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Non-typhoidal Salmonella in Calabria, Italy: a laboratory and patient-based survey
  1. Valentina Mascaro1,
  2. Claudia Pileggi1,
  3. Maria Crinò1,
  4. Yolande Therese Rose Proroga2,
  5. Maria Rosaria Carullo2,
  6. Caterina Graziani3,
  7. Fabio Arigoni4,
  8. Pasquale Turno4,
  9. Maria Pavia1
  1. 1Department of Health Sciences, University of Catanzaro ‘Magna Græcia’, Catanzaro, Italy
  2. 2Department of Food Microbiology-Centro Pilota Tipizzazione Salmonelle, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Portici, Naples, Italy
  3. 3Dipartimento di Sanità Pubblica Veterinaria e Sicurezza Alimentare, Reparto di Epidemiologia Veterinaria e analisi del rischio, Istituto Superiore di Sanità, Rome, Italy
  4. 4Dipartimento Tutela della Salute, Task Force per le Attività Veterinarie, Regione Calabria, Catanzaro, Italy
  1. Correspondence to Maria Pavia; pavia{at}unicz.it

Abstract

Introduction Although there has been a decrease in the number of cases of salmonellosis in the European Union, it still represents the primary cause of foodborne outbreaks. In Calabria region, data are lacking for the incidence of human non-typhoid salmonellosis as active surveillance has never been carried out.

Objective To report the results of a laboratory and patient-based morbidity survey in Calabria to describe the incidence and distribution of Salmonella serovars isolated from humans, with a focus on antimicrobial resistance patterns.

Methods Positive cultures from human samples were collected from every laboratory participating in the surveillance, with a minimum set of information about each isolate. A questionnaire was then administered to the patients by telephone interview to assess the potential risk exposures.

Salmonella isolates underwent biochemical identification, molecular analysis by PCR and antimicrobial susceptibility testing by the disk-diffusion method.

Results During a 2-year period, 105 strains of Salmonella spp were isolated from samples of patients with diarrhoea, with the highest isolation rate for children aged 1–5 years. The standardised rate was 2.7 cases per 1 00 000 population. The most common Salmonella isolates belonged to monophasic variant of S. Typhimurium (S. 4,[5],12:i:-) (33.3%), followed by S. Typhimurium (21.9%). 30.5% of the isolates were susceptible to all microbial agents tested and the most common pan-susceptible serotype was S. Napoli (100%). S. 4,[5],12:i:- was resistant to ampicillin, streptomycin, sulfonamides and tetracyclines in 42.9% cases, while resistance to quinolones was seen in 14.3% of the isolates.

Conclusions The results provide evidence that an active surveillance system effectively enhances Salmonella notifications. The high prevalence of antimicrobial resistance, including resistance to quinolones and multiresistance, enforces the need to strengthen strategies of surveillance and monitoring of antimicrobial use.

  • salmonella
  • morbidity survey
  • gastrointestinal infection
  • antimicrobial

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Strengths and limitations of this study

  • This study reports for the first time the results of a laboratory and patient-based survey surveillance of human cases of salmonellosis in Calabria, a region with one of the lowest notification rates.

  • All hospital and outpatient laboratories (public or private) were contacted and those who performed microbiological analyses for the detection of Salmonella spp were considered eligible in a surveillance network.

  • As a surveillance system, the study inevitably underestimates diseases occurring in the community, analysing only a fraction of the total number of cases of illness in the population.

Introduction

Salmonella infections are among the most common foodborne diseases: they cause approximately 93.8 million illnesses and 1 55 000 deaths annually around the world.1 Although there has been a steady decrease in the number of cases in the European Union (EU), salmonellosis represents the primary cause of foodborne outbreaks and the second most frequently reported zoonosis. Recently, it has been estimated that the overall incidence of human salmonellosis in the EU general population is approximately 20.4 cases per 1 00 000 population each year, while in Italy the incidence is 7.5 cases per 1 00 000 population each year.

In Italy, surveillance of acute infectious gastroenteritis and outbreaks of food-borne diseases is part of the activities of the Italian National Surveillance System of diseases (SIMI) whereas Enter-net (IT-ENTER-NET) is a laboratory-based surveillance system for enteropathogens based on a network of clinical microbiology diagnostic laboratories.2 3 It is complementary to SIMI and collects microbiological information on Salmonella isolates from human cases each year.

