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Isolation and Antibiotic Susceptibility Patterns of Shigella and Salmonella among Under 5 Children with Acute Diarrhoea: A Cross-Sectional Study at Selected Public Health Facilities in Addis Ababa, Ethiopia

Yeshwondm Mamuye1*, Gesit Metaferia1, Asaye Birhanu2, Kassu Desta2, and Surafel Fantaw3

1St.Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia

2School of Medical Laboratory Technology, College of Allied Health Science, Addis Ababa University, Addis Ababa, Ethiopia

3Bacteriology Department, Ethiopian Health Nutrition Research Institute (EHNRI), Ethiopia

*Corresponding Author:
Yeshwondm Mamuye
St.Paul’s Hospital Millennium Medical College
Addis Ababa, Ethiopia
Tel: +251-911158489
E-mail: [email protected]

Received date: November 22, 2014; Accepted date: February 16, 2015; Published date: February 23, 2015

Citation: Mamuye Y, Metaferia G, Birhanu A, Desta K, Fantaw S (2015) Isolation and Antibiotic Susceptibility Patterns of Shigella and Salmonella among Under 5 Children with Acute Diarrhoea: A Cross-Sectional Study at Selected Public Health Facilities in Addis Ababa, Ethiopia. Clin Microbiol 4:186. doi: 10.4172/2327-5073.1000186

Copyright: © 2015 Mamuye Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Background: Diarrhoeal illness remains one of the leading causes of morbidity and mortality among children<5 years of age worldwide. In Ethiopia, about 230,000 deaths estimated to occur. Shigella and Salmonella are major causes of gastroenteritis in children and is associated with high resistance levels. Thus, the aims of this study was to isolate and determine susceptibility patterns of Shigella and Salmonella, isolated from under five children with diarrhoea attending at some selected health facilities in Addis Ababa, Ethiopia.

Methods: A total of 253 children 115 males and 138 females with acute diarrhoea were enrolled. Stool samples were cultured and isolated Shigella and Salmonella species were run for antimicrobial susceptibility testing using disk diffusion method.

Results: A total of 190 entropathogens were isolated. Sixty one (24.1%) was E. coli, (9.1%) was Shigella followed by (3.95%) Salmonella and Citrobacter species and 86 (34.0%) was parasites. The overall resistance rates of isolated Shigella and Salmonella spp were high for Ampicillin (95.7%, 80.0%) and Augmentin (91.4%, 80) respectively. However, high sensitivity was observed among both isolates for Ciprofloxacin (91.3%, 100%) and Ceftraxion (91.4%, 100%). More than 87% of Shigella species were multiple resistances (resistance for two or more antibiotics). Whereas, 70.0% for Salmonella species. The prevalence of Shigella species was significantly varied among children with different employment parent’s status. Raw meat consumption was an independent predictor variable for exposures of Salmonella infection (P≤0.05).

Conclusion: Isolation of high frequency of multidrug resistant Shigella and Salmonella spp. from children in the study area is an alarming for the present situation of emerging drug resistance. However, there is still a chance to use ciprofloxacin and ceftriaxone in area of no culture and sensitivity test performed.


Shigella; Salmonella; Antibiotic Resistance Pattern; Addis Ababa; Ethiopia


Diarrhoea is the third most common cause of death among children<5 years of age worldwide, accounting for 1.87 million deaths per year [1]. Globally 21% of all deaths in children under five years of age are estimated to be due to diarrhoeal infections [2]. It is one of the top three causes of childhood mortality in Sub-Saharan Africa including Ethiopia. Food given for complementary feeding, early introduction of milk-formula or solid food, drinking of unsafe water, and contaminated food are often considered to increase exposure to enteropathogens and has been associated with increased rates of acute diarrhoea [3,4].

