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Salmonella enterica Serovar Infantis in Broiler Chickens: A Systematic Review and Meta-Analysis

Published: July 30, 2025
By: Alexandros Georganas, Giulia Graziosi, Elena Catelli and Caterina Lupini / Department of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell’Emilia, BO, Italy.
Summary

Salmonella enterica subsp. enterica serovar Infantis poses a growing threat to public health, due to its increasing prevalence worldwide and its association with high levels of antimicrobial resistance. Among livestock, S. Infantis is especially isolated from broilers. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a systematic review was conducted by searching in three databases (Web of Science, Scopus, and PubMed) for English-language studies (1957–2023) that reported the prevalence of S. Infantis in broiler farms. Eligible studies included epidemiological investigations conducted in broiler chickens by sampling the house environment (flock-level prevalence) or the birds (individual-level prevalence). A randomeffect model was applied to calculate S. Infantis pooled prevalence estimates with 95% confidence intervals (CIs). Furthermore, to assess between-study heterogeneity, the inconsistency index statistic (I2) was calculated. Among 537 studies retrieved, a total of 9 studies reporting flock-level prevalence of S. Infantis and 4 reporting individual-level prevalence were retained for analysis. The flock-level pooled prevalence was estimated to be 9% (95% CI: 1–26%) and a high between-study heterogeneity was found (I2 = 99%, p < 0.01). Concerning individual-level prevalence, a meta-analysis was not performed due to the scarcity of eligible studies. The data presented underscore the significant occurrence of S. Infantis in broilers at the farm level. By summarizing the existing literature, this work provides useful insights for conducting future surveys of Salmonella spp. in live broiler chickens as a preliminary step for developing more efficient control strategies.

Keywords: Salmonella Infantis; broiler; chicken; systematic review; meta-analysis; prevalence

1. Introduction

Salmonellosis is among the major causes of foodborne gastrointestinal infection in humans worldwide [1] and the second cause following campylobacteriosis in the European Union (EU) [2]. Particularly, non-typhoidal Salmonella spp. (NTS) are one of the bacterial pathogens with the highest disease burden among human foodborne enteric diseases [3]. Poultry products are considered as a major source of human infection in cases of foodborne salmonellosis caused by NTS [4]. In the US and Japan, approximately 70% of human cases of foodborne salmonellosis were attributable to consumption of contaminated chicken or turkey meat and egg products [5–8]. Among NTS, Salmonella enterica serovar Infantis was the fourth main cause of human salmonellosis in the EU in 2022 [9] and the sixth most common Salmonella serotype in the US in 2019 [10], with an outbreak of a persistent multidrug-resistant (MDR) S. Infantis strain, which occurred in 2018, being linked to raw chicken products [11]. For Europe, since 2014, S. Infantis has become the no. 1 serovar isolated in broilers and their meat [3], thus representing a potential route for human illness [3,12,13]. However, in the analysis of Powell and Williams [14], it was shown that there was a 4 yr lag between the increase in the incidence of human illness due to S. Infantis which started in 2011 and the increase in chicken carcass prevalence which started in 2015, suggesting that one or more other transmission route of human illness likely contributed to the increase in incidence of human illness due to S. Infantis in the United States (US). These transmission routes, other than consumption of chicken products, include non-chicken foodborne, waterborne, person-to-person, animal contact, and environmental routes [14]. Moreover, it has also been suggested that the strains containing the new megaplasmid termed ‘plasmid of emerging S. Infantis’ (pESI) that circulate in the poultry industry may have a selective disadvantage for causing infection in humans, thus resulting in less frequent observation of those strains [15].
The various traits of the emerging S. Infantis strains carrying the pESI megaplasmid, such as their persistence throughout the food chain, resistance to disinfectants, elevated tolerance to environmental mercury, augmented abilities to form biofilms, higher tolerance to thermal, acid, and osmotic stress, and, most importantly, the widespread presence of antimicrobial or MDR clones, pose challenges to mitigate these strains both in poultry farming and agriculture [3,16]. Following its first report in Israel [17], the megaplasmid pESI, which harbors blaCTX-M-65 and other antibiotic-resistant genes has been found in S. Infantis isolates from chicken, food, and human clinical cases in South America, North America, Europe, Africa, and Asia [18,19]. The blaCTX-M genes encode CTX-Ms, which are the most dominant extended-spectrum β-lactamase enzyme types that incapacitate β-lactam-type antibiotics [20]. A recent analysis of whole genome sequences of S. Infantis from 74 countries found that 73% of poultry isolates were MDR, with 71% carrying the pESI megaplasmid, compared to 35% of human isolates, with 32% carrying the pESI megaplasmid [15]. Evidence in a mouse model showed that after infection with S. Infantis, pESI can be horizontally transferred to the gut microbiota [21], which could result in the spread of multidrug resistance (resistance to ≥3 antimicrobial classes) and elevated virulence to other pathogens [22]. In addition to the increased frequency of isolation of MDR S. Infantis from human infections over the last decade [23], this evidence raises questions about its implications for public health, especially when the pESI megaplasmid is present; however, these remain unclear as the repercussions of infections in humans, such as the severity of infection and the implication of antimicrobial resistance, have yet to be explored [22]. Nevertheless, the pESI plasmid has been shown to be a major driver for antimicrobial resistance in the global S. Infantis population and high levels of multidrug resistance, with the highest level at 81% in South America, have been observed in many regions, thus suggesting a major threat to public health [15].
A large proportion of the global population consumes chicken meat and eggs to partially meet their protein needs [24]. Furthermore, demand for animal products is projected to increase and, to meet consumer demand, world meat production is forecasted to double at an amount of 455 million tons by 2050 [25]. In line with the above, globalization and a rise in international trade of foodstuffs such as poultry meat have contributed to the dispersion of new Salmonella serovars [26]. It is also probable that extreme weather events and climate change may increase the spread of Salmonella spp. due to the increased temperatures, which are favorable for their growth [27]. Moreover, extreme heat due to climate change may induce heat stress in poultry, a predisposing factor to infection by bacteria including Salmonella spp. [27]. Inappropriate adoption of good production practices, such as keeping a higher than recommended stocking density, can stress the poultry flocks, resulting in an elevated occurrence, persistence and spread of NTS [27–29]. The same applies to interventions such as thinning or partial depopulation, which is common practice in some production systems [30]. Thinning in conjunction to poor biosecurity practices, such as substandard cleaning and disinfection of protective personal equipment or crates when visiting more than one farm, can increase the risk of Salmonella spp. colonization due to passive transfer. Furthermore, thinning constitutes a stressor for birds due to feed withdrawal and distress during catching, leading to increased vulnerability to disease [31]. Altogether, these factors pose new challenges to salmonellosis control, and innovative intervention strategies are necessary to control S. Infantis in poultry flocks.
Due to the surge of S. Infantis serovar in broilers and the burden of chicken-origin S. Infantis infections in humans, the present work aims to summarize the evidence on S. Infantis occurrence in broiler chickens in farms on a global level by conducting a systematic review of the literature and meta-analysis of prevalence data. Data on the antimicrobial resistance of the S. Infantis strains isolated in the eligible studies are summarized. By doing so, the research is expected to tentatively give directions for future studies focusing on the epidemiology of S. Infantis at the farm level.