The level of under-reporting of infectious diseases and laboratory surveillance, is expected to vary between countries, depending on differences in organisation and effectiveness of local systems.4

These surveillance systems vary greatly in their performance, representativeness and data quality in different Italian regions, since laboratories that participate in the surveillance are not homogeneously distributed nationally. There are differences in sensitivity among Italian regions; in particular, it has been shown that northern regions of Italy are generally more sensitive in detecting cases, leading to significantly higher notification rates in comparison with the national average.5 In Calabria region, data for the incidence of human non-typhoid salmonellosis (NTS) are lacking.5 Surveillance has never been carried out, but the information which could be obtained would help to guide clinicians in the treatment of those groups at risk, such as infants, the elderly and immunocompromised patients, who would not benefit from simple rehydration therapy, and would help local health authorities in the identification of appropriate control measures.6

Within the framework of a research project supported by the Ministry of Health, the study reports the results of a laboratory and patient-based morbidity survey in Calabria to describe the incidence and distribution of Salmonella serovars isolated from humans, with a focus on antimicrobial resistance patterns.

Materials and methods

A laboratory and patient-based survey for Salmonella spp infections has been carried out in Calabria (southern Italy), a region with 1 980 533 inhabitants (population estimates for 2014) living in three major cities and several smaller centres.

The five local health units provided a list of all clinical microbiology diagnostic laboratories of Calabria region. All hospital and outpatient laboratories (public or private) were contacted and those who carried out microbiological analyses for the detection of Salmonella spp were considered eligible and invited to participate. A healthcare worker was trained to carry out the survey for each laboratory agreeing to participate. The project took place between February 2013 and March 2015.

Surveillance system

Positive cultures from human samples were obtained from the different laboratories. Every laboratory sent the isolates to the coordinating unit with accompanying documentation. A minimum set of information about each isolate was collected: name of the laboratory that reached the microbiological diagnosis, isolation date, sample type (stools or blood), patient sex, age, residence and telephone number. The unit provided biochemical identification and collected the strains for dispatch to the reference laboratories (Veterinary Public Health Institute of Southern Italy and the National Institute of Health) for typing.

A questionnaire was then administered to patients by telephone interview by a trained physician after appropriate informed consent had been obtained. If a patient was aged <18 years, an adult member of the household responded to the questionnaire.

Review instrument

The questionnaire used in the survey (online supplementary data) was a validated Italian version7 review instrument currently used in the surveillance of acute gastroenteritis, and was adapted from the Center for Disease Control and Prevention standardised foodborne disease outbreak questionnaire.8

Supplementary file 1

Validation of the survey instrument was performed through assessment of internal and test–retest (external) reliability, in addition to face and content validity. Test–retest reliability was checked in a pilot study of a sample of patients to ensure clarity and ease of completion and to improve the validity of responses and the information included. Modifications were then made as necessary.

The questionnaire included 43 questions divided into five sections. Responses were obtained in a variety of formats: closed-ended questions with multiple answers possible, yes or no questions and open-ended questions.

The sections of the questionnaire were as follows: (1) sociodemographic characteristics of the patient; (2) details of whether the patients or their cohabitants had or had not any sign of illness, information about prescribed culture tests, health service use and eventual hospitalisation, drugs taken and travel in the previous 2 weeks; (3) information about food exposures and the origin of foodstuff; (4) other exposures (ie, contact with animals, outdoor activities, water sports); (5) information about the source of commonly used water and purpose of use.

Microbiological methods

Salmonella isolates were biochemically identified using conventional microbiological methods and the automated Vitek system (BioMérieux). Serotyping was performed by the slide agglutination method using commercial O and H antisera (the antisera were purchased from Statens Serum Institut, Denmark) according to Kauffmann-White-Le Minor scheme.9

Strains were definitively assigned to serovar Typhimurium or S. 4,[5],12:i:– on the basis of the presence or the absence of the fljB gene tested by PCR.10

Antimicrobial susceptibility was performed by the disk-diffusion method (Kirby-Bauer). The following antimicrobial agents and concentration (μg) were used: amikacin (30), amoxicillin/clavulanic acid (20/10), ampicillin (10), cefoxitin (30), ceftriaxone (30), cephalothin (30), chloramphenicol (30), ciprofloxacin (5), gentamicin (10), kanamycin (30), nalidixic acid (30), neomycin (30), nitrofurantoin (100), streptomycin (10), sulfamethoxazole/trimethoprim (23.75/1.25), trimethoprim (5) and tetracycline (30). Classification of the categories as susceptible, intermediate or resistant was based on the Clinical and Laboratory Standards Institute guidelines11 and for the purpose of analysis, all readings classified as intermediate were considered as resistant where necessary.

