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Article

Not All Street Food Is Bad: Low Prevalence of Antibiotic-Resistant Salmonella enterica in Ready-to-Eat (RTE) Meats in Ghana Is Associated with Good Vendors’ Knowledge of Meat Safety

1
Department of Animal Science, University for Development Studies, Tamale P.O. Box TL 1882, Ghana
2
Department of Veterinary Science, University for Development Studies, Tamale P.O. Box TL 1882, Ghana
3
Antimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Durban 4001, South Africa
4
Faculty of Food Science and Nutrition, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu 88400, Sabah, Malaysia
5
Department of Food Science, Faculty of Agriculture, Universitas Sebalas Maret, Surakarta 57126, Central Java, Indonesia
*
Authors to whom correspondence should be addressed.
Submission received: 14 March 2021 / Revised: 19 April 2021 / Accepted: 28 April 2021 / Published: 6 May 2021
(This article belongs to the Special Issue Microbiological Safety and Quality of Food)

Abstract

:
Foodborne infections due to the consumption of meat is a significant threat to public health. However, good vendor and consumer knowledge of meat safety could prevent meat contamination with and transmission of foodborne pathogens like Salmonella. Thus, this study investigated the vendor and consumer perception, knowledge, and practices of meat safety regarding ready-to-eat (RTE) meat and how this affected the prevalence and antibiotic susceptibility of Salmonella enterica in RTE meats in the streets of Ghana. A semi-structured questionnaire was used to obtain the demographics, knowledge, and practices of meat safety data from RTE meat vendors (n = 300) and consumers (n = 382). Salmonella enterica detection was done according to the United State of America (USA)-Food and Drugs Administration (FDA) Bacteriological Analytical Manual. The disk diffusion method was used for antibiotic resistance testing. The results revealed that most of the respondents had heard of meat safety (98.3% vendors, 91.8% consumers) and knew that meat could be contaminated by poor handling (100.0% vendors, 88.9% consumers). The respondents knew that regular hand washing reduced the risk of meat contamination (100.0% vendors, 94.0% consumers). Responses to the practices of meat safety by vendors were generally better. A very low Salmonella enterica prevalence was observed in the samples, ranging between 0.0 and 4.0% for guinea fowl and beef, respectively. However, the six isolates obtained were resistant to five of the nine antibiotics tested, with all isolates displaying different resistance profiles. Overall, the good knowledge and practice of meat safety demonstrated by the respondents corroborated the negligible prevalence of Salmonella in this study, reiterating the importance of vendor meat safety knowledge. However, the presence of resistant Salmonella enterica in some of the meat samples, albeit in a very low prevalence, warrants stricter sanitary measures and greater meat safety awareness in the general population to prevent meat-borne infections and potential transmission of drug-resistant bacteria to humans.

1. Introduction

Meat is consumed by many people worldwide, probably because of its good taste and nutritive value. It has a high biological value and is easily absorbed and incorporated into human body proteins [1]. However, it also serves as a suitable medium for bacterial growth and is a major contributor to foodborne diseases [2,3]. The predominant foodborne bacterial species that have frequently been associated with meat include Salmonella enterica, Escherichia coli, Campylobacter species, Clostridium species, Staphylococcus aureus, Listeria monocytogenes, Bacillus cereus, Shigella spp., Vibro parahaemolyticus, and Yersinia spp. [4,5,6,7,8]. These organisms are linked to several human illnesses and deaths annually [5,9,10,11,12]. The World Health Organization estimated that 600 million people fall ill after eating contaminated food, and 420,000 die every year as a result [11]. Additionally, USD 110 billion is lost each year in productivity and medical expenses due to the consumption of unsafe foods.
The European Food Safety Authority and European Center for Disease Prevention and Control [5] indicated that out of 5079 food/waterborne outbreaks, Salmonella was the most common bacterium detected. Furthermore, Salmonella species from meat, meat products, and eggs were the highest risk source. A review by Omer et al. [12] on bacterial foodborne outbreaks related to red meat and meat products between 1980 and 2015 showed that Salmonella species caused 21 outbreaks, mostly in Europe and the United States of America. Salmonellae are responsible for millions of cases of enteric diseases, thousands of hospitalizations, and deaths worldwide each year [5,12]. Ninety-six (96) Salmonella outbreaks associated with beef were reported by Laufer et al. [13] in the United States.
The intensive use of clinically relevant antimicrobials in human and veterinary medicine for different purposes such as therapeutics, prophylactics, and growth promotion has increased the emergence and wide spread of antibiotic-resistant foodborne bacteria [14]. Foods contaminated with antibiotic-resistant bacteria are a major challenge to public health and have a deleterious impact on public health interventions [15]. Epidemiological data associated with the incidence of Salmonella and its antimicrobial resistance pattern is essential to develop an efficient mechanism toward its control at every level of the food processing and production chain to ensure food safety and public health [16].
Rane [17] indicated that street-vended foods are usually associated with foodborne diseases. Street ready-to-eat (RTE) meat vending is popular in the Bolgatanga Municipality of Ghana. The trade makes a significant contribution to the protein intake of the habitants of Ghana. However, the knowledge of RTE meat vendors/consumers on meat safety and how this could affect the level of microbial contamination of street-vended food have not been well established. There is also limited information on whether RTE meats produced in Ghana are contaminated by bacteria or contain resistant bacterial species. This paucity of information has created the overall perception that all street vended RTE meat is not safe for consumption, causing significant economic loss for people who make a living from this trade. Therefore, to sustain the livelihood of RTE meat vendors, while ensuring the health safety of consumers, this study investigated vendor and consumer perception, knowledge, and practices of meat safety regarding ready-to-eat (RTE) meat and how this affected the prevalence and antibiotic susceptibility of Salmonella enterica in RTE meats on the streets of Ghana.

2. Materials and Methods

2.1. Study Area

The study was conducted in Bolgatanga, the regional capital of the Upper East Region of Ghana. It is bordered to the north by the Bongo District, south and east by the Talensi and Nabdam Districts, and to the west by the Kassena/Nankana Municipality. Bolgatanga lies between latitudes 10°30′ and 10°50′ N and longitudes 0°30′ and 1°00′ W [18]. It is entirely urban and has a population of 66,685 [18].