2. Materials and Methods

2.1. Study Design and Systematic Review Protocol

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) and the PRISMA 2020 Statement were used to search and identify the references [32] (Supplementary Material Table S1). The systematic review was registered in the International Prospective Register of Systematic Reviews (PROSPERO) under the number CRD42024533765. A literature search was conducted from 1 October 2023 to 10 December 2023. Three databases were accessed, namely PubMed (https: //pubmed.ncbi.nlm.nih.gov), Web of Science (https://apps.webofknowledge.com/), and Scopus (https://www.scopus.com/). The full search strategies including the search strings used in each database and the number of articles retrieved are included in Table 1. In the three databases queried, the Boolean operators ‘OR’ and ‘AND’ were used, and relevant MeSH terms were added in PubMed. Filters such as publication date, article type (e.g., research articles, reviews), or language were not applied in the literature search. The reference lists of eligible studies were also screened to find other relevant contributions.
Table 1. Search strategies for the literature research of studies on Salmonella Infantis in broilers retrieved from the PubMed, Scopus, and Web of Science databases (1957–2023).
Table 1. Search strategies for the literature research of studies on Salmonella Infantis in broilers retrieved from the PubMed, Scopus, and Web of Science databases (1957–2023).

2.2. Literature Research Strategy

The tool Rayyan was used [33] to identify duplicates and screen the articles. Titles and abstracts were screened by two independent investigators (A.G. and G.G.) based on predetermined inclusion and exclusion criteria (Supplementary Material Table S1). The articles were selected for full-text review if they investigated Salmonella spp. in broiler chickens, if they were in English and if they reported original data. Finally, the full text of the articles was downloaded and independently assessed for eligibility, data analysis and extraction by A.G. and G.G. In case of potential disagreements, a third experienced author in the avian pathology field (C.L.) was consulted. The articles would pass the screening after full-text review if the following criteria were met: (1) the full English text could be retrieved; (2) the scientific articles reported original data (no duplicated data); (3) the article reported isolation or detection of S. Infantis regardless of laboratory methods used; (4) samples were collected from individual broiler chickens (e.g., cloacal swabs, internal organs such as liver and spleen) or from broiler chicken houses (e.g., litter samples, dust, fecal or cecal droppings); (5) the prevalence of infection could be calculated given the available information found in the article; and (6) the country and location where the study took place were reported. The two outcomes of interest were individual-level prevalence from testing single birds and flock-level prevalence from testing samples collected in chicken houses. For flock-level prevalence, a flock positive to S. Infantis was considered positive if at least one sample was positive. In the present work, the following definition of flock is used: “A flock is defined as a group of chickens (. . .), belonging to the same herd, with the same sanitary and immune status, reared in the same room or barn, and having the following common characteristics: species, category (breeders, production), type (laying, broiler), stage of production (age), sanitary status” [34]. Studies were excluded if the samples originated from birds with suspected clinical salmonellosis and if fewer than 20 samples were collected.

2.3. Data Extraction and Management

From each eligible article, the following information was extracted and included in a data extraction sheet (Microsoft Excel 2016, version 2402), where available: reference ID (numbering each included reference), first author, year of publication, country, sampling period, sample type, total number of samples tested, total number of samples positive for S. Infantis, detection method(s), resistance of S. Infantis to antimicrobials, and methods for antimicrobial resistance diagnostics. Studies were also grouped into continents where the samples were collected to facilitate data analysis and reporting. If prevalence data of S. Infantis were reported as percentage, raw numbers were calculated by transforming the percentage to the closest integer, considering the total number of samples collected.

2.4. Study Risk of Bias and Quality Assessment

The quality assessment of eligible studies was conducted independently by A.G. and G.G. applying the Joanna Briggs Institute critical appraisal checklist for prevalence studies (https://jbi.global/critical-appraisal-tools (accessed on 26 November 2024)). The dataset presented in the current study was suitable for the assessment of the Joanna Briggs Institute tool, even though the checklist is intended for human studies [35].

2.5. Statistical Analysis

Extracted data from the eligible articles were analyzed using the R software (version 4.3.2., http://cran.r-project.org/) using the ‘meta’ package. Prevalence of S. Infantis in broiler chickens and its 95% confidence interval (CI) were calculated using a random-effects model following the double-arcsine transformation of data [36]. The description of the heterogeneity (or variability) is essential in a meta-analysis since the sampling methods and experimental methodologies of the primary studies assessed were not identical [37]. Therefore, to estimate the between-study heterogeneity, Cochran’s Q and the inconsistency index (I2) were used on the pooled estimates. The interpretation of the I2 statistic was as follows: small (< 25%); medium (25–50%); and large (> 75%) [38].

3. Results

3.1. Literature Searches

The PRISMA flowchart on the selection of the eligible studies is depicted in Figure 1. Following removal of the duplicate studies retrieved from the search of three databases (Table 1), 537 articles were assessed for title and abstract screening. Of these articles, 394 (73.4%) were deemed potentially relevant and the full text of which was sought for retrieval. Of those, the full text of 391 articles was available and was therefore assessed. Finally, 13 articles were considered eligible for inclusion following full-text review, which corresponded to 2.4% (13/537 articles) of the retrieved articles excluding the duplicate studies. Of the fourteen eligible studies, nine studies reported flock-level prevalence of S. Infantis in broiler chickens (Table 2) and four studies individual-level prevalence (Table 3). Due to the limited number of the latter studies, a meta-analysis was conducted only on the flock-level prevalence.
With respect to the eligible studies reporting flock-level prevalence of S. Infantis, most of these were conducted in Europe (n = 4), followed by North America (n = 2), South America (n = 1), Africa (n = 1), and Asia (n = 1). In total, 72,602 flocks of broiler chickens were tested (Table 2), of which 600 flocks were positive for S. Infantis. With respect to the type of sample submitted for microbiological investigation, the majority of the studies (6/9, 66.6%) analyzed litter samples, while the remaining three studies tested fecal or cecal droppings. In four/nine (44.4%) studies reporting flock prevalence, S. Infantis was the predominant serotype [39–42]. In the study of Long et al. [42], S. Infantis and S. Heidelberg were the most prevalent serotypes isolated from the same number of flocks (n. 16), but more isolates of the latter serotype were found (144 versus 66). In three/nine (33.3%) eligible studies, S. Infantis was the second dominant serotype [22,43,44]. In the study of El-Hage et al. [44], S. Infantis was the second most prevalent serotype, after S. Enteritidis. In two/nine (22.2%) eligible studies, carried out in Austria in the period 2005–2006 and in Poland in 2014–2016, S. Infantis was the fourth most dominant serovar isolated [45,46].
For individual-level prevalence, studies were concentrated in Asia (n = 3) and South America (n = 1). No studies reporting prevalence of S. Infantis in broiler chickens in Europe, North America and Africa were eligible from our criteria. Regarding the type of sample submitted for microbiological investigation, two/four (50%) analyzed feces collected from individual birds and two/four (50%) analyzed cloacal swabs. In the four eligible studies, S. Infantis was the predominant serotype [47–50].
Figure 1. PRISMA flowchart depicting identification, screening, and selection of eligible studies assessed in the systematic review, 1957–2023.
Figure 1. PRISMA flowchart depicting identification, screening, and selection of eligible studies assessed in the systematic review, 1957–2023.
Table 2. Summary of eligible observational studies reporting flock prevalence of Salmonella Infantis in broiler chickens included in the meta-analysis.
Table 3. Summary of eligible observational studies reporting individual-level prevalence of Salmonella Infantis in broiler chickens.

