Background {#Sec1}
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Poultry meat constitutes a greater percentage of human protein sources; however, it may also serve as an important medium for the transfer of multidrug-resistant bacteria, such as extended spectrum β-lactamase-producing *Escherichia coli* (ESBL-EC), from food-producing animals to the consumers. ESBL-EC is an emerging zoonotic and a multidrug-resistant bacterium, which has currently posed a major challenge in antimicrobial treatments \[[@CR1]\]. Antimicrobial resistance and food safety in recent years, have received global attention over their huge impact on population health and global economy \[[@CR2]\].

Besides, molecular epidemiological studies have shown that large proportions of resistant *E. coli* causing blood stream infections within human population are of food animal origin \[[@CR3], [@CR4]\]. According to WHO global report on antimicrobial resistance \[[@CR2]\], ESBL-EC is among the most frequent causes of blood stream infection, community and hospital acquired urinary tract infection, also with the associated increase in mortality rate and cost of hospitalization, prolonged hospital stay, as well as the world most leading cause of foodborne infection. Foodborne infection with ESBL-EC, moreover, has been associated with limited therapeutic options, prolong duration of infection, high rate of treatment failure with increased morbidity, and mortality rate \[[@CR5], [@CR6]\].

Furthermore, several studies have consistently revealed the role of retail poultry meat in the transmission of multidrug resistant bacteria among human population and their environment, resulting in increased challenge to food safety and environmental health \[[@CR7]\]. Other than that horizontal transfer of ESBL-EC has been believed to be the major pathway that fosters its global dissemination \[[@CR8]\] through improper handling of poultry during slaughtering, dressing and other meat processing operations as well as at retailing.

Thus, ESBL-EC has been reported as a threatening issue in the Malaysian healthcare setting \[[@CR9], [@CR10]\], in addition to several research reports demonstrating the potential role of retail poultry meat as a major reservoir for human exposure to ESBL-EC \[[@CR7], [@CR11], [@CR12]\]. However, little or no study has been conducted to study its prevalence and the risk factors that may foster its dissemination at retail poultry meat-markets in Malaysia. Hence, the objective of this study was to determine the prevalence and risk factors associated with ESBL-EC at retail poultry meat wet-markets in Selangor, Malaysia.

Methods {#Sec2}
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Study area {#Sec3}
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Selangor is one of the 13 states of Malaysia; with a total area of 8,104 km^2^, the Malaysia's most populous state, also known as the industrial hub of Malaysia, with the largest economy in terms of gross domestic product (GDP), providing almost 23 % of Malaysian GDP; it is located at centre of Peninsular Malaysia \[[@CR13]--[@CR15]\]. Almost 90 % of Malaysian poultry production is in peninsular Malaysia (while the remaining is in East Malaysia), which was reported to be among the world highest per capita consumption of poultry meat at 40 kg per year \[[@CR16]\]. Poultry meat is the most stable protein source across all ethnic groups of the Malaysian population \[[@CR16]\]. According to the USDA recent International Egg and Poultry review \[[@CR17]\], Malaysia is self-sufficient in poultry meat production, which was almost entirely of broiler meat, with production forecast at 1.44 million tons; about 40 % are marketed to the consumers through wet-markets \[[@CR17]\].

Collection of sample {#Sec4}
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A total of 240 samples comprising 160 broiler chicken meat samples (breast, wing, thigh, and keel) and 80 swab samples from contact surfaces (weighing scales and cutting boards/instrument) were examined to detect the presence of ESBL-EC. The estimated sample size was calculated using G\*Power 3.1.9.2, using A priori F-tests ANOVA: Fixed effects, omnibus, and one-way; given α = 0.05, Power = 0.80, Effect size = 0.25, Number of groups = 8. Informed consents were obtained from each participant prior to sample collection and questionnaire administration. The participants were informed about the purpose of the research, likewise they were assured of protecting their identities and received information would be highly confidential, as it was only used for research purpose.