2.2. Study Design, Population, and Questionnaire Administration

A descriptive survey was conducted using a semi-structured questionnaire (Supplementary Materials) to obtain information from grilled ready-to-eat (RTE) meat vendors and consumers on their knowledge and hygienic meat safety practices. Simple random sampling was used to select RTE meat vendors and consumers. All RTE meat vendors (n = 300) identified in the Bolgatanga Municipality were interviewed. For RTE meat consumers, the sample size was obtained by querying the population of Bolgatanga in the Sample Size Calculator [19]; and at a confident level of 95%, a sample size of 382 was obtained. The questionnaires used were developed according to comprehensive food safety literature reviews and divided into three main sections: demographic characteristics, knowledge on meat safety, and hygiene practices (Supplementary Materials).

2.3. Microbial Load

The microbial load was done according to Maturin and Peeler [20]. Briefly, an area of 10 cm2 of RTE (from approximately 25 g of a meat portion) beef, chevon, chicken, guinea fowl, mutton, or pork was swabbed. The swab was added to 9 mL of 0.1% buffered peptone water and homogenized for 2 min. Subsequently, decimal serial dilutions from 10−1 to 10−4 were made and plated on duplicate plate count agar. The plate count agar was incubated aerobically at 37 °C for 24 h. All media used were purchased from Oxoid Limited, Basingstoke, UK.

2.4. Isolation of Salmonella Enterica

A total of 300 RTE meat swab samples made up of beef (n = 50), chevon (n = 50), chicken (n = 50), guinea fowl (n = 50), mutton (n = 50), and pork (n = 50) were randomly collected aseptically from RTE meat vendors in the Bolgatanga Municipality from January to December 2019 and examined for the presence of Salmonella enterica. The isolation of Salmonella enterica was done according to the USA-FDA Bacteriological Analytical Manual [21]. Swabs were pre-enriched in buffered peptone water and incubated aerobically at 37 °C for 24 h. Afterward, they were enriched in Rappaport-Vassiliadis (incubated at 42 °C for 24 h) and selenite cystine (incubated at 37 °C for 24 h) broths. Aliquots from Rappaport-Vassiliadis and selenite cystine broths were streaked on xylose lysine deoxycholate and brilliant green agar. Salmonella enterica were confirmed using Gram stain, triple sugar iron agar, lysine iron agar, and Salmonella latex agglutination test. All incubations were done aerobically, and media used were purchased from Oxoid Limited, Basingstoke, UK.

2.5. Antibiotic Resistance Test

The disc diffusion method of Bauer et al. [22] was used for the antibiotic-resistant test. The Salmonella enterica isolates were examined against amoxycillin/clavulanic acid 30 µg (AMC), azithromycin 15 µg (AZM), ceftriaxone 30 µg (CRO), chloramphenicol 30 µg (C), ciprofloxacin 5 µg (CIP), gentamycin 10 µg (CN), teicoplanin 30 µg (TEC), tetracycline 30 µg (TE), and sulfamethoxazole/trimethoprim (SXT) antibiotics. The isolates were grown in trypticase soy broth and incubated aerobically at 37 °C for 18 h, after which, it was adjusted to 0.5 McFarland solution and spread plated on Muller Hinton agar. Five or four antibiotic discs were placed on the surface of the Muller Hinton agar plates and incubated aerobically at 37 °C for 24 h. The inhibition zones were measured, and the results were interpreted as sensitive, intermediate, or resistant according to the Clinical and Laboratory Standards Institute guidelines [23]. All media and antibiotic discs were purchased from Oxoid Limited, Basingstoke, UK.

2.6. Statistical Analysis

Data collected were analyzed using the Statistical Package for Social Sciences version 20 (IBM, Armonk, NY, USA). The total aerobic plate count was log-transformed and analyzed using one-way ANOVA of GenStat 12.2 Release 12.1 (Copyright) 2009, and means were separated using standard error of means. Chi-Square test (χ2) was used to determine the relationships between some of the parameters, and significant differences were considered when p ≤ 0.05. Analyzed results were presented in frequencies and percentages in tables.

3. Results

3.1. Demographic Characteristics of Ready-to-Eat (RTE) Meat Vendors and Consumers

The demographic characteristics of the grilled ready-to-eat (RTE) meat vendors and consumers is shown in Table 1. The knowledge of RTE meat vendors and consumers in meat safety and contamination, and their responses to hygienic practices is shown in Table 2 and Table 3, respectively. The majority of the RTE meat vendors and consumers were males (97.7% and 71.7%), aged between 21–40 years (77.3% and 65.4%), and had basic education (73.7% and 54.2%), respectively. The gender of RTE meat vendors did not influence the type of RTE product sold (X2 = 9.490a; df = 5, p = 0.091) and hearing of meat safety (X2 = 0.121a; df = 1, p = 0.727), but not the source of meat for sale (X2 = 24.474a; df = 2, p = 0.000). The gender of RTE meat consumers had an influence on the type of RTE meat preferred (X2 = 28.365a, df = 4, p = 0.00), but not hearing of meat safety (X2 = 0.861a, df = 3, p = 0.835) and knowing that meat can be contaminated by poor handling (X2 = 1.936a, df = 2, p = 0.380). The age of RTE meat vendors influenced the type of RTE meat sold (X2 = 60.770a, df = 10, p = 0.000), but not hearing of meat safety (X2 = 0.049a, df = 2, p = 0.976) and the source of meat for sale (X2 = 9.448a, df = 4, p = 0.051). The age of RTE meat consumers influenced the type of RTE product preferred (X2 = 31.389a; df = 12 and p = 0.002), but not hearing of meat safety (X2 = 2.472a; df = 9, p = 0.982) and knowing that meat can be contaminated by poor handling (X2 = 3.327a, df = 6, p = 0.767). The educational level of RTE meat vendors did not influence the type of RTE meat preferred (X2 = 0.698a, df = 2, p = 0.705), hearing of meat safety (X2 = 0.698a, df = 2, p = 0.705), and knowing that meat can be contaminated by poor handling (X2 = 5.405a, df = 4, p = 0.248). The educational level of RTE meat consumers influenced the type of RTE meat preferred (X2 = 79.351a, df = 16, p = 0.000) and hearing of meat safety (X2 = 50.123a, df = 12, and p = 0.000), but not knowing that meat can be contaminated by poor handling (X2 = 9.022a, df = 8, p = 0.340).