The causes of acute diarrhoea include a wide range of viruses, bacteria, and parasites. However, enteric bacteria and parasites are more prevalent than viruses. Bacterial enteropathogens that cause diarrhoea include Diarrhoeagenic E. coli, Shigella, Salmonella species, and Campylobacter species [5,6]. Shigellosis is a highly infectious disease of world significance. Its prevalence is highest in tropical and subtropical parts of the world where living standards are very low and access to safe and adequate drinking water and proper excreta disposal systems are often limited [7]. Salmonella infections also remain as an important public health problem particularly in developing countries [8]. Like other developing nations, Shigellosis and Salmonellosis are among the common causes of morbidity and mortality in Ethiopia [7,9]. Moreover, emergence and spread of antibiotic resistance is posing serious problems in antimicrobial treatment worldwide [10].

In view of increasing antibiotic resistance rate in the country, stimulates us to assess the prevalence and resistance patterns of Shigella and Salmonella species in patients who were presenting with diarrhoea at selected health facilities.

Method and Materials

Study Area and Population

A cross sectional study was conducted in three selected health facilities (two health centre and one teaching hospital), Addis Ababa, Ethiopia between August-December 2012. The study was conducted at outpatient paediatric departments of three selected health institutions in Addis Ababa, Ethiopia. Based on 2007 census results Addis Ababa has a total population of 2,738,248, consisting of 1,304,518 men and 1,433,730 women, and from which 195,932 are children under five years of age. With an estimated area of 530.14 square kilometres (204.69 sq mi), this chartered city has an estimated density of 5,165.1 inhabitants per square kilometre (13,378 /sq mi).

Individuals eligible for enteric bacterial survey were all under five children with acute diarrhoea (passage of three or more loose stools per 24 hours) attending at selected health facilities [11]. But those children with antibiotics were excluded. All care takers, who were volunteers to participate, were interviewed for KAP survey about diarrhoea.

Sample Size and Sampling Procedures

The sample size for the study was calculated using the formula (n=(zα/2)2 p (1-p)/ d2) for estimating a single population proportion at 95% confidence interval (CI) (Zα/2 = 1.96), 5% margin of error, and 25% non-response rates. Based on previous study in northwest Ethiopia, the prevalence of Shigella infection among adult diarrhoeal patients was 15.6% [12]. Therefore, the total sample size for Shigella and Salmonella survey is 253.

Three health facilities were selected using convenient method from a total number of 7 public hospitals and 54 health centers. The estimated sample size was proportionally distributed as 86, 109 and 58 study participants respectively on the basis of population proportion to size. A total of 253 study participants were recruited by using consecutive sampling techniques.

Data Collection

Stool sample collection: The mother or guardian was given a clean plastic stool container and oriented about sample collection after interviewed by nurses with a pretested questionnaire. Once collected, protozoa parasites were identified through direct microscopy using saline wet mount at each study sites by experienced laboratory technicians/technologists. Part of the stool was kept in Cary-Blair transport media, and transported using ice box to microbiology department of St.Paul’s hospital millennium medical college for further microbiological investigations. Primarily overnight incubation was performed simultaneously at selenite F broth enrichment media and MacConkey agar (MAC), for further multiplication of Salmonella and other enteric pathogen growth. This was then subsequently sub-cultured onto MacConkey agar (MAC), Salmonella Shigella agar (SSA) and Deoxycholate Citrate Agar (DCA), and then incubated aerobically at 37oC for 24 hours. After overnight incubation, colonies which exhibited characteristics of Salmonella and Shigella species were identified by conventional biochemical methods [13].