A total number of 40 individual stalls were selected at random within eight districts in Selangor (Table [2](#Tab2){ref-type="table"}). Three wet-markets were selected in every district, out of which five different stalls were recruited to represent a district area. At each stall, six representative samples were obtained, which consisted of four broiler chicken meats (breast, keel, wing and thigh) and two swabs (weighing scale and cutting board/instrument). The meat samples were bagged separately in a sterile plastic bag. The surfaces of the cutting board/instrument and weighing scale covering an area of 25 cm^2^ were swabbed using pre-moistened sterile cotton swab, \[[@CR18]\], and each swab was placed in sterile transport media containing 9 ml of peptone water (Oxoid). All samples were transported to the laboratory in ice cool box and processed within five hours of collection.

Sample preparation {#Sec5}
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Each meat sample was processed by taking 25 g of the meat sample, vigorously shaken in a sterile plastic bag containing 225 ml of peptone water and homogenized in a stomacher for 1 min \[[@CR19]\]. Five ml of each homogenized sample was subsequently placed in 45 ml of peptone water and vortexed gently to form a mixture of processed meat sample. Each of the bottles containing the swab was vortexed gently; then, 1 ml was taken and diluted in 9 ml of peptone water and was further vortexed gently.

*E. coli* isolation and identification {#Sec6}
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A few loopfulls of each processed sample was directly inoculated on Chromocult Coliform agar (Merck, UK) and incubated at 37 °C for 24 h. The agar served as differential and selective media, it distinguished *E. coli* from other coliform colonies and inhibited gram-positive bacteria growth, which was further confirmed by using Kovac's reagent (the blue-violet *E. coli* colony becomes red) as indicated by the manufacturer.

Screening for extended spectrum β-lactamases production {#Sec7}
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The non-duplicate representative of *E. coli* isolates were subcultured on CHROMagar ESBL (CHROMagar, Paris, France) to screen for the presence of ESBLs \[[@CR20]\]. The plates were incubated aerobically overnight at 37 °C. The presumptively identified ESBL-EC colonies were selected (dark pink to reddish colonies) and further subjected to phenotypic confirmation.

Phenotypic confirmation of extended spectrum β-lactamases production {#Sec8}
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The phenotypic confirmation was conducted by using the Combination Disk Method, as described by CLSI \[[@CR21]\]. The bacterial suspension (turbidity of 0.5 McFaland standard) was spread on Mueller-Hinton agar (oxoid) impregnated with cefotaxime (CTX-30 μg), ceftazidime (CAZ-30 μg), cefotaxime/clavulanic acid (CTX/CV), and ceftazidime/clavulanic acid (CAZ/CV) disks, and incubated at 37 °C for 16 to 18 h. The interpretation was based on the zones of inhibition produced by cefotaxime (CTX-30 μg) and ceftazidime (CAZ-30 μg) disks against cefotaxime/clavulanic acid (CTX/CV), and ceftazidime/clavulanic acid (CAZ/CV) respectively \[[@CR21]\]. A difference of ≥5 mm between the zones of CTX and CTX/CV or CAZ and CAZ/CV was considered as phenotypically confirmed ESBLs. *Klebsiella pneumoniae* ATCC 700603 and *Escherichia coli* ATCC 25922 were used as quality control strains \[[@CR21]\].