3.2. Antimicrobial Resistance Genes in S. Infantis Isolates

Antimicrobial resistance and multidrug resistance of S. Infantis isolates were reported in most of the eligible studies (8/13 studies), and the diagnostic methods used are reported in Table 4. In the study of Mughini-Gras et al. [22], all but one isolate carried a pESI megaplasmid and all isolates belonged to the same sequence type (ST) 32. High prevalence of five antibiotic resistance genes encoding resistance against four different classes of antibiotics, namely aminoglycosides (aadA1 and aph (3′ )-Ic), sulphonamide (sul1), tetracycline (tetA), and trimethoprim (drfA14), was found. Burnett et al. [40] reported MDR S. Infantis in Galapagos; the isolates belonged to ST32 and were closely related, following phylogenetic characterization, to S. Infantis isolated in the US and South America. Furthermore, all S. Infantis isolates possessed mutation D87Y in the gyrA gene conferring decreased susceptibility to ciprofloxacin. S. Infantis isolates possessing tetracycline (tetA), trimethoprim (dfrA14), and sulfonamide (sul1) resistance genes displayed the corresponding resistance phenotypes. Similarly, multiple aminoglycoside resistance genes, namely aph(4)-la, aadA1, aac(3)-IVa, and aph(30)-Ia, were detected in the S. Infantis genomes and corresponded to gentamicinresistant phenotypes. S. Infantis harbored the ESBL-producing blaCTX-M-65 gene in an IncFIB-like plasmid and was characterized by reduced fluoroquinolone susceptibility [40]. In the study of El Hage et al. [44], S. Infantis isolates showed high phenotypic resistance to tetracycline (99%) and streptomycin (88.2%), and, to a lesser extent, to trimethoprim (2.4%) and trimethoprim–sulfamethoxazole. Similarly, high antimicrobial phenotypic resistance rates (> 90% of isolates) against oxytetracycline and dihydrostreptomycin were observed among S. Infantis isolates in the study of Sasaki et al. [41]. Antimicrobial resistance was also found against ampicillin, trimethoprim, kanamycin, cefazolin and ceftiofur, while fewer isolates exerted resistance against nalidixic acid, bicozamycin and chloramphenicol [41]. In the study of Badouei et al. [48], most S. Infantis isolates exerted phenotypic multidrug resistance against amoxicillin/clavulanic acid, colistin, tetracyclines, nalidixic acid, furalozidone, lincospectin and nitrofurantoin, and, to a lesser extent, against aminoglycosides anamycin, neomycin and streptomycin, chloramphenicol, florfenicol, flumequine, ciprofloxacin, and cefazolin, with 12 resistance patterns. In the study of Cui et al. [50], resistance against nalidixic acid, ampicillin, doxycycline, cefazolin, gentamicin, chloramphenicol and trimethoprim/sulfamethoxazole was observed with six resistance patterns. Likewise, in the study of Ishihara et al. [49], high resistance rates (61.3%) to dihydrostreptomycin, kanamycin, oxytetracycline and trimethoprim were found in the S. Infantis isolates. In the study of Khan et al. [47], most isolates (85.7%) were MDR, and seven resistance patterns were found, with doxycycline–ceftriaxone–gentamicin–kanamycin–sulfamethoxazole being the predominant pattern. All (100.0%) isolates of S. Infantis were also resistant to doxycycline [45]. In the study of Long et al. [42], all S. Infantis isolates were susceptible to all antimicrobials tested (Table 4). Antimicrobial resistance was not investigated in the studies of Cargnel et al. [39], Witkowska et al. [46] and Poppe et al. [43], whereas in the study of Lassnig et al. [45], the investigation was not serovar-specific.
Table 4. Methods for the detection of antimicrobial resistance of S. Infantis employed in the eligible studies.
Table 4. Methods for the detection of antimicrobial resistance of S. Infantis employed in the eligible studies.

3.3. Quality Assessment

According to the quality assessment conducted on the Joanna Briggs Institute critical appraisal checklist for prevalence studies, all the contributions met the required standard.

3.4. Statistical Analysis

The pooled flock-level prevalence of S. Infantis in broilers was 9% (95% CI: 1–26%, I 2 = 99%) (Figure 2). Due to the limited number of studies retrieved from the literature, subgroup analyses based on geographic area or sample type were not conducted.
Figure 2. Forest plot of the random-effects meta-analysis of flock-level prevalence of Salmonella enterica Infantis. I2 (inverse variance index), τ2 = the between-study variance, χ2 and p-value of the Cochran’s Q test for heterogeneity [6,22,39–45].
Figure 2. Forest plot of the random-effects meta-analysis of flock-level prevalence of Salmonella enterica Infantis. I 2 (inverse variance index), τ 2 = the between-study variance, χ 2 and p-value of the Cochran’s Q test for heterogeneity [6,22,39–45].