Susceptibility testing: Susceptibility was determined both by overnight broth-micro-dilution and agar disk diffusion method, and Clinical and Laboratory Standards Institute using Oxoid- Mueller Hinton agar (Difco Laboratories, Detroit, Mich). The following antibiotics were used to screen for the resistance of the isolates; ciprofloxacin- CIP (10 μg), augumentin-AMC (30 μg), gentamicin- GEN (10 μg), chloramphenicol- C (30 μg), ampicillin-Amp (10μg), nalidixic acid-NA (30 μg), ceftriaxone-CRO (30 μg) and cotrimoxazole- SXT (5 μg) (Difco Laboratories, Detroit, Mich). The zones of inhibition were then measured and the results recorded as sensitive (s), Intermidate (I) or resistance (R) base on World Health Organization Drug information and Clinical and Laboratory Standards Institute [14,15].

Using a sterile wire loop, 3-5 well isolated colonies was picked and emulsified in nutrient broth. A standard inoculum adjusted to 0.5 McFarland was swabbed onto Muller-Hinton agar. Susceptibility testing for all isolates was done using disc diffusion technique at 35oC for 16 to 18 hours against eight antibiotics, and interpreted on the basis of CLSI guide line [16]. Quality control was performed to check the quality of medium, the potency of the antibiotic, to check manual errors. Each new lots was quality controlled before use by testing the E. coli ATCC 25922 standard strains [13,14].

Data Analysis

Data were double entered and cross-checked using Epi-data version 3.3, and analysed using SPSS version 20. Enteric bacterial prevalence was determined by dividing the number of enteric bacterial infected individual by the total number of individuals examined for bacterial infection. Frequency distribution tables were used to quantify enteric bacterial and parasitic infection, in addition to, knowledge of respondents related to symptoms, causes, transmission, prevention and control measures of diarrhoea. Logistic regression was used to see the association between independent predictors and dependent enteric bacterial infection. Bivariate and multivariate logistic regression analysis was used to quantify the effect of different risk factors including KAP on bacterial related diarrhoea. 95% confidence intervals were calculated for odds ratio. Values were considered statistically significant at p<0.05.

Ethical Considerations

The study obtained ethical clearance from Department Research and Ethical Review Committee (DRERC) of Addis Ababa University School of Allied Health Sciences, Department of Medical Laboratory sciences. Supportive letter was obtained from St.paul’s hospital millennium medical college, Selam health center and Addis ketema health center, and written informed consent was obtained from voluntary participants and parents or guardians for children during data collection. Individuals who were found positive for bacterial and parasite were treated as per the national guidelines.


Socio-Demographic Characteristics

Acute Diarrhoea is defined as three or more watery stools in the previous 24 hours as noted by the mother or caretaker. A total of 253 guardians were interviewed make the respondent’s rate 100%. Most of respondents were females 220 (87%); 66.0% were between 26-40 years, ranging from 16 to 52 years with a median of 29 years; married 218 (86.2%), and had completed a primary 164 (64.9%) education. Majority 135 (53.4%) of caretakers were house wives; and one hundred nineteen caretaker’s (47.0%) income was belonged to less than 500ETB per month. Some of the caretakers had completed secondary or higher level of education. A total of 253 patients provide stool sample for enteric bacterial and parasite identification. The mean age of the patients was 2.61 with 1.26 SD (range 1 month to 5 years) (Table 1).

Variables Frequency (N=253) Percent (%)
Male 115 45.5
Female 138 54.5
Age (in Year)    
<1 32 12.6
1 to 2 72 28.5
2 to 3 64 25.3
≥3 84 33.6
Female 220 87
Male 33 13
≤25 78 30.8
26 to 40 167 66
>40 8 3.2
Marital Status    
Single 15 6
Married 218 86.2
Divorced 12 4.7
Other 8 3.1
Educational Status    
Illiterate 42 16.6
Primary 164 64.9
Secondary 33 13
Higher Education 14 5.5
Government 25 9.9
Merchant 63 24.9
Other 30 11.8
Monthly income (ETB)    
<500 119 47
500-1000 41 16.2
1000-1500 12 4.8
>1500 5 2
Other 76 30

Table 1: Distributions of socio-demographic characteristics of children and caretakers, at Selam health center, Addis ketema health center, and St.Paul’s hospital millennium medical college in Addis Ababa, Ethiopia 2012/13