DNA extraction and PCR amplification {#Sec9}
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The DNA of phenotypically confirmed ESBL-EC was isolated by using the boiling method, on 2--3 colonies grown on nutrient agar. The colonies were suspended in 100 μl of sterile water, and the suspensions were boiled for 15 min, cooled to 4 °C, and then, subsequently centrifuged for 30 s at 12 000 × g. The supernatant served as a source of DNA template for the PCR, while the specific oligonucleotide primers for *bla*~TEM~, *bla*~SHV~, *bla*~CTX-M~, *bla*~OXA,~ and *E. coli* were used for amplifications of these *bla*-genes and *E. coli*. Furthermore, MyTaq Protocol (BIOLINE) was used as standard for the PCR reactions and amplification. The sizes of *bla*~CTX-M~, *bla*~TEM~, *bla*~SHV~, *bla*~OXA,~ and *E. coli* amplicons are shown in Table [1](#Tab1){ref-type="table"}, using *K. pneumoniae* ATCC 700603 and EC1003-1 as positive controls. The amplified products were separated by gel electrophoresis on 1.5 % agarose gels stained with ethidium bromide.Table 1PCR primers used for the detection β -lactamase encoding genesTarget genePrimerSequence (5′ -- 3′)Size of product (bp)GenBank accession no*bla* ~SHV~ForwardCAATCACGACGGCGGAATCT168AB731686ReverseGTGGGTCATGTCGGTACCAT*bla* ~CTX-M~ForwardAAGCACGTCAATGGGACGAT402JN411912ReverseGTTGGTGGTGCCATAGCCA*bla* ~TEM~ForwardTCCTTGAGAGTTTTCGCCCC643EU352903ReverseTGACTCCCCGTCGTGTAGAT*bla* ~OXA~ForwardTTGCACTTGATAGTGGTGTGA250JN003412ReverseAGTGAGTTGTCAAGCCAAAAAGT*E. coli*ForwardTGACGTTACCCGCAGAAGAA832X80724ReverseCTCCAATCCGGACTACGACG

Questionnaire design and definition of terms {#Sec10}
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A questionnaire was developed as an instrument to gather information and data for the risk factors analysis. The items were derived from literature search, interviews, and focus group discussions with local veterinarians and representative of butchers. The questionnaire was further evaluated by the research team for face validation. In order to evaluate the adequacy of the instrument content, the questionnaire was further assessed by five experts in the field for content validity. On top of that, the instrument was refined and pilot tested. Unclear items were finally dropped, while items with overlapping meaning were merged together as single items.

### Sanitation of the stall environment {#Sec11}

Stall sanitation is classified into three hygiene categories, namely good, fair, and poor. A stall with clean floor, clean countertop, and absence of flies is considered as good; while those with either clean floor/clean counter top, in the absence of flies is considered as fair hygiene; and those with only one of the three characteristics is considered as poor hygiene.

### Type of countertop {#Sec12}

Refers to the type of material used as benchtop/working-surface, as there are four types of countertop, namely wooden, tile, plastic-sheet, and stainless-steel.

### Source of cleaning water {#Sec13}

Butchers mainly obtain water either directly from running-tap or from a water container, which they use for washing hands, as well as sanitising utensils, equipment, and other contact surfaces throughout the meat selling/processing period.

### Type of cutting board/instrument {#Sec14}

Refers to the type of material used by butchers as chopping-block. Two types of cutting boards were identified, namely rubberwood (wooden), polyethylene cutting board (plastic); and the cutting instrument was an electric meat cutter made of stainless steel.

Statistical analysis {#Sec15}
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Data were analysed by using SPSS version 20. chi-square test was used to compare the prevalence; whereas the relationship between potential risk factors and detection of ESBL-EC was explored by using univariate logistic regression at 95 % confidence interval (95 % CI). However, only factors that were found to be significantly associated with detection of ESBL-EC had been included in the multivariate logistic regression model for estimation of their odds ratio at 95 % CI.