4. Discussion

4.1. Summary of Evidence

To the best of our knowledge, this is the first meta-analysis on the prevalence of S. Infantis in broiler chickens sampled at the farm level. Despite the limited data retrieved from the literature, the present work underscores the relevance of S. Infantis in broiler farms; however, due to the wide 95% CI (1–26%), the pooled flock-level prevalence (9%) obtained in the meta-analysis should be interpreted with caution. Indeed, given the high degree of between-study heterogeneity, the pooled estimate needs to be considered together with its 95% CI.
Various reports have indicated the widespread surge of S. Infantis in the poultry sector, especially in broilers, thus possibly being a route for human infections [2,3,15]. From the literature search hereby conducted, a total of 13 articles concerning S. Infantis detection at the broiler farm level were deemed eligible. To interpret the low number of studies included, it is important to consider that the purpose of most of the studies investigating Salmonella spp. in broiler chickens was the analysis of antimicrobial resistance and seroprevalence of S. Infantis at the farm level, and many studies involved sampling activities performed at slaughterhouses or on retail meat, which have not been considered in the present study (Figure 1).
For the EU, only four studies were deemed eligible for the systematic review hereby presented, and S. Infantis was found to be the first to the fourth most frequently isolated Salmonella serovar in flocks [22,39,45,46]. With respect to surveillance data from Member States, S. Infantis was the main serovar isolated from broilers in 2022 [9]. Moreover, studies reporting data on broiler carcasses and meat performed in Italy, Belgium, Romania and The Netherlands found S. Infantis as the most common Salmonella serotype [22,55–59].
With respect to Asia, a total of three studies, two from Japan and one from Lebanon, were deemed eligible [41,44,49]. In Japan, the high flock and individual-level prevalence found in the two Japanese studies included in this review [41,49] is in line with results reporting S. Infantis as the predominant serovar isolated within a timeframe from 1998 to 2010 in broiler chickens sampled at the abattoir or in raw chicken parts [60,61]. More recently prevalence of S. Infantis in cecal samples of broiler chickens collected at a poultry processing plant was found at approximately 5% between 2009 and 2016 [62,63], with increased resistance against extended-spectrum cephalosporins mediated by extended-spectrum β-lactamases and AmpC β-lactamases [64]. In China, a study hereby included found that S. Infantis was the second most dominant serotype in adult broiler chickens [50], whereas heterogeneous results were reported at the slaughterhouse level, with other Salmonella serovars being more frequently isolated [65,66]. With respect to other countries in which no studies on S. Infantis prevalence at the farm level were available, this serovar was predominant in chicken carcasses from poultry processing plants as reported for Iran and South Korea [48,67–69].
Concerning Central and South America countries, namely Brazil, Ecuador, Colombia, Trinidad and Tobago and the Galapagos Islands, the predominance of S. Infantis serovar among Salmonella spp. is documented for both broilers either sampled at the farm level and at slaughterhouses [40,70–75]. High resistance rates to antibiotics of S. Infantis and isolation of MDR strains are frequently reported in broiler batches at abattoirs or in broiler litter samples [40,72,74,75].
With respect to North America, the only two studies deemed eligible confirmed the high frequency of S. Infantis isolation from litter samples in Canadian broiler houses [42,43]. All the studies retrieved for the US included sample types not eligible for the systematic review hereby proposed (e.g., broiler carcasses) or did not include any data on individualor flock-level prevalence of the S. Infantis serovar. Data from US processing plants on the overall Salmonella spp. incidence in broiler carcasses showed a decrease from 9 to 6.57% between 2016 and 2020 [76]. However, the rate of isolation of S. Infantis from raw poultry meat samples in the US, around the same time frame, has increased from 4–10% to over 30%, which is probably attributable to the presence of the pESI plasmid that can confer an increased resistance to Salmonella spp. isolated in intensive-farming environments [19,77,78]. Regional differences in Salmonella spp. prevalence in the US include higher proportions of S. Infantis and S. Typhimurium in broiler carcasses and intact parts from poultry processing facilities in the Atlantic region and higher proportions of serovar S. Schwarzengrund in the southeast [76]. One hypothesis of the emergence of S. Infantis in broilers is that climate or environmental conditions in the Atlantic may have promoted the presence of S. Infantis or suppressed other serotypes such as S. Kentucky. Another prevailing hypothesis is that the eradication of other serotypes such as S. Kentucky [76] or S. Enteritidis and S. Typhimurium, due to effective implementation of control programs such as vaccination of breeders and laying hens against these serovars, likely established an ecological niche favorable for the proliferation and spread of S. Infantis [16,79].
With respect to Africa, no studies reporting prevalence of S. Infantis in broiler chickens were eligible from our criteria. However, according to a systematic review and metanalysis of Thomas et al. [8], the most prevalent Salmonella serovars circulating in African poultry up to 2016 are S. Enteritidis (20.8%), S. Typhimurium (13.9%), and S. Typhi (7.8%).
Several risk factors can be identified for the introduction and persistence of S. Infantis in broiler farms. In a study conducted in The Netherlands, Mughini-Gras et al. [22] found that S. Infantis was isolated more often in flocks in which salinomycin was used and in flocks in which thinning was applied or litter quality was poor. It was also reported that employing external cleaning companies, incorporating wheat in diets, and vaccination against infectious bronchitis resulted in lower prevalence of S. Infantis [22]. Furthermore, whole genome sequencing analysis suggested that the introduction of MDR S. Infantis in different premises may be able to be spread by the movement of equipment or personnel [80]. Appropriate and strict biosecurity measures are the first line of defense, such as constructing the farm at a proper geographical location; appropriate design of the buildings and positioning of equipment; and well-developed operational protocols with a focus on potential sources of infection and the flow of people, materials, feed, eggs and flocks to and from the farm [31]. In the EU, inactivated vaccines for breeders and layers against S. Infantis are available commercially and recombinant vaccines are being developed [16]. In recent years, innovative strategies have also been developed to control S. Infantis, such as the use of bacteriophages as biosanitizers against persistent S. Infantis strains [16,81]; however, a limited number of studies have been conducted on the use of bacteriophages at the farm level, and concerns are expressed on such use, including the unknown effectiveness and potential genotoxicity [27]. However, it is argued that many prevention and control measures of Salmonella spp. in poultry feed cannot eliminate the pathogen due to the continual possibility of recontamination [82]. S. Infantis has been isolated from biscuit meal, minerals, wheat and soya [83]. Disinfecting feeder lines and external areas in addition to the broiler houses is essential to eliminate S. Infantis [80]. It is crucial to consider risk factors to combat Salmonella spp., given that Salmonella spp. contamination, including S. Infantis, which takes place in the early stages of the broiler supply chain, can be transmitted along the food chain [84,85]. In fact, inadequately cleaned and disinfected transport crates contaminated with Salmonella spp. may lead to cross-contamination at the slaughterhouse and back to the farm level [59]. Furthermore, insects such as Typhaea stercorea (Coleoptera: Mycetophagidae) can be carriers of S. Infantis in broiler houses [86].
Various factors can influence the survival and/or distribution of Salmonella spp. in broiler houses and need to be taken into consideration when designing surveillance or monitoring strategies. These include the season, weather (low rainfall and moderate temperatures), and the type of housing (cage or floor). Also, the sample type to be tested should be carefully chosen, since this could influence the results obtained. For this reason, a multi sample-type approach has high positive predictive value, even when the diagnostic test sensitivity and the environmental prevalence are low [87]. Further, completeness of data reported is encouraged for a comprehensive interpretation of results and for facilitating the direct comparability of the results between the studies. This includes reporting baseline characteristics of the flock (e.g., age, production type and stage) and, with respect to the microbiological investigations, the prevalence of each Salmonella serotype.

4.2. Limitations

Among the constraints identified regarding the present work, the scarcity of eligible studies that met our predetermined inclusion and exclusion criteria on the prevalence of S. Infantis in individual live broiler chickens sampled at the farm level was recognized as a limitation of the current systematic review and meta-analysis. Hence, the true geographic distribution and prevalence of S. Infantis in live broilers cannot be interpreted. We also suggest the existence of possible research which may not have been accessible through the search strategy adopted.
With respect to samples collected at the farm level, the weight of litter or fecal droppings was not always stated in the methods by the respective authors. Indeed, it has been shown that the weight of fecal samples might affect the prevalence estimates [88]. Furthermore, the ISO 6579 method for the detection of Salmonella spp. was employed in six/nine eligible studies included in the meta-analysis. Thus, some variation in the prevalence estimates may be explained by the different methods used among the studies. Regarding the test sensitivity and specificity of the methods, they were not corrected for the prevalence estimates; thus, the apparent prevalence may differ from the true prevalence and may be affected by the sampling and testing methodology [8]. In addition, as shown in Table 4, even though the methods to test antimicrobial resistance were consistent, there was variation in the antimicrobials tested and the guidelines used to interpret the results, that is, guidelines mainly from the European Committee on Antimicrobial Susceptibility Testing or the Clinical and Laboratory Standards Institute. Lastly, quantification of publication bias via statistical tests was not conducted due to the absence of specific tools applicable to studies on proportions [35,89,90].