The study protocol was ratified by the institutional ethics committee (‘Mater Domini’ Hospital of Catanzaro, Italy) (7/05/2013).

Data analysis

Data were stored and analysed using an appropriate database. Statistical analysis was performed using STATA software programme, version 11 (Stata Corporation. College Station, Texas, USA).

Age-specific and standardised incidence rates were calculated. Direct standardisation using the Italian population as standard was performed. Demographic data were obtained from the National Institute of Statistics (ISTAT).12

Results

The health authorities listed a total of 245 regional microbiology diagnostic laboratories. After exclusion of those which did not perform microbiological analyses for the detection of Salmonella spp, the network comprised 114 laboratories. Of these, 110 agreed to participate, with a response rate of 96.5%. Among the participating laboratories, 25 were public laboratories (hospital or outpatient based) and 85 were private.

During the 2-year survey, 108 cultures from stool samples of patients with a clinical picture compatible with salmonellosis were collected from the participating laboratories; among these samples, 105 were confirmed as strains of S. enterica. Demographic data were available for 102 of the patients, and complete telephone interviews for 70/105 (66.7%) patients. Four patients (3.8%) were not directly interviewed owing to a lack of contact, and thus data were obtained from medical records.

Distribution of cases and age-specific rates are shown in table 1. The highest isolation rate was for children aged 1–5 years, followed by children aged 6–14 years and in those aged ≥65 years (table 1). The standardised rate was 2.7 cases per 1 00 000 population. Data from the phone interviews showed that, as expected, the three most frequently reported clinical symptoms were diarrhoea (100% of responders), fever (89.7%) and abdominal pain (65.4%).

Table 1

Number of Salmonella isolates for age group, year and average annual incidence in Calabria, Italy 2014–2015

At least one family member of the included patients had similar symptoms in 19 cases and, of these, only four were recommended by their general practitioner or community-based paediatrician to have a culture test for the diagnosis of salmonellosis: one of these was positive for Salmonella spp and was included in the study.

All 78 patients who answered the questionnaire sought medical assistance: 54 (69.2%) of them consulted a general practitioner or community-based paediatrician, while 24 (30.8%) went to the emergency department. Antimicrobial agents were used for 78% of the responders, for an average of 9.1 days (±3.9), and 82.3% of the patients from whom we could gather this information were hospitalised, with an average stay of 5.7 days (±3.4). Most frequently used antimicrobial agents were ceftriaxone (41%), sulfamethoxazole/trimethoprim (13.1%), amoxicillin/clavulanic acid (13.1%) and clavulanic acid (8.2%).

All responders referred to the consumption of food deemed to be potentially unsafe. In most cases food eaten within 24–48 hours before the onset of symptoms included milk and milk products (90% of cases); cooked meat (90.5% of cases); sausages (71.4% of cases); cooked eggs (64.3% of cases). Less common was the consumption of cooked (38.6%) and raw (34.3%) vegetables and raw eggs (20%).

Salmonella isolates belonged to 19 serotypes with monophasic variant of S. Typhimurium (S. 4,[5],12:i:-) being the most common (33.3% of the total isolates), followed by S. Typhimurium (21.9% of the total isolates), S. Enteritidis (13.3% of the total isolates), S. Napoli (9.5% of the total isolates) and S. Infantis (2.9% of the total isolates). Other serovars represented 19% of the total isolates (table 2).

Table 2

Antimicrobial resistance patterns of the main Salmonella serovars isolated from human cases in Calabria, 2014–2015

Of all 105 NTS isolates, 30.5% were susceptible to all microbial agents tested. The most common serotypes of pan-susceptible isolates were S. Napoli (100%), S. Enteritidis (50%) and S. Infantis (33.3%). S. Typhimurium serovar 4,[5],12:i:- showed resistance to ampicillin, streptomycin, sulfonamides and tetracyclines (R-type ASSuT) with or without additional resistances in 60% of cases. Over the study period resistance to quinolones tested (nalidixic acid and ciprofloxacin) was seen in 15 (14.3%) of the total isolates and among these the most common serovar was S. Infantis (66.7% of cases) and S. Enteritidis (28.6% of cases) (table 2).