3.2. Microbial Load and Prevalence of Salmonella Enterica in RTE Meats

The microbial load and prevalence of Salmonella enterica in the RTE meat samples is shown in Table 4. The microbial load was 4.17, 4.85, 4.02, 4.06, 2.53, and 3.37 log CFU/cm2 for mutton, chevon, pork, guinea fowl, chicken, and beef, respectively. RTE mutton (2.00%), chevon (2.00%), pork (2.00%), guinea fowl (4.00%), and chicken (2.00%) were positive for Salmonella enterica. Salmonella enterica was not detected in RTE beef (0.00%).

3.3. Prevalence and Antibiotic Resistance of Salmonella enterica Isolated from RTE Meats

A low prevalence of Salmonella enterica was observed in the RTE meat samples RTE mutton (2.00%), chevon (2.00%), pork (2.00%), guinea fowl (4.00%), and chicken (2.00%) were positive for Salmonella enterica. Salmonella enterica was not detected in RTE beef (0.00%).
The Salmonella enterica isolates showed resistance to amoxycillin/clavulanic acid, azithromycin, teicoplanin, and tetracycline, but susceptible to ceftriaxone, chloramphenicol, ciprofloxacin, and sulfamethoxazole/trimethoprim (Table 5 and Figure 1).
The antibiotic resistance profile and multiple antibiotic resistance (MAR) index of individual Salmonella enterica isolated from the RTE meats are shown in Table 6. Six different resistant profiles were observed. Multidrug resistance (resistant to three different antibiotics) was observed in 4/6 isolates, with MAR index ranging from 0.22 to 0.56.