5. Conclusions

Considering the emerging challenge of S. Infantis in the broiler sector and its relevance as a zoonotic bacterium, we considered it of high importance to summarize the up-to-date knowledge on its prevalence in broiler chickens at the farm level. By gathering the evidence from the literature, the results presented hereby could help to design future epidemiological surveys to detect S. Infantis in poultry, as a first step to enhance evidence-based control strategies of this serovar in the broiler industry. In this respect, consistent monitoring of S. Infantis and the potential antimicrobial resistance present, careful application of biosecurity measures, and the development and use of a universal vaccine against S. Infantis are essential to reduce its presence in broiler production.
   
This article was originally published in Animals 2024, 14, 3453. https://doi.org/10.3390/ ani14233453. This is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

1. WHO. Salmonella (Non-Typhoidal). Available online: https://www.who.int/news-room/fact-sheets/detail/salmonella-(nontyphoidal) (accessed on 7 November 2024).

2. EFSA; ECDC. The European Union One Health 2021 zoonoses report. EFSA J. 2022, 20, e07666. [CrossRef]

3. Alvarez, D.M.; Barrón-Montenegro, R.; Conejeros, J.; Rivera, D.; Undurraga, E.A.; Moreno-Switt, A.I. A review of the global emergence of multidrug-resistant Salmonella enterica subsp. enterica Serovar Infantis. Int. J. Food Microbiol. 2023, 403, 110297. [CrossRef] [PubMed]

4. Rostagno, M.H.; Wesley, I.V.; Trampel, D.W.; Hurd, H.S. Salmonella prevalence in market-age turkeys on-farm and at slaughter. Poult. Sci. 2006, 85, 1838–1842. [CrossRef]

5. Toyofuku, H.; Pires, S.M.; Hald, T. Salmonella source attribution in Japan by a microbiological subtyping approach. Ecohealth 2011, 7, S22–S23.

6. Guo, C.; Hoekstra, R.M.; Schroeder, C.M.; Pires, S.M.; Ong, K.L.; Hartnett, E.; Naugle, A.; Harman, J.; Bennett, P.; Cieslak, P.; et al. Application of Bayesian techniques to model the burden of human salmonellosis attributable to U.S. food commodities at the point of processing: Adaptation of a Danish model. Foodborne Pathog. Dis. 2011, 8, 509–516. [CrossRef]

7. Pires, S.M.; Vieira, A.R.; Hald, T.; Cole, D. Source attribution of human salmonellosis: An overview of methods and estimates. Foodborne Pathog. Dis. 2014, 11, 667–676. [CrossRef]

8. Thomas, K.M.; de Glanville, W.A.; Barker, G.C.; Benschop, J.; Buza, J.J.; Cleaveland, S.; Davis, M.A.; French, N.P.; Mmbaga, B.T.; Prinsen, G.; et al. Prevalence of Campylobacter and Salmonella in African food animals and meat: A systematic review and meta-analysis. Int. J. Food Microbiol. 2020, 315, 108382. [CrossRef]

9. EFSA; ECDC. The European Union One Health 2022 zoonoses report. EFSA J. 2023, 21, e8442. [CrossRef]

10. Tack, D.M.; Ray, L.; Griffin, P.M.; Cieslak, P.R.; Dunn, J.; Rissman, T.; Jervis, R.; Lathrop, S.; Muse, A.; Duwell, M.; et al. Preliminary incidence and trends of infections with pathogens transmitted commonly through food—Foodborne Diseases Active Surveillance Network, 10 U.S. sites, 2016–2019. Morb. Mortal. Wkly. Rep. 2020, 69, 509–514. [CrossRef] [PubMed]

11. USDA. Salmonella Infantis Outbreak Linked to Chicken Products. Available online: https://www.fsis.usda.gov/sites/default/ files/media_file/documents/FSIS-After-Action-Review-2018-11.pdf (accessed on 12 November 2024).

12. Alba, P.; Leekitcharoenphon, P.; Carfora, V.; Amoruso, R.; Cordaro, G.; Di Matteo, P.; Ianzano, A.; Iurescia, M.; Diaconu, E.L.; Pedersen, S.K.; et al. Molecular epidemiology of Salmonella Infantis in Europe: Insights into the success of the bacterial host and its parasitic pESI-like megaplasmid. Microb. Genom. 2020, 6, e000365. [CrossRef]

13. Hindermann, D.; Gopinath, G.; Chase, H.; Negrete, F.; Althaus, D.; Zurfluh, K.; Tall, B.D.; Stephan, R.; Nüesch-Inderbinen, M. Salmonella enterica serovar Infantis from food and human infections, Switzerland, 2010–2015: Poultry-related multidrug resistant clones and an emerging ESBL producing clonal lineage. Front. Microbiol. 2017, 8, 1322. [CrossRef]

14. Powell, M.R.; Williams, M.S. Trends in Salmonella Infantis human illness incidence and chicken carcass prevalence in the United States; 1996–2019. Risk Anal. 2024, 44, 2396–2402. [CrossRef] [PubMed]

15. Mattock, J.; Chattaway, M.A.; Hartman, H.; Dallman, T.J.; Smith, A.M.; Keddy, K.; Petrovska, L.; Manners, E.J.; Duze, S.T.; Smouse, S.; et al. A One Health Perspective on Salmonella enterica Serovar Infantis, an emerging human multidrug-resistant pathogen. Emerg. Infect. Dis. 2024, 30, 701–710. [CrossRef]

16. Montoro-Dasi, L.; Lorenzo-Rebenaque, L.; Marco-Fuertes, A.; Vega, S.; Marin, C. Holistic strategies to control Salmonella Infantis: An emerging challenge in the European broiler sector. Microorganisms 2023, 11, 1765. [CrossRef] [PubMed]

17. Aviv, G.; Tsyba, K.; Steck, N.; Salmon-Divon, M.; Cornelius, A.; Rahav, G.; Grassl, G.A.; Gal-Mor, O. A unique megaplasmid contributes to stress tolerance and pathogenicity of an emergent Salmonella enterica serovar Infantis strain. Environ. Microbiol. 2014, 16, 977–994. [CrossRef] [PubMed]

18. Egorova, A.; Mikhaylova, Y.; Saenko, S.; Tyumentseva, M.; Tyumentsev, A.; Karbyshev, K.; Chernyshkov, A.; Manzeniuk, I.; Akimkin, V.; Shelenkov, A. Comparative whole-genome analysis of Russian foodborne multidrug-resistant Salmonella Infantis isolates. Microorganisms 2022, 10, 89. [CrossRef]

19. McMillan, E.A.; Weinroth, M.D.; Frye, J.G. Increased prevalence of Salmonella Infantis isolated from raw chicken and turkey products in the United States is due to a single clonal lineage carrying the pESI plasmid. Microorganisms 2022, 10, 1478. [CrossRef] [PubMed]

20. Negeri, A.A.; Mamo, H.; Gahlot, D.K.; Gurung, J.M.; Seyoum, E.T.; Francis, M.S. Characterization of plasmids carrying blaCTX-M genes among extra-intestinal Escherichia coli clinical isolates in Ethiopia. Sci. Rep. 2023, 13, 8595. [CrossRef]

