborne illness acquired in the United States--major pathogens.

Authors:  Elaine Scallan; Robert M Hoekstra; Frederick J Angulo; Robert V Tauxe; Marc-Alain Widdowson; Sharon L Roy; Jeffery L Jones; Patricia M Griffin
Journal:  Emerg Infect Dis       Date:  2011-01       Impact factor: 6.883

8.  Hospitalization and antimicrobial resistance in Salmonella outbreaks, 1984-2002.

Authors:  Jay K Varma; Katherine D Greene; Jessa Ovitt; Timothy J Barrett; Felicita Medalla; Frederick J Angulo
Journal:  Emerg Infect Dis       Date:  2005-06       Impact factor: 6.883

9.  National Outbreak of Multidrug Resistant Salmonella Heidelberg Infections Linked to a Single Poultry Company.

Authors:  Laura Gieraltowski; Jeffrey Higa; Vi Peralta; Alice Green; Colin Schwensohn; Hilary Rosen; Tanya Libby; Bonnie Kissler; Nicola Marsden-Haug; Hillary Booth; Akiko Kimura; Julian Grass; Amelia Bicknese; Beth Tolar; Stephanie Defibaugh-Chávez; Ian Williams; Matthew Wise
Journal:  PLoS One       Date:  2016-09-15       Impact factor: 3.240

10.  Impact of plasmids, including those encodingVirB4/D4 type IV secretion systems, on Salmonella enterica serovar Heidelberg virulence in macrophages and epithelial cells.

Authors:  Kuppan Gokulan; Sangeeta Khare; Anthony W Rooney; Jing Han; Aaron M Lynne; Steven L Foley
Journal:  PLoS One       Date:  2013-10-03       Impact factor: 3.240

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1.  Salmonella enterica subsp. enterica Serovar Heidelberg Food Isolates Associated with a Salmonellosis Outbreak Have Enhanced Stress Tolerance Capabilities.

Authors:  Andrea J Etter; Alyssa M West; John L Burnett; Sophie Tongyu Wu; Deklin R Veenhuizen; Raeya A Ogas; Haley F Oliver
Journal:  Appl Environ Microbiol       Date:  2019-08-01       Impact factor: 4.792

2.  Laboratory Review of Foodborne Disease Investigations in Washington State 2007-2017.

Authors:  Jennifer L Swoveland; Laurie K Stewart; Mary Kaye Eckmann; Raymond Gee; Krisandra J Allen; Calley M Vandegrift; Gina Olson; Mi-Gyeong Kang; Michael L Tran; Elizabeth Melius; Brian Hiatt; Romesh K Gautom; Ailyn C Perez-Osorio
Journal:  Foodborne Pathog Dis       Date:  2019-04-10       Impact factor: 3.171

Review 3.  Emergence, Dissemination and Antimicrobial Resistance of the Main Poultry-Associated Salmonella Serovars in Brazil.

Authors:  Diéssy Kipper; Andréa Karoline Mascitti; Silvia De Carli; Andressa Matos Carneiro; André Felipe Streck; André Salvador Kazantzi Fonseca; Nilo Ikuta; Vagner Ricardo Lunge
Journal:  Vet Sci       Date:  2022-08-03
  3 in total

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