Results {#Sec16}
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Spatial distribution of ESBL-EC {#Sec17}
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A total of 240 samples were collected in wet-markets within eight districts of Selangor from July −2012 to February 2013. The overall prevalence of ESBL-EC was 48.8 % (95%CI, 42 -- 55 %), although the difference in prevalence was not statistically significant between the districts (*χ*2 = 6.921, *df* = 7, p = .437) with chi-square test at 95 % confidence interval (95 % CI). Stalls in the district of Hulu Selangor were shown to have the highest prevalence at 66.7 %. while moderate prevalence was observed in Hulu Langat at 56.7 % and Kuala Selangor at 50 %. Nevertheless, the lowest prevalence was found in Klang at 46.7 %, Sepang at 46.7 %, Petaling at 43.3 %, Gombak at 40 %, and Kuala Langat at 40 % (Fig. [1](#Fig1){ref-type="fig"}; Table [2](#Tab2){ref-type="table"}).Fig. 1Choropleth map of spatial distribution of ESBL-EC in Selangor, MalaysiaTable 2Prevalence of ESBL-EC at retail poultry meat wet-marketsDistrict areaNo. of samplesNo. of positive samplesPrevalence %Hulu Selangor302066.7Hulu langat301756.7Kuala Selangor301550.0Klang301446.7Sepang301446.7Petaling301343.3Gombak301240.0Kuala Langat301240.0Total ESBL24011748.8

However, when the occurrence of ESBL-EC in meat was compared to that of the contact surfaces, the meat samples displayed higher occurrence rate of 53.8 % compared to contact surfaces at 38.8 % (Fig. [2](#Fig2){ref-type="fig"}; Table [3](#Tab3){ref-type="table"}).Fig. 2Choropleth map of variation in spatial distribution of ESBL-EC between meat (**a**) and contact surfaces (**b**) in Selangor, MalaysiaTable 3Variation in the prevalence of ESBL- EC between meat and its contact surfacesDistrict areaESBL- EC in poultry meatESBL- EC in contact surfacesNo. of samplesPrevalence %No. of samplesPrevalence %Hulu Selangor2075.01050.0Hulu Langat2065.01040.0Gombak2055.01010.0Kuala Selangor2055.01040.0Klang2050.01040.0Kuala Langat2045.01030.0Sepang2045.01050.0Petaling2040.01050.0Total ESBL16053.88038.8

Furthermore, more than 50 % of the meats sampled were contaminated with ESBL-EC; the highest occurrence was in breast, wing, and thigh with proportions of 65, 52, and 50 % respectively. Keel and weighing scale had moderate rates, while cutting board/instrument had rather lower rates at 47.5, 40, and 37.5 % respectively (Table [4](#Tab4){ref-type="table"}).Table 4Occurrence of ESBL- EC within samples collectedSource of sampleNo of samplesNo. of positive samplesProportion of positive (%)95 % CILowerUpperBreast402665.05080Wing402152.53669Thigh402050.03466Keel401947.53164Weighing scale401640.02456Cutting board401537.52253Total24011748.84255

Risk factors associated with ESBL-EC contamination {#Sec18}
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Univariable logistic regression model indicated four factors that had the likelihood of causing ESBL-EC contamination, at *p*-value less than 0.05, which included stall sanitation, type of counter top, source of cleaning water, and type of cutting board/instrument (Table [5](#Tab5){ref-type="table"}).Table 5Univariable and multivariable factors associated with ESBL-EC at retail poultry meat wet-marketsVariablesUnivariable analysisMultivariable analysisOR^a^95 % CI^b^OR^a^95 % CI^b^Stall sanitation Poor6.0443.007--12.148\*\*3.1221.319--7.391\* Fair2.3461.154--4.770\* Good1.00RefType of counter top Wooden counter8.1252.509--26.311\*\*3.7891.045--13.741\* Tiles counter4.2122.134--8.314\*\* Plastic sheet3.6931.660--8.216\*\* Stainless steel counter1.00RefSource of cleaning water Container water3.1711.212--8.297\* Tap water1.00RefType of cutting board/instrument Wooden5.5002.049--14.763\* Plastic2.4191.015--5.763\* Stainless steel cutter1.00RefWearing working attire No1.352.417--4.384 Yes1.00RefButchers sanitation Poor2.000.354--11.296 Fair1.849.324--10.548 Good1.00RefUse of PPE Poor1.400.403--4.862 Fair1.333.406--4.373 Good1.00RefRef = Reference variable\**p*-value less than 0.05, \*\**p*-value less than 0.001^a^ Odds Ratio^b^ 95 % Confidence interval

However, based on the multivariable logistic regression model, only two factors significantly predicted ESBL-EC contamination, which were stall sanitation, and type of countertop (Table [5](#Tab5){ref-type="table"}).