21. Aviv, G.; Rahav, G.; Gal-Mor, O. Horizontal Transfer of the Salmonella enterica Serovar Infantis resistance and virulence plasmid pESI to the gut microbiota of warm-blooded hosts. mBio 2016, 7, 10–1128. [CrossRef] [PubMed]

22. Mughini-Gras, L.; van Hoek, A.; Cuperus, T.; Dam-Deisz, C.; van Overbeek, W.; van den Beld, M.; Wit, B.; Rapallini, M.; Wullings, B.; Franz, E.; et al. Prevalence, risk factors and genetic traits of Salmonella Infantis in Dutch broiler flocks. Vet. Microbiol. 2021, 258, 109120. [CrossRef]

23. Bearson, S.M.D.; Monson, M.S.; Bearson, B.L.; Whelan, S.J.; Byrd, J.A.; Burciaga, S. Commercial vaccine provides cross-protection by reducing colonization of Salmonella enterica serovars Infantis and Hadar in turkeys. Vaccine 2024, 42, 727–731. [CrossRef]

24. Truong, L.; Morash, D.; Liu, Y.; King, A. Food waste in animal feed with a focus on use for broilers. Int. J. Recycl. Org. Waste Agricult. 2019, 8, 417–429. [CrossRef]

25. Alexandratos, N.; Bruinsma, J. World Agriculture Towards 2030/2050: The 2012 Revision; Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA): Rome, Italy, 2012.

26. Agbaje, M.; Begum, R.H.; Oyekunle, M.A.; Ojo, O.E.; Adenubi, O.T. Evolution of Salmonella nomenclature: A critical note. Folia Microbiol. 2011, 56, 497–503. [CrossRef]

27. FAO; WHO. Measures for the Control of Non-Typhoidal Salmonella spp. In Poultry Meat—Meeting Report; Microbiological Risk Assessment Series, No. 45; Food and Agriculture Organization: Rome, Italy, 2023.

28. Kloska, F.; Casteel, M.; Kump, F.W.-S.; Klein, G. Implementation of a risk-orientated hygiene analysis for the control of Salmonella JAVA in the broiler production. Curr. Microbiol. 2017, 74, 356–364. [CrossRef]

29. Koutsoumanis, K.; Allende, A.; Alvarez-Ordóñez, A.; Bolton, D.; Bover-Cid, S.; Chemaly, M.; Cesare, A.D.; Herman, L.; Hilbert, F.; Lindqvist, R.; et al. Salmonella control in poultry flocks and its public health impact. EFSA J. 2019, 17. [CrossRef]

30. Sarnino, N.; Berge, A.C.; Chantziaras, I.; Dewulf, J. Estimation of the production economic consequences of stopping partial depopulation in broiler production. Animals 2022, 12, 1521. [CrossRef] [PubMed]

31. van Meirhaeghe, H.; Schwarz, A.; Dewulf, J.; van Immerseel, F.; Vanbeselaere, B.; de Gussem, M. Transmission of poultry diseases and biosecurity in poultry production. In Biosecurity in Animal Production and Veterinary Medicine: From Principles to Practice; Dewulf, J., van Immerseel, F., Eds.; CABI: Oxfordshire, UK, 2019; pp. 329–356.

32. Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; Prisma Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009, 6, e1000097. [CrossRef]

33. Ouzzani, M.; Hammady, H.; Fedorowicz, Z.; Elmagarmid, A. Rayyan—A web and mobile app for systematic reviews. Syst. Rev. 2016, 5, 210. [CrossRef]

34. Namata, H.; Welby, S.; Aerts, M.; Faes, C.; Abrahantes, J.C.; Imberechts, H.; Vermeersch, K.; Hooyberghs, J.; Méroc, E.; Mintiens, K. Identification of risk factors for the prevalence and persistence of Salmonella in Belgian broiler chicken flocks. Prev. Vet. Med. 2009, 90, 211–222. [CrossRef] [PubMed]

35. Graziosi, G.; Lupini, C.; Catelli, E. Disentangling the role of wild birds in avian metapneumovirus (aMPV) epidemiology: A systematic review and meta-analysis. Transbound. Emerg. Dis. 2022, 69, 3285–3299. [CrossRef]

36. Wang, N. Conducting meta-analyses of proportions in R. J. Behav. Sci. 2023, 3, 64–126. [CrossRef]

37. Xavier, C.; Gonzales-Barron, U.; Paula, V.; Estevinho, L.; Cadavez, V. Meta-analysis of the incidence of foodborne pathogens in Portuguese meats and their products. Food Res. Int. 2014, 55, 311–323. [CrossRef]

38. Higgins, J.P.T.; Thompson, S.G. Quantifying heterogeneity in a meta-analysis. Stat. Med. 2002, 21, 1539–1558. [CrossRef]

39. Cargnel, M.; Filippitzi, M.E.; Van Cauteren, D.; Mattheus, W.; Botteldoorn, N.; Cambier, L.; Welby, S. Assessing evidence of a potential Salmonella transmission across the poultry food chain. Zoonoses Public Health 2023, 70, 22–45. [CrossRef] [PubMed]

40. Burnett, E.; Ishida, M.; de Janon, S.; Naushad, S.; Duceppe, M.O.; Gao, R.; Jardim, A.; Chen, J.C.; Tagg, K.A.; Ogunremi, D.; et al. Whole-genome sequencing reveals the presence of the blaCTX-M-65 gene in extended-spectrum β-lactamase-producing and multi-drug-resistant clones of Salmonella serovar Infantis isolated from broiler chicken environments in the Galapagos Islands. Antibiotics 2021, 10, 267. [CrossRef] [PubMed]

41. Sasaki, Y.; Ikeda, A.; Ishikawa, K.; Murakami, M.; Kusukawa, M.; Asai, T.; Yamada, Y. Prevalence and antimicrobial susceptibility of Salmonella in Japanese broiler flocks. Epidemiol. Infect. 2012, 140, 2074–2081. [CrossRef]

42. Long, J.R.; DeWitt, W.F.; Ruet, J.L. Studies on Salmonella from floor litter of 60 broiler chicken houses in Nova Scotia. Can. Vet. J. 1980, 21, 91–94.

43. Poppe, C.; Irwin, R.J.; Messier, S.; Finley, G.G.; Oggel, J. The prevalence of Salmonella enteritidis and other Salmonella spp. among Canadian registered commercial chicken broiler flocks. Epidemiol. Infect. 1991, 107, 201–211. [CrossRef]

44. El Hage, R.; El Rayess, Y.; Bonifait, L.; El Hafi, B.; Baugé, L.; Viscogliosi, E.; Hamze, M.; Mathieu, F.; Matar, G.M.; Chemaly, M. A national study through a ‘Farm-to-fork’ Approach to determine Salmonella dissemination along with the Lebanese poultry production chain. Zoonoses Public Health 2022, 69, 499–513. [CrossRef]

45. Lassnig, H.; Much, P.; Schliessnig, H.; Osterreicher, E.; Kostenzer, K.; Kornschober, C.; Köfer, J. Prevalence of Salmonella spp. in Austrian broiler flocks in the context of the EU-wide baseline survey 2005-2006. Berl. Munch. Tierarztl. Wochenschr. 2012, 125, 129–137.