Majority of the study participants 138 (54.5%) were females. The overall prevalence of enteric bacterial infection was isolated among (41.1%) of the patients. The predominant isolated organisms were E. coli (24.1 %) species, followed by (9.1 %) of Shigella species, Salmonella species (3.95 %), and Citrobacter species (3.95%). A total prevalence (34%) of parasites was identified. The most frequently identified protozoan parasites were E. histoletica/dispar (17.8%), followed by G. lambia (10.3%), H. nana (3.6%), A. lumbricoids (2.0%), and S. stercolaris (0.4%) (Table 2). Co-infections were found in (7.1%) of the patients, of these (5.1%) were bacteria/ parasite and (1.9%) were parasite/parasite co-infection.

Etiologic Agents Frequency (No.) Percent (%)
E. coli spp. 61 24.1
Shigela spp. 23 9.1
Salmonella spp. 10 3.95
Citrobacter spp. 10 3.95
Total 104 41.1
Entamoeba histolytica/dispar 45 17.8
Gardia lamblia 26 10.3
Hymenolopsis nana 9 3.6
Ascaris lumbricoids 5 2
S.stercolaris 1 0.4
Total 86 34

Table 2: Bacterial pathogens and parasites detected from 253 patients with diarrhoea at Selam health center, Addis ketema health center and St.Paul’s hospital millennium medical college in Addis Ababa Ethiopia, 2012/2013

The prevalence of Shigella species was significantly isolated (P=0.027 and 0.011) from patients whose parents are merchant and housewife respectively than government employers. Children from those government employers are 78% less likely to have Shigella infection than merchants. In crude data, fever and attending daycare service were stastically significant between isolation rates of Shigella. However, in the adjusted data there was no stastically significant association detected (Table 3).