4. Discussion

The observance of meat safety is essential to reduce the incidence of foodborne diseases associated with contaminated meats. This study showed that meat vendors and consumers had a relatively good knowledge of meat safety, which was reflected in the low prevalence of Salmonella in the samples analyzed.
Most of the grilled ready-to-eat (RTE) meat vendors and consumers were males, youth, and had their education up to the primary level. Similarly, it has been reported that the meat selling business is dominated by males, young people, and people with a low level of education [24,25,26,27,28].
The gender and age of the RTE meat vendors influenced where they bought meat for sale and the type of RTE meat sold, respectively. Most RTE meat vendors bought their meat from the abattoir and sold RTE pork, mutton, guinea fowl, chevon, beef, and chicken. The majority of the RTE meat vendors had received training in meat safety. This was reflected in their knowledge of meat safety since they were aware that meat could be contaminated by poor handling, and regular handwashing could reduce the risk of contamination. The majority also knew it was necessary to take leave from work when infected with a skin disease, refrigerate leftover meat, and that eating and drinking while selling meat increased the risk of meat contamination. It is worth noting that apart from Ghanaians (who formed the majority), other nationalities such as Burkinabe’s, Malians, and Nigeriens were also involved in the RTE meat vending business. Most of the RTE meat vendors owned one shop, had between 1–10 years of working experience, sold RTE meats based on consumer preference, and full-time basis. Adzitey et al. [28] reported that most meat sellers had heard about meat safety, but had no training in meat safety. Additionally, they obtained their meat from the abattoir, knew that eating contaminated meat could cause meat-borne disease, and took leave from work when infected with any disease.
The gender, age, and education of RTE meat consumers influenced the type of RTE meat preferred. The majority preferred RTE guinea fowl due to its good taste. Besides taste, the cost, safety, availability, and healthiness of the meat type contributed to the choice for a particular RTE meat. The educational level of RTE meat consumers influenced awareness of meat safety. Most RTE consumers had heard about meat safety and knew that meat could be contaminated by poor handling and reduced when vendors washed their hands regularly. The RTE meat consumers often consumed RTE meat once a week, mostly when they went out with friends. Adesokan and Raji [24] reported that meat handlers had good knowledge of safe meat handling. They also indicated that elderly meat handlers with higher educational levels and many years of working experience were more likely to understand better meat safety than younger ones with non-formal education and less working experience. Sulleyman et al. [27] found that most meat sellers had information on meat safety from relevant stakeholders, knew that eating contaminated meat could cause foodborne illness, but did not know the type of illness caused by eating contaminated meat.
The majority of RTE meat vendors obtained their meat from the abattoir due to its safety and quality. They also wash their cutting tables at the beginning and the end of work and disinfect their shops twice a week with isopropyl alcohol. They also sterilize their cutting tools and other equipment daily. Most RTE meat vendors wore aprons, which they washed daily, wore gloves sometimes, and did not smoke. Tegegne and Phyo [25] observed that all meat handlers knew about proper meat handling and hand washing, but this did not translate into strict food hygiene practices. A study by Adesokan and Raji [24] revealed that age, gender, education, and work experience were significantly associated with the level of safe meat handling by meat handlers. Meat handlers from private processing plants had better practices than those from government processing plants [24]. Adzitey et al. [26] reported that some meat sellers wore an apron while selling meat, and most of them washed their cutting tables and knives at the beginning and end of work each day.
This study revealed the presence of microbes in the RTE meats examined. Microbial contamination was highest for RTE chevon, mutton, guinea fowl, and pork, followed by RTE beef and chicken. RTE meats in Ghana are prepared using adequate heat, which can destroy all microbes. However, cross-contamination is possible due to improper personal hygiene and handling after preparation. The Ghana Standard Authority [29] recommends that microbial contamination for grilled meat should be <5 log cfu/g. This implies that all the RTE meats met the acceptable limit set by the Ghana Standard Authority. The microbial load observed in this study is also satisfactory [30,31]. Ampaw [31] reported microbial contamination of 4.732–7.267 log CFU/g in kebabs vended on the streets of Accra, Ghana. Agbodaze et al. [32] reported microbial contamination of 5.02 log cfu/g for grilled RTE meat samples bought from Osu, Nima, and Accra Central and attributed it to poor hygiene and sanitary measures adapted by RTE meat vendors. Therefore, the lower microbial load recorded in the current study indicates the impact of the vendors’ excellent meat safety knowledge on meat quality.
Salmonella enterica was detected in 2.0% (1 isolate each from RTE mutton, chevon, pork, and chicken, and two isolates from RTE guinea fowls) of the RTE meat samples examined. According to the Center for Food Safety [30], Salmonella should not be detected in 25 g of RTE meat samples; therefore, the six RTE meat samples in the present work can be described as unsatisfactory. This contamination occurred due to cross-contamination from faulty handling, especially after grilling the RTE meats. However, 98% of the RTE meats in this study were satisfactory and safe to eat regarding Salmonella contamination and subsequent infection. This study was in accordance with previous studies [33,34,35,36]. Terentjeva et al. [36] did not detect Salmonella in RTE meat samples examined in Latvia. Salmonella was detected in 1.5% RTE frozen chicken croquettes from Spain [34], 1.1% RTE Turkey meat products from the USA [33], and 0.64% RTE meat products from China [35]. In raw or fresh meat, Thai et al. [37] found that pork (39.6%) and chicken (42.9%) in Vietnam were contaminated with Salmonella species. Khaitsa et al. [33] reported a prevalence of 4.1% for Salmonella species in raw turkey collected from retail outlets in the USA. In South Africa, Mokgoph et al. [38] observed that 64.9% of chickens were positive for Salmonella species. Salmonella species were detected in 1.5% of minced meat and meat preparations, but were not detected in frozen meat (0.0%) in Latvia [36]. A study conducted in Serbia found no Salmonella species in RTE meats, albeit found them in meat preparations (7.0%) and minced beef (18.0%) [39]. Other Gram-negative bacteria such as E. coli, Klebsiella species, Campylobacter species, Pseudomonas species, and Proteus species have been reported in RTE meats [40,41,42]. The antibiotic resistance results indicated resistance to amoxicillin/clavulanic acid, azithromycin, and teicoplanin. The development of antibiotic resistance by bacteria has been linked to their misuse in animal production and treatment of animals [13,14,36]. This implies that the antibiotic resistance observed in the current study could be due to such use in animal production in the study area, and proper cooking is advised to eliminate any potential bacterial contamination. The resistance could also be from human contamination, which may be linked to the smaller percentage of respondents that did not observe proper meat safety measure. This finding suggests that food safety measures need to be strictly implemented, as even minute acts of negligence could result in meat contamination. Several studies conducted elsewhere have previously reported a high percentage of resistance in Salmonella isolated from different meat sources. For example, Terentjeva et al. [36] reported that Salmonella isolates from meat and meat products were resistant to sulfamethoxazole (40.0%), ciprofloxacin (25.0%), and tetracycline (20.0%), but were susceptible to azithromycin (100.0%). Comparatively, this study found a higher resistance to azithromycin and tetracycline, but not ciprofloxacin and sulfamethoxazole/trimethoprim. Similar to this study’s results, Harakeh et al. [43] found that Salmonella species isolated from meat-based fast foods showed 100.0% resistance to teicoplanin. According to Khaitsa et al. [33], 86.0% of Salmonella isolates from RTE meats exhibited multidrug resistance. According to Terentjeva et al. [36], 62.0% of Salmonella species isolated from meat and meat products in Latvia were resistant to at least one antimicrobial agent. Additionally, 25.0% the isolates were resistant to ciprofloxacin, 20.0% to tetracycline, and 0.0% to azithromycin [36]. This study found lower resistance to ciprofloxacin, but not tetracycline and azithromycin. In South Africa, Salmonella species from chicken carcass swabs were resistant to amoxycillin/clavulanic acid (3.7%), chloramphenicol (0.0%), ciprofloxacin (0.0%), gentamycin (0.0%), and sulfamethoxazole/trimethoprim (0.0%), while those from carcass drips were resistant to amoxycillin/clavulanic acid (7.4%), chloramphenicol (0.0%), ciprofloxacin (1.8%), gentamycin (5.8%), and sulfamethoxazole/trimethoprim (8.9%) [38]. Similar observations were made in this study except for the results for amoxycillin/clavulanic acid and gentamicin, which were higher in this study. Additionally, the Salmonella isolates exhibited resistance to one or more antibiotics, and the frequency varied among the type of samples (carcass swabs, cloacal swabs, and carcass drips) analyzed [38]. This concords with the present study. Salmonella species of chicken and pork origin from Vietnam were resistant to tetracycline (58.5%) and chloramphenicol (37.3%) [37]. Lower resistance to tetracycline and chloramphenicol occurred in this study. In Chile, Salmonella infantis from chicken meat was resistant to amoxycillin/clavulanic acid (3.5%), azithromycin (2.3%), ceftriaxone (67.8%), chloramphenicol (64.4%), ciprofloxacin (2.3%), gentamycin (11.5%), tetracycline (95.4%), and sulfamethoxazole/trimethoprim (49.4%) [44]. This study found higher resistance to amoxycillin/clavulanic acid, azithromycin, and gentamycin, but lower for the rest of the antibiotics tested. Salmonella species from meat preparations and minced beef were resistant to tetracycline (72.0%), gentamicin (8.0%), and sulfamethoxazole/trimethoprim (0.0%) [39]. The results for sulfamethoxazole/trimethoprim were similar to that of this study. However, tetracycline differed, with this study showing lower tetracycline and higher gentamicin resistance. While the antibiotic resistance percentages of this study may seem alarming, it should be noted that 98% of the samples analyzed in the current study were negative for Salmonella. Nevertheless, it is necessary to establish mechanisms to better communicate meat safety measures to meat vendors and the general population.

5. Conclusions

The ready-to-eat (RTE) meat vendors and consumers had relatively better knowledge of meat safety and observance of its practices. The microbial load on the RTE meats were within acceptable limits. Additionally, 98% of the samples analyzed were negative for Salmonella, and only six isolates were obtained from the remaining samples. Nevertheless, while the meat samples analyzed in this study were generally safe for consumption, regular surveillance of Salmonella enterica incidence in meat products, especially in grilled RTE, is essential and needed to ensure a continuous safe food supply. It is recommended that further research should characterize the Salmonella enterica isolates to determine their genetic relatedness and pathogenic potential. Furthermore, studies involving other municipalities and more female vendors would give a better picture of meat safety knowledge in the country and its impact on human health

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/article/10.3390/foods10051011/s1, Questionnaire for ready-to-eat (RTE) meat vendors.