46. Witkowska, D.; Kuncewicz, M.; Zebrowska, J.P.; Sobczak, J.; Sowi ´nska, J. Prevalence of ˙ Salmonella spp. in broiler chicken flocks in northern Poland in 2014–2016. Ann. Agric. Environ. Med. 2018, 25, 693–697. [CrossRef] [PubMed]

47. Khan, A.S.; Georges, K.; Rahaman, S.; Abebe, W.; Adesiyun, A.A. Occurrence, risk factors, serotypes, and antimicrobial resistance of Salmonella strains isolated from imported fertile hatching eggs, hatcheries, and broiler farms in Trinidad and Tobago. J. Food Prot. 2022, 85, 266–277. [CrossRef]

48. Badouei, M.A.; Vaezi, H.; Nemati, A.; Ghorbanyoon, E.; Firoozeh, F.; Jajarmi, M.; Peighambari, S.M. High prevalence of clonally related multiple resistant Salmonella Infantis carrying class 1 integrons in broiler farms. Vet. Ital. 2021, 57, 181–188. [CrossRef]

49. Ishihara, K.; Takahashi, T.; Morioka, A.; Kojima, A.; Kijima, M.; Asai, T.; Tamura, Y. National surveillance of Salmonella enterica in food-producing animals in Japan. Acta Vet. Scand. 2009, 51, 35. [CrossRef] [PubMed]

50. Cui, M.; Xie, M.; Qu, Z.; Zhao, S.; Wang, J.; Wang, Y.; He, T.; Wang, H.; Zuo, Z.; Wu, C. Prevalence and antimicrobial resistance of Salmonella isolated from an integrated broiler chicken supply chain in Qingdao, China. Food Control 2016, 62, 270–276. [CrossRef]

51. ISO 6579:2017. Available online: https://www.iso.org/standard/56712.html (accessed on 26 November 2024).

52. PN-EN ISO-6579:2003. Available online: https://www.intertekinform.com/en-us/standards/pn-en-iso-6579-2003-ac-2014-924 355_saig_pkn_pkn_2181707/?srsltid=AfmBOory95B47A_wg8aiOu5k9IXcFFQ2QTuchmDQ99kjijW4PyKSXe5C (accessed on 26 November 2024).

53. ISO 6579:2002. Available online: https://www.iso.org/standard/29315.html (accessed on 26 November 2024).

54. ISO 6579-1:2007. Available online: https://www.iso.org/standard/42109.html (accessed on 26 November 2024).

55. Iannetti, L.; Neri, D.; Santarelli, G.A.; Cotturone, G.; Podaliri Vulpiani, M.; Salini, R.; Antoci, S.; Di Serafino, G.; Di Giannatale, E.; Pomilio, F.; et al. Animal welfare and microbiological safety of poultry meat: Impact of different at-farm animal welfare levels on at-slaughterhouse Campylobacter and Salmonella contamination. Food Control 2020, 109, 106921. [CrossRef]

56. Vlaanderen, F.; Uiterwijk, M.; Cuperus, T.; Keur, I.; de Rosa, M.; Rozendaal, H.; Koene, M.; Schreurs, H.; Nijsse, R.; Nielen, M.; et al. Staat van Zoönosen 2018 [State of Zoonotic Diseases 2018]; Rijksinstituut voor Volksgezondheid en Milieu RIVM: Bilthoven, The Netherlands, 2019.

57. Mihaiu, L.; Lapusan, A.; Tanasuica, R.; Sobolu, R.; Mihaiu, R.; Oniga, O.; Mihaiu, M. First study of Salmonella in meat in Romania. J. Infect. Dev. Ctries. 2014, 8, 50–58. [CrossRef] [PubMed]

58. Peruzy, M.F.; Proroga, Y.T.R.; Capuano, F.; Mancusi, A.; Montone, A.M.I.; Cristiano, D.; Balestrieri, A.; Murru, N. Occurrence and distribution of Salmonella serovars in carcasses and foods in southern Italy: Eleven-year monitoring (2011–2021). Front. Microbiol. 2022, 13, 1005035. [CrossRef]

59. Zeng, H.; De Reu, K.; Gabriël, S.; Mattheus, W.; De Zutter, L.; Rasschaert, G. Salmonella prevalence and persistence in industrialized poultry slaughterhouses. Poult. Sci. 2021, 100, 100991. [CrossRef]

60. Shahada, F.; Chuma, T.; Okamoto, K.; Sueyoshi, M. Temporal distribution and genetic fingerprinting of Salmonella in broiler flocks from southern Japan. Poult. Sci. 2008, 87, 968–972. [CrossRef] [PubMed]

61. Murakami, K.; Horikawa, K.; Ito, T.; Otsuki, K. Environmental survey of salmonella and comparison of genotypic character with human isolates in Western Japan. Epidemiol. Infect. 2001, 126, 159–171. [CrossRef] [PubMed]

62. Duc, V.M.; Nakamoto, Y.; Fujiwara, A.; Toyofuku, H.; Obi, T.; Chuma, T. Prevalence of Salmonella in broiler chickens in Kagoshima, Japan in 2009 to 2012 and the relationship between serovars changing and antimicrobial resistance. BMC Vet. Res. 2019, 15, 108. [CrossRef]

63. Duc, V.M.; Shin, J.; Nagamatsu, Y.; Fuhiwara, A.; Toyofuku, H.; Obi, T.; Chuma, T. Increased Salmonella Schwarzengrund prevalence and antimicrobial susceptibility of Salmonella enterica isolated from broiler chickens in Kagoshima Prefecture in Japan between 2013 and 2016. J. Vet. Med. Sci. 2020, 82, 585–589. [CrossRef] [PubMed]

64. Chuma, T.; Miyasako, D.; Dahshan, H.; Takayama, T.; Nakamoto, Y.; Shahada, F.; Akiba, M.; Okamoto, K. Chronological change of resistance to β-lactams in Salmonella enterica serovar Infantis isolated from broilers in Japan. Front. Microbiol. 2013, 4, 113. [CrossRef]

65. Sun, T.; Liu, Y.; Qin, X.; Aspridou, Z.; Zheng, J.; Wang, X.; Li, Z.; Dong, Q. The prevalence and epidemiology of Salmonella in retail raw poultry meat in China: A systematic review and meta-analysis. Foods 2021, 10, 2757. [CrossRef]

66. Wang, H.H.; Ye, K.P.; Wei, X.R.; Cao, J.X.; Xu, X.L.; Zhou, G.H. Occurrence, antimicrobial resistance and biofilm formation of Salmonella isolates from a chicken slaughter plant in China. Food Control 2013, 33, 378–384. [CrossRef]

67. Park, H.J.; Chon, J.W.; Lim, J.S.; Seo, K.H.; Kim, Y.J.; Heo, E.J.; Wee, S.H.; Sung, K.; Moon, J.S. Prevalence analysis and molecular characterization of Salmonella at different processing steps in broiler slaughter plants in South Korea. J. Food Sci. 2015, 80, M2822–M2826. [CrossRef]

68. Rahmani, M.; Peighambari, S.M.; Svendsen, C.A.; Cavaco, L.M.; Agersø, Y.; Hendriksen, R.S. Molecular clonality and antimicrobial resistance in Salmonella enterica serovars Enteritidis and Infantis from broilers in three Northern regions of Iran. BMC Vet. Res. 2013, 9, 66. [CrossRef] [PubMed]