Discussion {#Sec19}
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The distribution of ESBLs has been found to be varied worldwide, with Asia having the highest prevalence \[[@CR22]\]. Base on study for Monitoring Antimicrobial Resistance Trends (SMART) in 2007, Asia-Pacific Region reported highest prevalence of ESBL-EC in India, China, and Thailand at 79.0, 55.0, and 50.8 % respectively. Meanwhile, moderate distribution of ESBLs was discovered in Vietnam, Singapore, and South Korea, at 34.4, 33.3 and 22.7 % respectively, and the least from Hong Kong, Philippines, Taiwan, Australia, and New Zealand at 17.8, 17.0, 12.7, 7.7, and 3.2 % respectively \[[@CR23]\]. In Malaysia, Hashim et al. \[[@CR10]\] reported 73.7 % of ESBL- *K. pneumonia* and 8.8 % of ESBL-EC among drug resistant bacteria isolated from the largest Malaysian tertiary referral hospital \[[@CR10]\].

Environment, workers, equipment, and contaminated chicken were reported to be the major sources of meat contamination at retail outlets mainly due to improper hygiene practices and poor environmental sanitation. These factors favour the survival, proliferation, dissemination, and cross-contamination of retail meat and its environment with microbial agents \[[@CR24]--[@CR26]\]. At retail stalls, raw and packaged chicken drips continue to seep around stall environment, hence cross-contaminating meat, countertop, other contact surfaces, as well as floor \[[@CR26], [@CR27]\], more so, it might increase chances of occupational exposure especially via accidental cuts from contaminated utensils. Studies also have shown that thorough cleaning and regular disinfecting meat processing environment serves as important factor in reducing the risk of cross-contamination within meat processing environment \[[@CR28], [@CR29]\].

The present study had investigated the role of environmental sanitation in the likelihood of the occurrence of ESBL-EC on the meat. At univariate logistic model, it was found that stalls with poor sanitary environment were 6 times more at risk of ESBL-EC contamination in comparison to those with good hygiene (OR 6.044, 95 % CI = 3.007--12.148), while those with fair hygiene had twice the risk in contrast to those with good hygiene environment (OR 2.346, 95 % CI = 1.154 -- 4.770). Apart from the above mentioned cross-contamination factors that may favour the observed occurrence, most of these chicken meats were placed on countertop without being chilled, such as using ice. Thus, the warm condition favours the survival and the multiplication of ESBL-EC, which can remain infectious for a long period even under adverse environmental condition \[[@CR27], [@CR30]\].

In addition, working surface or countertop has also been shown to play an important role in the dissemination of microorganisms at processing and retailing outlets. The question is what type of countertop surface material poses greater risk to food in relation to cross-contamination? and this depends on the availability of both intrinsic and extrinsic factors that allow bacterial survival, growth, and proliferation on the surface material \[[@CR31], [@CR32]\]. At univariate logistic model, the current study found that vendors who used working surfaces or countertops made of wooden material had 8.1 times the risk of contamination with ESBL-EC compared to stainless steel (OR 8.125, 95 % CI = 2.509 -- 26.311), while tiles countertops had 4.2 times the risk of ESBL-EC contamination than stainless steel (OR 4.212, 95 % CI = 2.134 -- 8.314). Nonetheless, the plastic-sheet covered countertop showed to have 3.7 times more risk of contamination than stainless-steel (OR 3.693, 95 % CI = 1.660 -- 8.216).