Characteristics Shigella (23) Salmonella(10)
  Positive Negative AOR (CI) P-value Positive Negative AOR (CI) P-value
Marital status                
Ever Married 22(9.3) 215(90.7) 0.63(0.08-4.9) 0.66 9(3.8) 228(96.2) 0.5(0.06-4.8) 0.58
Never married 1(6.3) 15(93.7) 1   1(6.3) 15(93.8) 1  
Educational status                
Illiterate 4(9.5) 38(90.5) 0.6(0.09-3.7) 0.58 0 42(100.0) -  
Primary 13(7.9) 151(92.1) 0.5(0.10-2.5) 0.39 5(3.0) 159(97.0) 0.4(0.05-3.9) 0.45
Secondary 4(12.1) 29(87.9) 0.68(0.11-4.3) 0.68 4(12.1) 29(87.9) 1.8(0.2-17.7) 0.63
Higher 2(14.3) 12(85.7) 1   1(7.1) 13(92.9) 1  
Government 6(24.0) 19(76.0)     2(8.0) 23(92.0) 1  
Merchant 4(6.3) 59(93.7) 0.22(0.06-0.84) 0.027 4(6.3) 59(93.7) 0.65(0.1-4.1) 0.65
House Wife 9(6.7) 126(93.3) 0.23(0.08-0.9) 0.011 4(3.0) 131(97.0) 0.26(0.04-1.6) 0.15
Others 4(13.3) 26(86.7) 0.5(0.12-1.97) 0.31 0 30(100.0) NA  
Monthly income                
≤500 11(9.2) 108(90.8) 1.4(0.46-4.3) 0.55 3(2.5) 116(97.5) 0.94(0.2-5.8) 0.95
500-1000 4(9.8) 37(90.2) 1.6(0.4-6.4) 0.53 3(7.3) 38(92.7) 2.9(0.5-17.9) 0.26
1000-1500 2(16.7) 10(83.3) 2.5(0.41-15.2) 0.32 2(16.7) 10(83.3) 7.3(0.9-57.8) 0.06
>1500 1(20.0) 4(80.0) 2.5(0.22-28.5) 0.46 0 5(100.0) NA  
Others 5(6.6) 71(93.4) 1   2(2.6) 74(97.4) 1  
Other family members with previous diarrhea                
Yes 3(9.7 28(90.3) 1.1(0.3-4.0) 0.94 1(3.2) 30(96.8) 1.2(0.14-10.9) 0.87
No 20(9.0) 202(91.0) 1   9(4.1) 213(95.9) 1  
Attending day care                
Yes 13(14.1) 79(85.9) 1   6(6.5) 86(93.5) 1  
No 10(6.2) 151(93.8) 0.42(0.15-0.95) 0.06 4(2.5) 156(97.5) 0.35(0.09-1.4) 0.13
Feeding Practice                
Exclusive breast milk 7(17.9) 32(82.1) 1   4(10.3) 35(89.7) 1  
Breast Milk plus solid 6(7.5) 74(92.5) 0.4(0.12-1.2) 0.95 0 80(100.0) NA  
Solid food only 10(7.8) 119(92.2) 0.4(0.14-1.1) 0.072 5(3.9) 124(96.1) 0.3(0.07-1.2) 0.08
Formula Milk 0 5(100.0) NA   1(2.0) 4(80.0) 1.9(0.17-23.3) 0.59
Usage of latrine                
Yes 22(8.9) 224(91.1) 1   10(4.1) 236(95.9) NA  
No 1(14.3) 6(85.7) 0.6(0.05-7.2) 0.7 0 7(100.0)    
Raw Meat consumption                
Yes 2(8.7) 21(91.3) 0.98(0.21-4.5) 0.96 4(17.4) 19(82.6) 12.3(1.8-49.7) 0.001
No 21(9.1) 209(90.9) 1   6(2.6) 224(97.4) 1  
Raw Milk consumption                
Yes 10(7.0) 132(93.0) 0.6(0.23-1.4) 0.23 6(4.2) 136(95.8) 0.9(0.22-4.1) 0.93
No 13(11.7) 98(88.3) 1   4(3.6) 107(96.4)    
Hand washing before and after meal                
Yes 23(9.3) 223(90.7) NA   9(3.7) 237(96.3) 1  
No 0 7(100.0)     1(14.3) 6(85.7) 3.4(0.3-36.3) 0.3
Abdominal Pain                
Yes 19(9.6) 179(90.4) 2.2(0.6-8.04) 0.24 6(3.0) 92(97.0) 0.44(0.08-2.3) 0.33
No 4(7.3) 51(92.7) 1   4(7.3) 51(92.7) 1  
Yes 13(10.2) 115(89.8) 1.6(0.6-4.2) 0.3 6(4.7) 122(95.3) 1.02(0.25-4.2) 0.98
No 10(8.0) 115(92.0) 1   4(3.2) 121(96.8) 1  
Yes 11(6.7) 154(93.3) 2.2(0.13-0.95) 0.09 7(4.2) 158(95.8) 1.5(0.4-6.3) 0.57
No 12(13.6) 76(86.4) 1   3(3.4) 85(96.6)    
Yes 9(6.6) 128(93.4) 0.5(0.20-1.2) 0.13 8(5.8) 129(94.2) 5.7(1.2-57.1) 0.04
No 14(12.1) 102(87.9) 1   2(1.7) 114(98.3) 1  
Good 20(9.4) 192(90.6) 1   8(3.8) 204(96.2) 1  
Poor 3(7.3) 38(92.7) 0.9(0.22-3.1) 0.9 2(4.9) 39(95.1) 1.5(0.3-8.2) 0.63
Good 21(9.4) 202(90.6)     8(3.6) 215(96.4) 1  
Poor 2(6.7) 28(93.3) 0.7(0.14-3.3) 0.64 2(6.7) 28(93.3) 1.9(0.4-10.2) 0.45
Good 22(9.2) 216(90.8) 1   9(3.8) 229(96.2) 1  
Poor 1(6.7) 14(93.3) 0.95(0.11-8.3) 0.94 1(6.7) 14(93.3) 2.2(0.2-21.6) 0.51

