- Research article
- Open Access
Prevalence of Salmonella in raw animal products in Ethiopia: a meta-analysis
© Getachew and Endrias; licensee BioMed Central. 2015
- Received: 30 December 2014
- Accepted: 15 April 2015
- Published: 21 April 2015
The contributions of animal products to human salmonellosis differ across countries, and source attribution is a major step in prioritizing control measures. The objectives of this study were to estimate the prevalence of Salmonella in raw animal products in Ethiopia by using meta-analytical methods.
The odds of Salmonella contaminated meat was more than twice higher in markets than in slaughter houses [Odds ratio (OR) = 2.25 (95% Confidence Interval [CI] = 1.75, 2.89)]. The source species significantly affected meat contamination in slaughter houses (P < 0.05) but not in the markets (P > 0.05). The pooled estimates of Salmonella contaminated goat carcasses, beef carcasses, minced beef and milk were 3.86%, 4.53%, 8.34% and 10.76% respectively.
The estimates demonstrate the extent of contamination, and imply the need for safety intervention measures to reduce the risks of contamination of animal products and human illnesses.
- Animal products
- Slaughter houses
Salmonella is one of the major public health concerns all over the world. Whilst typhoidal infections are common in the tropics and subtropics where the sewage disposal system and the food handling hygienic standards are inadequate , non-typhoidal Salmonella (NTS) is important in both developed and developing countries. NTS enters the food chain at any point in livestock feed, and in food manufacturing, processing, retailing, catering and preparation ; survives typical catering refrigeration temperatures and increases in number under conditions of thermal abuse . Apart from sporadic infections, outbreaks associated with the consumption of contaminated animal products have been recorded in several countries [4-9].
As the relative contributions of animal products to human salmonellosis differ across countries , source attribution is a major step in prioritizing control measures . Elsewhere, different methods that included microbial sub-typing, comparative exposures, epidemiological analyses of sporadic cases and outbreaks, and expert elicitations have been used to attribute sources to human cases . In Ethiopia, the incidence of food-borne salmonellosis is unknown; the risk factors associated with the contamination of animal products are not described, and there have not been studies on attribution of sources to human illnesses. However, the considerable occurrence of carrier food animals (7.07% in cattle to 43.81% in pigs)  and the wide spread raw animal product consumption habit in a noteworthy segment of the population are suggestive of the risk of acquiring Salmonella from animal products. Therefore, quantitative syntheses of studies’ estimates could enable to appreciate the level of contamination and the comparative importance of animal products as potential sources of Salmonella infections to humans. The objective of this study was to estimate the prevalence of Salmonella in raw animal products of Ethiopia by using meta-analytical methods.
The study was conducted according to the guideline of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) group . The PRISMA check list was used to ensure inclusion of relevant information (see Additional file 1).
Literature search and study selection
The literature search strategy was described in a previous report . Briefly, published studies were searched in Medline, and non-Medline indexed articles were searched in Google scholar and in the lists of references of articles. The last search was done on December 10, 2014. A study was screened for eligibility if (i) it was published in English, (ii) the samples were raw and (iii) collected from slaughter houses, ‘super markets’ or farms. A study was excluded if (i) the titles and abstracts were not relevant to the outcomes of interest, (ii) it was a duplicate and (iii) the methodology was not appropriate.
From each eligible study, the first author, year of publication, year of study, location, study design, sample source, sample type, sample size, microbiological methods and numbers of Salmonella positive samples were extracted. The study level estimates and standard errors were derived from the extracted data.
To produce conservative estimates, a zero reported for the number of positive samples was imputed as 0.5 . The study level estimates were transformed to logit event estimates [16,17] by the following formula: lp = ln [p/ (1 − p)], where lp = logit event estimate; ln = natural logarithm; p = study level estimate. The variances of the estimates were calculated by the following formula: v (lp) = 1/ (np) + 1/ [n (1 − p)], where v = variance, and n = sample size.