Author Contributions

Conceptualization, All; Methodology, F.A., M.A., R.E., D.G.A., A.L.K.A., A.H.M.S., and N.H.; Software, F.A., M.A., R.E., D.G.A., A.L.K.A., G.A.T., and N.H.; Validation, F.A., D.G.A., A.L.K.A., and N.H.; Formal Analysis, F.A., M.A., and R.E., Investigation, F.A., M.A., and R.E.; Resources, F.A., M.A., G.A.T., D.G.A., A.L.K.A., A.H.M.S., and N.H.; Data Curation, F.A., M.A., D.G.A., A.L.K.A., and R.E., Writing-Original Draft Preparation, F.A.; Writing-Review & Editing, F.A., M.A., R.E., G.A.T., D.G.A., A.L.K.A., A.H.M.S., and N.H.; Supervision, F.A., G.A.T., and N.H.; Funding Acquisition, F.A., A.H.M.S., and N.H. All authors have read and agreed to the published version of the manuscript.

Funding

Grant for publication fee by Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia.

Institutional Review Board Statement

Not applicable as the study did not subject animals or humans to any treatment.

Informed Consent Statement

Not applicable as the study did not subject animals or humans to any treatment.

Data Availability Statement

All data have been included in the manuscript.

Acknowledgments

The authors are grateful to the University for Development Studies for allowing them to use the Spanish Laboratory, Nyankpala Campus for microbiological analysis, and the grilled ready-to-eat meat vendors and consumers who willingly took part in the survey.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the study’s design, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. Ahmad, R.S.; Imran, A.; Hussain, M.B. Nutritional Composition of Meat. 2018. Available online: https://www.intechopen.com/books/meat-science-and-nutrition/nutritional-composition-of-meat (accessed on 9 September 2020).
  2. Bintsis, T. Foodborne pathogens. AIMS Microbiol. 2017, 3, 529–563. [Google Scholar] [CrossRef] [PubMed]
  3. Ashwathi, P. Growth of Microorganisms in Meat. 2020. Available online: https://www.biologydiscussion.com/food-microbiology/growth-of-microorganisms-in-meat-microbiology/66131 (accessed on 9 September 2020).
  4. Anachinaba, I.A.; Adzitey, F.; Teye, G.A. Assessment of the microbial quality of locally produced meat (beef and pork) in Bolgatanga Municipal of Ghana. Internet J. Food Safe 2015, 17, 1–5. [Google Scholar]
  5. European Food Safety Authority and European Centre for Disease Prevention and Control. The European Union summary report on trends and sources of zoonoses, zoonotic agents and foodborne outbreaks in 2017. EFSA J. 2018, 16, 1–262. [Google Scholar]
  6. Tay, M.Y.F.; Adzitey, F.; Sultan, S.A.; Tati, J.M.; Seow, K.L.G.; Schlundt, J. Whole-genome sequencing of nontyphoidal Salmonella enterica isolates obtained from various meat types in Ghana. Microbiol. Res. Announc. 2019, 8, e00033-19. [Google Scholar] [CrossRef] [Green Version]
  7. Adzitey, F. Incidence and antimicrobial susceptibility of Escherichia coli isolated from beef (meat muscle, liver and kidney) samples in Wa Abattoir, Ghana. Cogent Food Agric. 2020, 6, 2–10. [Google Scholar] [CrossRef]
  8. Adzitey, F.; Ekli, R.; Aduah, M. Incidence and antibiotic susceptibility of Staphylococcus aureus isolated from ready-to-eat meats in the environs of Bolgatanga Municipality of Ghana. Cogent Environ. Sci. 2020, 6, 1791463. [Google Scholar] [CrossRef]
  9. Omer, M.K.; Álvarez-Ordoñez, A.; Prieto, M.; Skjerve, E.; Asehun, T.; Alvseike, O.A. A Systematic review of bacterial foodborne outbreaks related to red meat and meat Products. Foodborne Pathog. Dis. 2018, 15, 598–611. [Google Scholar] [CrossRef] [Green Version]
  10. Centers for Disease Prevention and Control. Burden of Foodborne Illness: Findings. 2020. Available online: https://www.cdc.gov/foodborneburden/2011-foodborne-estimates.html (accessed on 9 September 2020).
  11. World Health Organization. Food Safety. 2020. Available online: https://www.who.int/news-room/fact-sheets/detail/food-safety (accessed on 9 September 2020).
  12. US Food and Drug Administration. Foodborne Pathogens. 2020. Available online: https://www.fda.gov/food/outbreaks-foodborne-illness/foodborne-pathogens (accessed on 9 September 2020).
  13. Laufer, A.S.; Grass, J.; Holt, K.; Whichard, J.M.; Griffin, P.M.; Gould, L.H. Outbreaks of Salmonella infections attributed to beef—United States, 1973–2011. Epidemiol. Infect. 2015, 143, 2003–2013. [Google Scholar] [CrossRef] [Green Version]
  14. Marshall, B.M.; Levy, S.B. Food animals and antimicrobials: Impacts on human health. Clin. Microbiol. Rev. 2011, 24, 718–733. [Google Scholar] [CrossRef] [Green Version]
  15. Akbar, A.; Anal, A.K. Isolation of Salmonella from ready-to-eat poultry meat and evaluation of its survival at low temperature, microwaving and simulated gastric fluids. J. Food Sci. Technol. 2015, 52, 3051–3057. [Google Scholar] [CrossRef] [Green Version]
  16. Angkititrakul, S.; Chomvarin, C.; Chaita, T.; Kanistanon, K.; Waethewutajarn, S. Epidemiology of antimicrobial resistance in Salmonella isolated from pork, chicken meat and humans in Thailand. Southeast Asian J. Trop. Med. Public Health 2005, 36, 510–1515. [Google Scholar]