Discussion

This study reports for the first time the results of surveillance for salmonellosis in the population  in Calabria, a region with one of the lowest notification rates.5 13

The incidence rate (2.7 cases per 1 00 000 population) differs significantly from that published by the European Food Safety Authority, which collects data on salmonellosis cases reported in the EU; they reported in 2011 a higher Italian rate of 7.5 cases per 1 00 000 population.14 Recently, there has been a significant reduction in reported cases rates across the EU.14 15 We know that isolation rates are usually considerably lower in the southern part of Italy,5 but in northern Italy surveillance systems are more sensitive in detecting cases of infectious gastroenteritis,16 leading to relatively higher national notification rates of salmonellosis.

The total number of cases between the 2 years of our survey differs, showing a reduction of isolates that is only partly explained by the trend for reduction across the EU.14 15 This might be due to under-reporting of cases.

In addition, any surveillance system inevitably underestimates diseases occurring in the community for different reasons. First of all many subjects do not seek medical attention and for salmonellosis, only a proportion of symptomatic patients submit stool specimens for investigation; moreover, the sensitivity of laboratory identification varies according to the pathogen and not all identified pathogens are reported to the surveillance centre.15 16

Isolation rates were highest in children aged 1–5 years. This finding is consistent with that of other studies that have shown that younger children are at greater risk of infection.5 17 This might also be due to an overestimation of cases in certain age group. There is a greater proportion of symptomatic infections among children, who also are at risk of dehydration, and they are more likely to see a doctor and therefore to have a stool examination (ie, detection bias).18

Almost all the data in our report were collected from hospitalised patients. However, we know that hospitalisations represent only a fraction of the total number of cases of illness in the population: for a pathogen of moderate virulence, a relatively small proportion of those who seek medical attention will be hospitalised. Since our surveillance was extended also to outpatient laboratories, it seems that in non-hospitalised cases, probably with milder disease than in those admitted to hospital, microbiological analyses are less frequently performed. Moreover, asymptomatic and mild cases of disease are difficult to enumerate because of under-reporting by physicians and differences of diagnostic capabilities and protocols among laboratories.15

Seventy-eight per cent of patients received antibiotic therapy, even though there is no evidence for its benefit for NTS diarrhoea in otherwise healthy people, and routine antimicrobial therapy is not recommended for mild and moderate cases of NTS.19 Therefore, such a high percentage might be because in the 2-year survey most of the antibiotic-treated patients were hospitalised and were 0–5-year-old children in more than 50% of cases, justifying the treatment for a severe disease that could not be treated by only electrolyte replacement and rehydration.

The most frequently isolated serovars in the 2 years survey were S. 4,[5],12:i:- (33.3% of all isolated) and S. Typhimurium (21.9% of all isolated). The monophasic variant of serotype Typhimurium, S. 4,[5],12:i:-, has only rarely been reported among Salmonella serovars isolated before 1993, whereas since 2000 it has been found in human clinical cases, different animal species and foods in different continents, including Europe, Asia and South and North America.5 20 In Europe, although S. Enteritidis still remains the most reported serovar, S. 4,[5],12:i:- showed a marked increase in foodborne infections associated with pig meat.21 S. 4,[5],12:i:- has well-established reservoirs of livestock that are likely to have favoured its entrance into the food chain, and consequent rapid emergence and dissemination.22 Our findings are consistent with the results of other Italian studies, with S. Typhimurium being the most reported in the period 2000–2011.23 Moreover, a recent study in northeastern Italy reported that the most commonly isolated serotypes were S. Typhimurium and its monophasic variant, with S. Enteritidis being the third most isolated serovar.24

Evidence for the decrease in human salmonellosis in Italy since the late 1990s relates to specific serovars, namely, S. Enteritidis and S. Infantis, whereas there is evidence that other serovars have emerged (S. 4,[5],12:i:-, S. Derby and S. Napoli) or remained fairly stable (S. Typhimurium).2 13 The decrease of S. Enteritidis is probably due to the implementation of control measures against Salmonella, especially within the poultry industry, such as the vaccination of laying hens, improved hygiene and education of food workers.25 26