Assessment of bias
The qualities of the methods (sampling and microbiological) were used to assess the within study biases. The across study bias (small study effects) of the estimates on meat items was visually examined by a funnel plot, and the Egger’s regression asymmetry test was used to test the statistical significance of the bias . The Duval and Tweedie non-parametric ‘fill and trim’ linear random method was used to calculate unbiased estimates .
The Galbraith plot was used to get a visual impression of the heterogeneity of the estimates on the prevalence of contaminated meats . The significance of the heterogeneities was assessed by the Cochran’s Q test, and a non significant heterogeneity was accepted if the ratio of Q and the degree of freedom (Q/df) was less than one. The inverse variance index (I2) was used to estimate the percentage of the variation attributable to heterogeneity, and I2 values of 25%, 50% and 75% were considered as low, moderate and high heterogeneity, respectively . Subgroup analyses were done by sample source (slaughterhouse/market), type of sample (whole muscle/swab) and source species.
The DerSimonian and Laird random effects model was used to pool logit event estimates . The pooled estimates were back transformed to prevalence estimates (p): p = elp/ (elp + 1): where e = the base of natural logarithm. Single study omitted influence analyses were done to test the sensitivities of pooled estimates. A study was considered to be influential if the pooled estimate without it was not within the 95% confidence limits of the overall mean. The Z test was used to test whether a pooled estimate significantly differs from zero or not. The Chi Square test was used to test the significance of differences in pooled estimates [23,24]. Alpha was set at 0.05.
Microsoft Office Excel 2007 was used to calculate study level prevalence estimates, logit event estimates, standard errors and to back transform logit event estimates to proportions. Epi info™ (Version 3.5.1, Center for Disease Control, CDC, USA) was used to compare groups. Stata (Version 11.1, Stata Corp, College Station, Texas) was used in all other analyses.
Search and selection of studies
Characteristics of the eligible studies
Characteristics of the eligible studies on Salmonella contaminated products
Bias and heterogeneity
Pooled prevalence of Salmonella in raw meat and milk
p (95% CI)
5.57 (3.39, 9.01)
3.57 (2.09, 6.06)
3.86 (1.08, 23.20)
4.53 (2.17, 9.25)
8.02 (3.04, 19.51)
21.02 (14.62, 29.26)
11.72 (9.71, 14.08)
8.34 (4.75, 14.22)
11.86 (8.64, 16.07)
12.59 (8.99, 17.35)
13.53 (10.93, 16.64)
10.76 (4.03, 25.71)
Number (%) of serotypes isolated from ruminant meat
Beef (n =91)a
Mutton/goat (n = 37)b
Camel (n = 25)b
Table 2 presents pooled estimates of Salmonella in animal products. The pooled prevalence estimates of contaminated pork, goat meat, beef and mutton carcasses in slaughter houses were 3.57%, 3.86%, 4.53% and 8.02%, respectively. The pooled estimates of contaminated minced beef, mutton, pork and chicken meat collected from markets were 8.34%, 11.86%, 12.59% and 13.53% respectively, and that of raw milk was 10.76%. All single study omitted estimates were within the 95% confidence bounds of the respective means. The source species significantly affected the occurrence of Salmonella in samples taken from slaughter houses (X2 = 8.57; df = 3; P < 0.05) but not in samples collected from markets (X2 = 7.11; df = 3; P > 0.05).
Although carcasses from apparently healthy animals are generally assumed to be free of Salmonella, contamination occurs in slaughter houses. The disparities in the extents of contamination could be due to differences in the skills of personnel in gut evisceration, carcass examination, carcass handling, and the hygienic standards of the slaughter houses, and there have been reports on the substandard knowledge, attitude and practice (KAP) of slaughterhouse personnel on food safety in Ethiopia [43,44]. Therefore, given the substandard KAP of personnel and the insanitary slaughterhouses’ environment in most cases in point, and a Salmonella carrier prevalence of 7.07% in cattle to 43.81% in pigs , the likelihood of carcass contamination could be considerable. The differences in the prevalence of Salmonella by meat type could be ascribed to differences in the occurrence of the bacteria by source species that apparently influences the levels of contamination of slaughterhouses, personnel and slaughtering equipments. However, notwithstanding the effect of the source species, the lower prevalence of contaminated pork compared to other meat items could have been due to the hot water treatment of pig carcasses.