  17. Rane, S. Street vended food in developing world: Hazard analyses. Indian J. Microbiol. 2011, 51, 100–106. [Google Scholar] [CrossRef] [Green Version]
  18. Ghana Statistical Service (GSS). 2010 Population and Housing Census. 2012. Available online: www.statsghana.gov.gh/.../2010phc/Census2010_Summary_report_of_final_ results.p (accessed on 9 September 2020).
  19. Anonymous. Sample size Calculator. 2020. Available online: https://www.calculator.net/sample-size-calculator.html?type=1&cl=95&ci=5&pp=50&ps =66685 &x=39&y=22 (accessed on 23 August 2019).
  20. Maturin, L.; Peeler, J.T. Bacteriological Analytical Manual, Chapter 3, Aerobic Plate Count. 2001. Available online: https://www.fda.gov/food/laboratory-methods-food/bam-aerobic-plate-count (accessed on 23 August 2018).
  21. Andrews, W.H.; Wang, H.; Jacobson, A.; Hammack, T. Bacteriological Analytical Manual (BAM), Chapter 5: Salmonella enterica. 2018. Available online: https://www.fda.gov/food/laboratory-methods-food/bacteriological-analytical-manual-bam-chapter-5-Salmonella enterica (accessed on 23 August 2018).
  22. Bauer, A.W.; Kirby, W.M.M.; Sherris, J.C.; Turk, M. Antibiotic susceptibility testing by a standardized single disc method. Am. J. Clin. Pathol. 1966, 45, 493–496. [Google Scholar] [CrossRef]
  23. Clinical and Laboratory Standard Institute. Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated from Animals, Approved Standard, 3rd ed.; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2017. [Google Scholar]
  24. Adesokan, H.K.; Raji, A.O.Q. Safe meat-handling knowledge, attitudes and practices of private and government meat processing plants’ workers: Implications for future policy. J. Prev. Med. Hyg. 2014, 55, 10–16. [Google Scholar]
  25. Tegegne, H.A.; Phyo, H.W.W. Food safety knowledge, attitude and practices of meat handler in abattoir and retail meat shops of Jigjiga Town, Ethiopia. J. Prev. Med. Hyg. 2017, 58, E320–E327. [Google Scholar]
  26. Adzitey, F.; Sulleyman, K.W.; Mensah, S.S. Knowledge and practices of meat safety by meat sellers in the Kumasi Metropolis of Ghana. Res. Rev. J. Food Sci. Tech. 2018, 7, 31–41. [Google Scholar]
  27. Sulleyman, K.W.; Adzitey, F.; Boateng, E.F. Knowledge and practices of meat safety by meat sellers in the Accra Metropolis of Ghana. Inter. J. Vet. Sci. 2018, 7, 167–171. [Google Scholar]
  28. Adzitey, F.; Sulleyman, K.W.; Kum, P.K. Knowledge and practices of meat safety by meat sellers in the Tamale Metropolis of Ghana. Food Prot. Trends 2020, 40, 40–47. [Google Scholar]
  29. Ghana Standard Authority. Microbiological Criteria for Foods. Available online: https://www.gsa.gov.gh/standards/ (accessed on 9 September 2020).
  30. Centre for Food Safety. Microbiological Guidelines for Food. Available online: www.cfs.gov.hk (accessed on 9 September 2020).
  31. Ampaw, A.B. Prevalence of Listeria Monocytogenes in ‘Khebab’, a Street-Vended Spicy Grilled Meat. Master’s Thesis, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, 2018. [Google Scholar]
  32. Agbodaze, D.; Nmai, P.N.; Robertson, F.; Yeboah-Manu, D.; Owusu-Darko, K.; Addo, K. Microbiological quality of khebab consumed in the Accra metropolis. Ghana Med. J. 2015, 39, 46–49. [Google Scholar] [CrossRef]
  33. Khaitsa, M.L.; Kegode, R.B.; Doetkott, D.K. Occurrence of antimicrobial-resistant Salmonella species in raw and ready to eat turkey meat products from retail outlets in the Midwestern United States. Foodborne Pathog. Dis. 2007, 4, 517–525. [Google Scholar] [CrossRef]
  34. Cabedo, L.; Picart, B.L.; Teixidó, C.A. Prevalence of Listeria monocytogenes and Salmonella in ready-to-eat food in Catalonia, Spain. J. Food Prot. 2008, 71, 855–859. [Google Scholar] [CrossRef] [PubMed]
  35. Yang, S.; Pei, X.; Wang, G.; Yan, L.; Hu, J.; Li, Y.; Li, N.; Yang, D. Prevalence of foodborne pathogens in ready-to-eat meat products in seven different Chinese Regions. Food Control 2016, 65, 92–98. [Google Scholar] [CrossRef]
  36. Terentjeva, M.; Avsejenko, J.; Streikiša, M.; Utināne, A.; Kovaļenko, K.; Bērziņš, A. Prevalence and antimicrobial resistance of Salmonella in meat and meat products in Latvia. Ann. Agric. Environ. Med. 2017, 24, 317–321. [Google Scholar] [CrossRef] [PubMed]
  37. Thai, T.H.; Hirai, T.; Lan, N.T.; Yamaguchi, R. Antibiotic resistance profiles of Salmonella serovars isolated from retail pork and chicken meat in North Vietnam. Int. J. Food Microbiol. 2012, 156, 147–151. [Google Scholar] [CrossRef] [PubMed]
  38. Mokgophi, T.M.; Gcebe, N.; Fasina, F.; Adesiyun, A.A. Antimicrobial resistance profiles of Salmonella isolates on chickens processed and retailed at outlets of the informal market in Gauteng Province, South Africa. Pathogens 2021, 10, 273. [Google Scholar] [CrossRef] [PubMed]
  39. Rašeta, M.; Mrdović, B.; Janković, V.; Bečkei, Z.; Lakićević, B.; Vidanović, D.; Polaček, V. Prevalence and antibiotic resistance of Salmonella spp. in meat products, meat preparations and minced meat. IOP Conf. Ser. Earth Environ. Sci. 2017, 85, 12028. [Google Scholar] [CrossRef] [Green Version]