69. Fallah, S.H.; Asgharpour, F.; Naderian, Z.; Moulana, Z. Isolation and determination of antibiotic resistance patterns in nontyphoid Salmonella spp. isolated from chicken. Int. J. Enteric Pathog. 2013, 1, 17–21. [CrossRef]

70. Mejía, L.; Medina, J.L.; Bayas, R.; Salazar, C.S.; Villavicencio, F.; Zapata, S.; Matheu, J.; Wagenaar, J.A.; González-Candelas, F.; Vinueza-Burgos, C. Genomic epidemiology of Salmonella Infantis in Ecuador: From poultry farms to human infections. Front. Vet. Sci. 2020, 7, 547891. [CrossRef]

71. Medeiros, M.A.; Oliveira, D.C.; Rodrigues Ddos, P.; Freitas, D.R. Prevalence and antimicrobial resistance of Salmonella in chicken carcasses at retail in 15 Brazilian cities. Rev. Panam. Salud Publica 2011, 30, 555–560. [CrossRef] [PubMed]

72. Vinueza-Burgos, C.; Cevallos, M.; Ron-Garrido, L.; Bertrand, S.; De Zutter, L. Prevalence and diversity of Salmonella serotypes in Ecuadorian broilers at slaughter age. PLoS ONE 2016, 11, e0159567. [CrossRef] [PubMed]

73. Voss-Rech, D.; Vaz, C.S.; Alves, L.; Coldebella, A.; Leão, J.A.; Rodrigues, D.P.; Back, A. A temporal study of Salmonella enterica serotypes from broiler farms in Brazil. Poult. Sci. 2015, 94, 433–441. [CrossRef]

74. Bonilla-Caballero, M.A.; Lozano-Puentes, M.P.; Ospina, M.A.; Varón-López, M. First report of multidrug-resistant Salmonella Infantis in broiler litter in Tolima, Colombia. Vet. World 2022, 15, 1557–1565. [CrossRef] [PubMed]

75. Ramirez-Hernandez, A.; Carrascal-Camacho, A.K.; Varón-García, A.; Brashears, M.M.; Sanchez-Plata, M.X. Genotypic characterization of antimicrobial resistant Salmonella spp. strains from three poultry processing plants in Colombia. Foods 2021, 10, 491. [CrossRef]

76. Siceloff, A.T.; Waltman, D.; Shariat, N.W. Regional Salmonella differences in United States broiler production from 2016 to 2020 and the contribution of multiserovar populations to Salmonella surveillance. Appl. Environ. Microbiol. 2022, 88, e0020422. [CrossRef] [PubMed]

77. FSIS. Food Safety and Inspection Service. Salmonella Quarterly Reports: FY16. Available online: https://www.fsis.usda.gov/sciencedata/data-sets-visualizations/microbiology/microbiological-testing-program-rte-meat-and-7 (accessed on 7 October 2024).

78. FSIS. Food Safety and Inspection Service. Salmonella Quarterly Reports: FY17. Available online: https://www.fsis.usda.gov/sciencedata/data-sets-visualizations/microbiology/microbiological-testing-program-rte-meat-and-7 (accessed on 7 October 2024).

79. Foley, S.L.; Nayak, R.; Hanning, I.B.; Johnson, T.J.; Han, J.; Ricke, S.C. Population dynamics of Salmonella enterica serotypes in commercial egg and poultry production. Appl. Environ. Microbiol. 2011, 77, 4273–4279. [CrossRef] [PubMed]

80. Newton, K.; Gosling, B.; Rabie, A.; Davies, R. Field investigations of multidrug-resistant Salmonella Infantis epidemic strain incursions into broiler flocks in England and Wales. Avian Pathol. 2020, 49, 631–641. [CrossRef]

81. Sevilla-Navarro, S.; Torres-Boncompte, J.; Garcia-Llorens, J.; Bernabéu-Gimeno, M.; Domingo-Calap, P.; Catalá-Gregori, P. Fighting Salmonella Infantis: Bacteriophage-driven cleaning and disinfection strategies for broiler farms. Front. Microbiol. 2024, 15, 1401479. [CrossRef] [PubMed]

82. Shurson, G.C.; Urriola, P.E.; van de Ligt, J.L.G. Can we effectively manage parasites, prions, and pathogens in the global feed industry to achieve One Health? Transbound. Emerg. Dis. 2022, 69, 4–30. [CrossRef]

83. Gosling, R.; Oastler, C.; Nichols, C.; Jackson, G.; Wales, A.D.; Davies, R.H. Investigations into Salmonella contamination in feed mills producing rations for the broiler industry in Great Britain. Vet. Sci. 2022, 9, 307. [CrossRef]

84. Vinueza-Burgos, C.; Baquero, M.; Medina, J.; De Zutter, L. Occurrence, genotypes and antimicrobial susceptibility of Salmonella collected from the broiler production chain within an integrated poultry company. Int. J. Food Microbiol. 2019, 299, 1–7. [CrossRef]

85. Henry, I.; Granier, S.; Courtillon, C.; Lalande, F.; Chemaly, M.; Salvat, G.; Cardinale, E. Salmonella enterica subsp. enterica isolated from chicken carcasses and environment at slaughter in Reunion Island: Prevalence, genetic characterization and antibiotic susceptibility. Trop. Anim. Health Prod. 2013, 45, 317–326. [CrossRef]

86. Hald, B.; Olsen, A.; Madsen, M. Typhaea stercorea (Coleoptera: Mycetophagidae), a carrier of Salmonella enterica serovar Infantis in a Danish broiler house. J. Econ. Entomol. 1998, 91, 660–664. [CrossRef]

87. Crabb, H.K.; Allen, J.L.; Devlin, J.M.; Wilks, C.R.; Gilkerson, J.R. Spatial distribution of Salmonella enterica in poultry shed environments observed by intensive longitudinal environmental sampling. Appl. Environ. Microbiol. 2019, 85, e00333-19. [CrossRef] [PubMed]

88. Funk, J.A.; Davies, P.R.; Nichols, M.A. The effect of fecal sample weight on detection of Salmonella Enterica in swine feces. J. Vet. Diagn. Invest. 2000, 12, 412–418. [CrossRef] [PubMed]

89. Murad, M.H.; Chu, H.; Lin, L.; Wang, Z. The effect of publication bias magnitude and direction on the certainty in evidence. BMJ Evid. Based Med. 2018, 23, 84. [CrossRef]

90. Olsen, A.; Berg, R.; Tagel, M.; Must, K.; Deksne, G.; Enemark, H.L.; Alban, L.; Johansen, M.V.; Nielsen, H.V.; Sandberg, M.; et al. Seroprevalence of Toxoplasma gondii in domestic pigs, sheep, cattle, wild boars, and moose in the Nordic-Baltic region: A systematic review and meta-analysis. Parasite Epidemiol. Control 2019, 5, e00100. [CrossRef] [PubMed]

91. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Moher, D. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [CrossRef]

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Elena Catelli
Bologna University
Bologna University
Caterina Lupini
Bologna University
Bologna University
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