In line with other studies in Italy, a substantial proportion of S. Napoli was found (9.5% of all isolated) during our 2-year survey. In Italy, there is a slight but constant increase of cases of S. Napoli27 and a low association with foodborne exposure.28 The number of cases of S. Napoli in Italy has been rising since 2000, but no factors accounting for this trend have been identified.28 There is a possibility of the presence of S. Napoli reservoirs in the environment; results obtained applying different molecular typing techniques have shown the presence of S. Napoli in different settings, such as wildlife and surface waters.29

Rates of antimicrobial resistance varied according to serotype. All isolates belonging to serotype S. 4,[5],12:i:- were resistant to at least one antibiotic, while the other serovars were resistant to at least one antimicrobial  agent in between 5.7% and 66.7% of cases. The only exception was S. Napoli isolates, which were susceptible to all the tested antibiotics. In Europe, S. Typhimurium has consistently exhibited the highest percentage of strains with multiple resistances, mainly of the ACSSuT type,30 but the frequency of  dissemination of this multiresistant clone has reduced since 2002.31 On the other hand, in Italy strains with the ASSuT pattern have become increasingly common, both in S. Typhimurium and S. 4,[5],12:i:- since 2000,14 29 and more recent data reported that this resistance pattern is present in 36.1% of Salmonella isolates, mainly in S. 4,[5],12:i:-. Moreover, S. 4,[5],12:i:- only rarely showed the ACSSuT pattern.13

The Salmonella serovar 4,[5],12:i:- resistant to ampicillin, streptomycin, sulfonamide and tetracycline (pattern ASSuT) is extensively circulating in Denmark, Italy, the United Kingdom and in Greece,28 32 33 and it has been frequently isolated from animal sources,in particular, swine.34 In agreement with previous studies, we found high rates of S. 4,[5],12:i:- that presented the ASSuT pattern with or without other resistances (60% of all S. 4,[5],12:i:- isolated).

Multidrug resistant Salmonella strains are indeed of worldwide interest and a serious public health concern, because it has been shown that outbreaks caused by multidrug resistant NTS are associated with an increased rate of hospitalisation compared with outbreaks caused by pan-susceptible NTS.35 36

Over the study period resistance to quinolones (nalidixic acid or ciprofloxacin) was seen in 14.3% of the isolates. Resistance to quinolones among Salmonella around the world was low until the 1990s, when it started to increase21 37 and the serovar most involved was S. Enteritidis.38 On the contrary, in Italy the resistance rate to quinolones and fluoroquinolones tends to be relatively low.24

Emergence of antibiotic resistance has been related to the massive use of antimicrobial agents both in human and in veterinary medicine. Especially in livestock animals, antimicrobial agents are used for treatment and prophylaxis of diseases and in the past have been used as growth promoters.39 This particularly applied to the poultry industry, until European bans led to a substantial reduction in the amount of antibiotics used in animal production.40 Indeed, the resistance to fluoroquinolones in Salmonella spp is a major concern, since fluoroquinolone is one of the preferred drugs for early empirical treatment of severe gastroenteritis in adults41 and drug-resistant NTS is associated with increased severity.42

Conclusions

In conclusion, the results of the survey provide evidence of the effectiveness of an active surveillance system in enhancing the detection of cases of Salmonella, and identification of circulating strains associated with human infections. The high prevalence of antimicrobial resistance, including resistance to quinolones and multiresistance (R-type ASSuT), increases the need to strengthen strategies of surveillance and monitoring of antimicrobial use. It might be useful for the future to consider the sustainability of such a survey in order to enforce a true surveillance system for enteric diseases and related antimicrobial resistance problems.