  40. Abass, A.; Adzitey, F.; Huda, N. Escherichia coli of ready-to-eat (RTE) meats origin showed resistance to antibiotics used by farmers. Antibiotics 2020, 9, 869. [Google Scholar] [CrossRef]
  41. Sofy, A.R.; Sharaf, A.E.M.A.; Al Karim, A.G.A.; Hmed, A.A.; Moharam, K.M. Prevalence of the harmful Gram-negative bacteria in ready-to-eat foods in Egypt. Food Pub. Health 2017, 7, 59–68. [Google Scholar]
  42. Mohammed, A.M. Contamination of Ready to Eat Vended Food of Meat Origin with Aerobic Bacteria in Khartoum State. Master’s Thesis, University of Khartoum, Khartoum, Sudan, 2004. [Google Scholar]
  43. Harakeh, S.; Yassine, H.; Gharios, M.; Barbour, E.; Hajjar, S.; El-Fadel, M.; Toufeili, I.; Tannous, R. Isolation, molecular characterization and antibiotic resistance patterns of Salmonella and Escherichia coli isolates from meat-based fast food in Lebanon. Sci. Total Environ. 2005, 341, 33–44. [Google Scholar] [CrossRef]
  44. Lapierre, L.; Cornejo, J.; Zavala, S.; Galarce, N.; Sánchez, F.; Benavides, M.B.; Guzmán, M.; Sáenz, L. Phenotypic and genotypic characterization of virulence factors and susceptibility to antibiotics in Salmonella Infantis strains isolated from chicken meat: First findings in Chile. Animals 2020, 10, 1049. [Google Scholar] [CrossRef]
Figure 1. Plates with zones of inhibition (clear zones around each antibiotic disc) for (a) the control strain and (b) isolate S7.
Figure 1. Plates with zones of inhibition (clear zones around each antibiotic disc) for (a) the control strain and (b) isolate S7.
Foods 10 01011 g001
Table 1. Socio-demographic characteristics of ready-to-eat meat (RTE) vendors and consumers.
Table 1. Socio-demographic characteristics of ready-to-eat meat (RTE) vendors and consumers.
RTE Meat VendorsRTE Meat Consumers
VariablesFreq./Per. (%)VariablesFreq./Per. (%)
GenderGender
Male293 (97.7)Male274 (71.7)
Female7 (2.3)Female108 (28.3)
AgeAge
Below 21 years2 (0.7)Below 21 years35 (9.2)
21–40 years231 (77.3)21–40 years250 (65.4)
41–60 years66 (22.1)41–60 years87 (22.8)
Above 60 years0 (0.0)Above 60 years10 (2.6)
Educational backgroundEducational background
None74 (24.7)None48 (12.6)
Basic221 (73.7)Basic207 (54.2)
Secondary5 (1.7)Secondary86 (22.5)
Tertiary0 (0.0)Tertiary32 (8.4)
Others0 (0.0)Others9 (2.4)
NationalityHow often do you consume RTE meat
Ghanaian265 (89.5)Daily20 (5.2)
Burkinabe7 (2.4)Once a month114 (29.8)
Malian16 (5.4)2–3 times a week29 (7.6)
Nigerien8 (2.7)Once a week219 (57.3)
Years in businessWhat prompts you consume it
Less than a year0 (0.0)My ‘’mouth sweet’’ me22 (5.8)
1–5 years131 (43.7)When I go out with friends332 (86.9)
6–10 years130 (43.3)For home consumption27 (7.1)
Above 10 years39 (13.0)Others1 (0.3)
Type of grilled RTE meat soldType of grilled RTE meat preferred
Pork50 (16.7)Pork32 (8.4)
Mutton49 (16.3)Mutton22 (5.8)
Guinea fowl51 (17.0)Guinea fowl266 (69.6)
Chevon49 (16.3)Chevon43 (11.3)
Beef51 (17.0)Beef19 (5.0)
Chicken50 (16.7)Reason for product preference
Reason for product preferenceCheaper6 (1.6)
Consumer preference285 (95.0)It is safe2 (0.5)
Religion9 (3.0)Readily available3 (0.8)
Cheaper6 (2.0)Has good taste341 (89.3)
Occupational status It is healthy30 (7.9)
Full-time281 (93.7)
Part-time19 (6.3)
Alternative occupation if part-time
Farming22 (7.3)
Number of shops
One290 (96.7)
Two10 (3.3)
Freq. = frequency, Per. = percentage.
Table 2. Knowledge of ready-to-eat (RTE) meat vendors and consumers in meat safety and contamination.
Table 2. Knowledge of ready-to-eat (RTE) meat vendors and consumers in meat safety and contamination.
RTE Meat Vendors RTE Meat Consumers
Response Response
VariablesYes: n (%)No: n (%)VariablesYes: n (%)No: n (%)
Have you ever heard of meat safety295 (98.3)5 (1.7)Have you ever heard of meat safety358 (91.8)21 (5.5)
Do you know that meat can be contaminated by poor handling300 (100)0 (0.0)Do you know that meat can be contaminated by poor handling327 (88.9)26 (7.1)
Knowledge on meat-borne diseases289 (96.3)6 (2.0)Do you know that eating, drinking, and smoking by vendors while RTE meat increases the risk of contamination70 (19.0)282 (76.6)
Received training on meat safety254 (85.5)43 (14.5)Do you know that regular washing of hands by vendors reduces the risk of contamination359 (94.0)23 (6.0)
Aware that eating, drinking, and smoking while selling meat increases the risk of meat contamination297 (99.0)3 (1.0)
Aware that regular washing of hands reduces the risk of meat contamination300 (100)0 (0.0)
Aware that using sterilized gloves reduces the risk of meat contamination298 (99.3)2 (0.7)
Know that there is the need to take leave from work when infected with any disease296 (98.7)4 (1.3)
Know that it is necessary to refrigerate leftover meat284 (94.7)16 (5.3)
n = Number of respondents.
Table 3. Ready-to-eat meat vendor and consumer responses to hygienic practices.
Table 3. Ready-to-eat meat vendor and consumer responses to hygienic practices.
Ready-to-Eat (RTE) Meat VendorsReady-to-Eat (RTE) Meat Consumers
VariablesFreq./Per. (%)VariablesFreq./Per. (%)