In fact, both cutting board and working surface/countertop were reported to share similar factors in terms of cross contamination liability; these factors included board materials, scoring (degree of roughness) on the cutting/contact surfaces and its level of contamination, type of pathogen, part of the chicken and meat temperature during retailing, meat pH level, and water activity \[[@CR31], [@CR33]--[@CR35]\]. The present study also found that the cutting-board material played significant role in the occurrence of ESBL-EC when using stainless steel cutting-instrument as reference model for comparison. At univariate logistic model, the wooden cutting board was found to have the highest risk of ESBL-EC contamination, at 5.5 times the risk compared to stainless steel (OR 5.50, 95 % CI = 2.049 -- 14.763), while plastic cutting board had twice the risk of contamination than the stainless steel cutting-instrument (OR 2.419, 95 % CI = 1.015 -- 5.763).

Additionally, one of the unhygienic practices that was revealed worth reporting is the source of water for washing hands and cleaning utensil during retailing. Majority of the meat vendors are using the same water placed in a container to wash their hands and utensils throughout the retailing period, thus the contaminated water continued to contaminate subsequent meat, contact surfaces and processing environment. At univariate logistic model, the present study found that meat vendors who used the same contaminated water for cleaning purpose had thrice the risk of causing cross-contamination compared to those who used direct water from the tap (OR 3.171, 95 % CI = 1.212 -- 8.297).

Apart from temporal ambiguity associated with cross-sectional study design, additional limitation of the current study is the lack of data from human sample. This may provide additional information to the observed phenomenon, although attempt has been made to collect rectal swabs from the butchers, but they were reluctant to volunteer.

Conclusion {#Sec20}
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Identifying risk factors associated with various components of poultry meat retailing can provide a scientific basis for designing effective risk communication and management strategy. Hence, the results obtained from this study suggest that veterinary/public health intervention needs to focus on promoting good personal hygiene, water and stall sanitation; poster teaching about cross contamination, proper cleaning and disinfecting work surfaces; encouraging the use of stainless steel countertop and plastic cutting board or stainless-steel cutting instrument; and meat handlers need to be educated on the global burden of foodborne diseases as well as its impact upon trade and development.

Abbreviations {#Sec21}
=============

ANOVA, analysis of variance; CLSI, clinical and laboratory standards institute; DNA, deoxyribonucleic acid; GDP, gross domestic product; PCR, polymerase chain reaction; SMART, study for monitoring antimicrobial resistance trends; USDA, United States department of agriculture; WHO, world health organization

Additional file {#Sec22}
===============

Additional file 1:Logistic regression tables for the factors associated with ESBL-EC at retail poultry meat wet-market. (DOCX 17 kb)

My special gratitude to Puan Fauziah Nordin of Veterinary Public Health Laboratory, Universiti Putra Malaysia for the kind support towards successful completion of this research.

Funding {#FPar1}
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This study was funded by Research University Grant scheme (RUGS), Universiti Putra Malaysia, the research group project no. 01 -- 02 -- 12 -- 1669RU.

Availability of data and material {#FPar2}
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The datasets supporting the conclusions of this article are included within the article and its Additional file [1](#MOESM1){ref-type="media"}.

Authors' contributions {#FPar3}
======================

ABA designed the study, conducted the research, data analysis and interpretation and drafted the manuscript. SAA conceived the study, provided funding, supervised the study, helped in drafting and approved the final draft. JA and ZZ co-supervised the study, and helped in acquiring the data and deciding upon the study design. All authors have read, contributed and approved the final manuscript.

Competing interests {#FPar4}
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The authors declare that they have no competing interests.

Consent for publication {#FPar5}
=======================

Not applicable.

Ethics approval and consent to participate {#FPar6}
==========================================

Exempted by Ethics Committee for Research Involving Human Subjects, Universiti Putra Malaysia, and Institutional Animal Care and Use Committee, Universiti Putra Malaysia.