Acknowledgments

We are very grateful to the clinical microbiology diagnostic laboratories who agreed to participate in this study: A.O. Mater Domini (Professor Alfredo Focà, Dott.ssa Rossana Puccio), A.O. Pugliese Ciaccio (Dott.ssa Rosanna Masciari), P.O. Soverato (Dott. Mimmo Donato, Dott.ssa Donatella Scuteri), P.O. Soveria Mannelli (Dott. Ivan Potente), P.O. Lamezia Terme (Dott.ssa Rosa Anna Leone, Dott. Salvatore Nisticò, Dott.ssa Enza Caruso); Laboratorio Armogida (Dott. Giuseppe Armogida), Poliambulatorio Lametino (Dott.ssa Maria Teresa Germinara), Laboratorio Biomedica (Dott.ssa Anna Bressi), Laboratorio Barillaro (Dott. Rosario Crea), Laboratorio Matozzo (Dott. Francesco Matozzo), A.O. Annunziata Cosenza (Dott.ssa Cristina Giraldi), P.O. Rogliano (Dott.ssa Teresa Spataro), P.O. Praia a Mare (Dott.ssa Francesca Massara, Dott. Raffaele Diana), P.O. San Giovanni in Fiore (Dott. Amalfitano, Dott.ssa Francesca Orrico), P.O. Acri (Dott.ssa Anna Ceraldi, Dott. Michele Fusaro), P. O. Cetraro (Dott.ssa Adele Taranto), P.O. Castrovillari (Dott. Giovanni Gigliotti, Dott.ssa Rossella Maltese), P.O. San Marco Argentano (Dott. Antonio Damis), P.O. Lungro (Dott.ssa Titta Bonifati), P.O. San Francesco di Paola (Dott.ssa Marinella Zacchi, Dott.ssa Maria Maddalena Grossi), P.O. Rossano (Dott. Pasquale Paletta, Dott.ssa Maria Lucia Petrelli, Dott. Luigi Mariano), P.O. Trebisacce (Dott.ssa Elisabetta Grillo), Laboratorio F.lli Luca (Dott.ssa Teresa), LABMONACO (Dott. Giovanni Monaco), Laboratorio Lusal (Dott.ssa Angela Argirò), Laboratorio Salus (Dott. Sergio Gravina), Biodiagnostica (Dott.ssa Carmela Milano), Laboratorio Salimbeni (Dott. Francesco Salimbeni), Laboratorio Cosentino (Dott. Natalino Cosentino), Laboratorio De Pietro (Dott. Francesco De Pietro), Centro Diagnostico S. Nilo (Dott.ssa Annamaria Parise), Laboratorio Ricci (Dott.ssa Elisabetta Pulerà), Laboratorio Bilotta (Dott.ssa Maria Carmela Bilotta), Diagnostica Medica Coscarella (Dott. Fabio Coscarella), Laboratorio Nitti (Dott.ssa Giulia Rossi), Laboratorio Leporace (Dott.ssa Ivana Benvenuti), Laboratorio Biocenter (Dott. Salvatore Di Nardo), Laboratorio Ippolito (Dott.ssa Gabriella Capparelli), Laboratorio Biocontrol Check-up (Dott.ssa Emanuela De Marco), Laboratorio Medical (Dott.ssa Laurie-Lynn Carelli), Laboratorio Bios (Dott.ssa Patrizia Marrelli), Laboratorio Perugini (Dott.ssa Anna Perugini), Laboratorio Miceli (Dott. Francesco Miceli), Laboratorio Gamma (Dott.ssa Beatrice Valente), Laboratorio Politano/Loizzo (Dott. Maria Grazia Dielsi), Laboratorio Borzì (Dott. Domenico Borzì), Laboratorio Biolab (Dott.ssa Maria Clorinda Aronna), Laboratorio Biomedical (Dott.ssa Maria Concetta Rummolo), Laboratorio Serio (Dott.ssa Anna Maria Serio), Laboratorio Analysis Centre (Dott. Francesco Sarubbi), Centro diagnostico Sybaris (Dott.ssa Rosina Tirone), Laboratorio Centro Jonico (Dott. Vincenzo Ippolito), Laboratorio Di Donna (Dott. Paolo Di Donna), Laboratorio Vercillo (Dott.ssa Marina Vercillo), Laboratorio Nicastro (Dott. Giancarlo Nicastro), Casa di cura Cascini (Dott. Giuseppe Avolicino), Istituto Tricarico (Dott.ssa Maria Francesca Bianco), P.O. Crotone (Dott.ssa Rita Cizza), Laboratorio Bios (Dott.ssa Fortunata Salvemini), Laboratorio Altomari (Dott.ssa Maria Bonpignano), Laboratorio Fleming (Dott. Oreste Antonio Setti), Laboratorio Dott. Rodio (Dott. Gaetano Paparino), Laboratorio Volante (Dott.ssa Antonietta Rizzo), Laboratorio Biolav (Dott. Salvatore Valente), Laboratorio Via (Dott. Salvatore Cimieri), Laboratorio Riillo (Dott. Pasquale Riillo), Laboratorio Morrone (Dott.ssa Teresa Primerano), Laboratorio Pasteur (Dott. Giovanni