The odds of contaminated meat was more than twice higher in markets than in slaughterhouses [X2 = 43.54; P = 0.001; OR = 2.25 (95% CI = 1.75, 2.89)], and this could be due to further exposure of meat items to additional sources of contamination outside the slaughterhouses, and bacterial multiplication in faulty storages. The loading and unloading practice, the meat handling and processing practice, lack of adequate product holding facilities and power interruption could be implicated as potential factors that might have contributed to the higher prevalence of contaminated meat items in the markets. Moreover, in butcheries, carcasses are left in the open and exposed to environmental contaminants; the same utensils (cutting board and knives) are used for edible offal (tongue and rumen) and meats, and higher levels of contamination have been recorded in meat samples collected from retail markets, bars, restaurants and streets [45-47]. Furthermore, a higher bacterial count in retail outlets than in slaughterhouses , a positive association of bacterial count with market display temperature , and a linear association of temperature and cases of human salmonellosis  have been recorded elsewhere.
Beef, goat meat and milk are often consumed raw or undercooked and appear to be main vehicles of Salmonella to humans in Ethiopia. Consumption of raw mutton is less common, and pork is not popular due to either religious or cultural taboos or both. Chicken meat could be a potential source of contamination to other meat items with a greater risk during festive occasions where preparation of varieties of meat dishes (raw or undercooked and cooked) is a common practice in several households. In contrast, source attribution studies in Europe, USA, New Zealand and Japan attributed pigs for 10 to 23% , broilers for 48% , pigs for 60%  and layers for more than 50%  of the human illnesses, respectively.
Number (%) of serotypes isolated from non-ruminant meat
Of the market isolates, resistance to three or more antimicrobials (multi-drug resistance, MDR) was recorded in S. Braenderup [35,37,59,60], S. Newport, S. Haifa , S. Anatum [35,57], S. Saintpaul, S. Roughform, S. Uganda  and S. Typhimurium [59-61]. Moreover, more than half of the milk isolates (25/42), [40-42], and 19.12% of the isolates of slaughtered ruminant origin were MDR, and certain strains were reportedly resistant to drugs uncommonly used in the veterinary sector . Furthermore, Salmonella has been isolated from personnel in contact with animals or animal products , and the proportion of MDR isolates of human origin was estimated at 79.56% . In general, regardless of the limited data on the drug resistance profiles of Salmonellae isolated from animal products, the risk of acquiring MDR Salmonella through the consumption of raw or undercooked animal products appears considerable.
Implications and limitations
The pooled estimates demonstrate the level of contaminated animal products meant for public consumption and imply the need for strict observations of food safety in slaughterhouses and markets. Policy makers could make use of the estimates as inputs to enforce food safety measures and reduce the risks of contamination of animal products. The limited number of studies was the main constraint to calculate robust pooled estimates by sample source and type. Therefore, as most studies have been carried out in slaughterhouses and markets in Addis Ababa and the surrounding towns, the pooled prevalence estimates of contaminated meat items are more appropriate to bigger urban than to rural and smaller settings of the country.
The estimates demonstrate the extent of contamination, and entail the need for quality assurance programs to ensure the safety of animal products to consumers. Food safety educational programs in slaughterhouses and markets, and public education as regards the risks of consumption of raw or undercooked animal products are important lines of defense against Salmonella and other food-borne pathogens.
We thank Dr. Bayleyegne Molla, Dr. Sefinew Alemu and Mr. Bayeh Abera for providing us with their articles, and Dr. Tesfaye Sisay for his help in literature search.
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