Source of meat for grillingHow should leftover grilled RTE meat be stored?
Backyard slaughter111 (37.0)Refrigeration256 (67.0)
Abattoir182 (60.7)Salting8 (2.1)
Imported carcass7 (2.3)Smoking105 (27.5)
Reasons for choice of sourceFrying13 (3.4)
Safe and quality182 (60.7)
Readily available110 (36.7)Where do you buy your grilled RTE meat?
Cheap8 (2.7)Market63 (16.5)
What do you sell meat on/in?Roadside208 (54.5)
An open table7 (2.3)Restaurant35 (9.2)
Table with a net covering the meat144 (48)Drinking bar76 (19.9)
Glass sieve121 (40.3)
Others28 (9.3)How is the RTE meat that you buy normally displayed?
Frequency of washing cutting tablesOn open table58 (15.2)
At the beginning of work20 (6.7)Table with wire mesh covering170 (44.5)
At the end of work5 (1.7)Glass sieve147 (38.5)
At the beginning and at the end of work275 (91.7)Others7 (1.8)
Do you disinfect your shop?
Yes298 (99.3)Do you wash your hands before touching or eating RTE meat?
No2 (0.7)Yes93 (24.8)
How often do you disinfect your shop?No261 (69.6)
Once a week128 (42.7)
Twice a week171 (57.0)What do you use to wash if yes?
Others1 (0.3)Only water220 (73.3)
Type of disinfectant usedSoap and water80 (26.7)
Isopropyl alcohol284 (94.7)
Iodine12 (4.0)Where do you eat your RTE meat?
Hydrogen peroxide4 (1.3)On the street47 (12.3)
Frequency of washing hands before touching meatAt home85 (22.3)
Always299 (99.7)In a drinking bar222 (58.1)
Sometimes1 (0.3)On the vendors’ table28 (7.3)
Yes300 (100.0)
Only water1 (0.3)
Detergent and water298 (99.3)
Others1 (0.3)
Water228 (76.0)
Warm water72 (24.0)
Sterilization of cutting tools and other equipment
Yes283 (94.3)
No17 (5.7)
Daily161 (53.8)
Twice a week10 (3.3)
Weekly126 (42.1)
Others2 (0.7)
Yes294 (98.0)
No5 (1.7)
Everyday272 (91.3)
Twice a week18 (6.0)
Once a week8 (2.7)
Always9 (3.0)
Sometimes204 (68.0)
Rarely65 (21.7)
Never22 (7.3)
Yes5 (1.7)
No295 (98.3)
Very dirty1 (0.3)
Dirty4 (1.3)
Clean99 (33.0)
Very clean196 (65.3)
Refrigeration284 (94.7)
Smoking16 (5.3)
Frying/Salting0 (0.0)
Freq. = frequency, Per. = percentage.
Table 4. Occurrence of Salmonella enterica and bacteria load in the ready-to-eat (RTE) meats.
Table 4. Occurrence of Salmonella enterica and bacteria load in the ready-to-eat (RTE) meats.
RTE Meat TypeTotal Sample TestedNo. (%) Positive* Bacteria Load (log cfu/cm2
Mutton501 (2.00)4.17 bc
Chevon501 (2.00)4.85 c
Pork501 (2.00)4.02 bc
Guinea Fowl502 (4.00)4.06 bc
Chicken501(2.00)2.53 a
Beef500 (0.00)3.37 ab
Total/average3006 (2.00)3.83
No. = number of samples positive for Salmonella enterica. * Standard error of difference = 0.294, abc Probability value = < 0.001.
Table 5. Antibiotic resistance of the Salmonella enterica isolated from ready-to-eat meats.
Table 5. Antibiotic resistance of the Salmonella enterica isolated from ready-to-eat meats.
AntimicrobialResistant (%)Susceptible (%)
Amoxycillin/Clavulanic acid 30 ug (AMC)66.6733.33
Azithromycin 15 ug (AZM)83.3316.67
Ceftriaxone 30 ug (CRO)0.0050.00
Chloramphenicol 30 ug (CHL)0.0083.33
Ciprofloxacin 5 ug (CIP)0.0083.33
Gentamycin 10 ug (GEN)16.6733.33
Teicoplanin 30 ug (TEC)100.000.00
Tetracycline 30 ug (TET)50.000.00
Sulfamethoxazole/Trimethoprim (SXT)0.00100.00
Overall35.1944.44
Table 6. Antibiotic resistance profile and multiple antibiotic resistance indexes of Salmonella enterica.
Table 6. Antibiotic resistance profile and multiple antibiotic resistance indexes of Salmonella enterica.
CodesMeat TypeNumber of AntibioticsAntibiotic-Resistant ProfileMAR Index
S7Mutton5AMC-AZM-TEC-TET-CHL0.56
P3Pork2AZM-TEC0.22
Go44Chevon4AZM-TEC-GEN-TET0.44
G44Guinea fowl2AMC-TEC0.22
G49Guinea fowl3AMC-AZM-TEC0.33
C16Chicken4AMC-AZM-TEC-TET0.44
AMC = Amoxycillin/Clavulanic acid, AZM = Azithromycin, TEC = Teicoplanin, TET = Tetracycline, CHL = Chloramphenicol.
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Aduah, M.; Adzitey, F.; Amoako, D.G.; Abia, A.L.K.; Ekli, R.; Teye, G.A.; Shariff, A.H.M.; Huda, N. Not All Street Food Is Bad: Low Prevalence of Antibiotic-Resistant Salmonella enterica in Ready-to-Eat (RTE) Meats in Ghana Is Associated with Good Vendors’ Knowledge of Meat Safety. Foods 2021, 10, 1011. https://0-doi-org.brum.beds.ac.uk/10.3390/foods10051011

AMA Style

Aduah M, Adzitey F, Amoako DG, Abia ALK, Ekli R, Teye GA, Shariff AHM, Huda N. Not All Street Food Is Bad: Low Prevalence of Antibiotic-Resistant Salmonella enterica in Ready-to-Eat (RTE) Meats in Ghana Is Associated with Good Vendors’ Knowledge of Meat Safety. Foods. 2021; 10(5):1011. https://0-doi-org.brum.beds.ac.uk/10.3390/foods10051011

Chicago/Turabian Style

Aduah, Martin, Frederick Adzitey, Daniel Gyamfi Amoako, Akebe Luther King Abia, Rejoice Ekli, Gabriel Ayum Teye, Amir H. M. Shariff, and Nurul Huda. 2021. "Not All Street Food Is Bad: Low Prevalence of Antibiotic-Resistant Salmonella enterica in Ready-to-Eat (RTE) Meats in Ghana Is Associated with Good Vendors’ Knowledge of Meat Safety" Foods 10, no. 5: 1011. https://0-doi-org.brum.beds.ac.uk/10.3390/foods10051011

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