Ierardi), A.O. Melacrino-Morelli (Dott. Angelo Barbaro), P.O. Locri (Dott.ssa Antonella Rodinò), P.O. Scilla (Dott.ssa Serafina Rullo, Dott.ssa Francesca Aromato), P.O. Melito Porto Salvo (Dott. Ferdinando Familiari), P.O. Polistena (Dott. Girolamo Cangemi, Dott. Alfredo Rosselli), Laboratorio Saladino (Dott. Rocco Tassone), Laboratorio Tassone (Dott. Rocco Tassone), Laboratorio Antico (Dott. Alfredo Antico), Laboratorio Alfa Bianco (Dott.ssa Maria Giuseppina Strati), Poliambulatorio Specialistico (Dott.ssa Rosita Murdocca), Poliambulatorio Ventra (Dott. Giuseppe Ventra), Laboratorio San Rocco (Dott. Giuseppe Santoro), Laboratorio Cavaliere (Dott. Francesco Cavaliere), Laboratorio L.A.C (Dott. Domenico Fotia, Dott. Ferdinando Maringola), Centro Diagnostico Gamma (Dott. Vincenzo Macino), Laboratorio Caruso (Dott. Antonio Caruso), Laboratorio Salus (Dott. Francesco Mobrici), Laboratorio Minerva (Dott.ssa Maria Campise), Laboratorio Sant’Anna (Dott. Massimo Saiaci), Laboratorio S. Antonio (Dott. Antonino Laurendi), Laboratorio Libri (Dott. Fortunato Libri), Laboratorio Serranò (Dott. Francesco Serranò), Laboratorio Richichi (Dott. Roberto Richichi), Istituto GMM (Dott. Antonio Messina), Laboratorio Zoccali (Dott.ssa De Salvo), Laboratorio Simef (Dott. Stefano Votanol), Laboratorio Pasteur (Dott.ssa Daniela Ricioppo), Laboratorio Siracusa (Dott. Francesco Siracusa), Laboratorio Europa (Dott. Alfio Palazzolo), Laboratorio Barreca (Dott. Giorgio Barreca), Laboratorio I.D.E.A. (Dott. Giuseppe De Angelis), Laboratorio De Blasi (Dott.ssa Antonia Malara), Polidiagnostica Meridionale (Dott. Gregorio Greco),Laboratorio Clinical Control (Dott.ssa Cribari), P.O. Vibo Valentia (Dott. Enzo Majolo, Dott. Tito Rodà), P.O. Tropea (Dott. Michele Cutellè), Laboratorio Salus (Dott. Vincenzo Mangialavori), Laboratorio Nusdeo (Dott. Sergio Pacetti), Laboratorio Biomedical (Dott. Pino Lo Iacono).

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View Abstract

Footnotes

  • Contributors VM contributed to the data analysis and its interpretation, and wrote the manuscript. MC made substantial contributions to the acquisition of the data, contributed to the data analysis and its interpretation. YTRP, MRC, FA, and PT participated in the acquisition of the data and contributed to the data analysis. CP and CG made substantial contributions to conception and design of the study, coordinated data collection, contributed to the data analysis and its interpretation, and revised the manuscript critically for important intellectual content. MP conceptualised and designed the study, supervised data collection, was responsible for the data analysis and interpretation and revised the manuscript. All authors had full access to all the data (including statistical reports and tables) in the study and can take responsibility for the integrity of the data and the accuracy of the data analysis.

  • Funding This work was supported by Italian Ministry of Health-Centro di Controllo delle Malattie ‘Risk assessment of zoonotic infections due to consumption of fresh produce grown in areas with high livestock density’-grant number CCM 2012/604.

  • Competing interests All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

  • Patient consent The article does not contain personal medical information about an identifiable living individual.

  • Ethics approval Institutional ethical committee (‘Mater Domini’ Hospital of Catanzaro, Italy).

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement Survey data were not included in the present article and are available from the authors.

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