Table 3: Associations of selected risk factor with culture positivity of Shigella and Salmonella at Slame health center, Addis ketema health center and St.Paul’s hospital millennium medical college in Addis Ababa Ethiopia, 2012/2013

The prevalence of Salmonella was significantly isolated among children from raw meat user families than non-raw meat users (AOR=12.3, 95% CI=2.8-53.5), P-value=0.001). Multivariate logistic regression revealed that Salmonella infection was isolated more likely from children with tensumes. Salmonella, strains were 5.7 times more likely to be detected from children with the complaints of tensumes (AOR=5.7, 95% CI=1.1-30.9, P-value=0.04) (Table 3).

Antibiotic Sensitivity Patterns

Shigella was isolated from 9.1% stool samples. Among patients who had Shigella infections, the resistance rates was high for ampicillin (95.7%), augmentin (91.4%), trimethoprim-sulphamethoxazole (52.2%), and low level of resistance observed against ciprofloxacin (4.3%), and ceftriaxone (4.3%). Resistances for one or more antibiotics were observed among 91.3% of the isolates of Shigella species. However, more than 90% of the strains of Shigella species were sensitive to ciprofloxacin, and ceftriaxone (Table 4).

Antibiotics Shigella spp. (23) Salmonella spp. (10) Total (33)
  (N/%) (No/%) (No/%)
  S I R S I R S I R
Amp 0 1(4.3) 22(95.7) 2(20.0) 0 8(80.0) 2(6.1) 1(3.0) 30(90.1)
AMC 1(4.3) 1(4.3) 21(91.4) 1(10.0) 1(10.0) 8(80.0) 2(6.1) 2(6.0) 29(87.9)
SXT 9(39.1) 2(8.7) 12(52.2) 3(30.0) 1(10.0) 6(60.0) 12(36.3) 3(9.1) 18(54.5)
C 16(69.6) 2(8.7) 5(21.7) 5(50.0) 1(10.0) 4(40.00) 21(63.6) 3(9.1) 9(27.3)
GEN 16(69.6) 3(13.0) 4(17.4) 5(50.0) 5(50.0) 0 21(63.6) 8(24.2) 4(12.2)
NA 16(69.6) 2(8.7) 5(21.7) 7(70.0) 1(10.0) 2(20.0) 23(69.7) 3(9.1) 7(21.2)
CIP 21(91.4) 1(4.3) 1(4.3) 10(100.0) 0 0 31(93.9) 1(3.0) 1(3.1)
CRO 21(91.4) 1(4.3) 1(4.3) 10(100.0) 0 0 31(93.9) 1(3.0) 1(3.1)

Table 4: Percent of antimicrobial susceptibility patterns of Shigella , and Salmonella isolates among under five years of children in Selam health center, Addis ketema health center, and St.Paul’s hospital millennium medical college, Addis Ababa, Ethiopia 2012/2013.

Salmonella species were isolated from ten diarrheic (3.9%) patients. Of the Salmonella isolates, 80.0% (8/10) were resistant for AMP and AUG. Sixty, 40.0 and 20.0% of the isolates were resistant to SXT, C and NA, respectively. And 70.0% of isolated Salmonella species were resistance for one or more antibacterial antibiotics. But all of the Salmonella isolates were sensitive to Ciprofloxacin and Ceftraxione (Table 4).


In this cross-sectional study among diarrhoeal patients at some selected health facilities in Addis Ababa Ethiopia, the prevalence of Shigella in stool samples was found to be 9.1%. This result was relatively consistent with studies done in Gondar and Bahardar northwest part of Ethiopia, Kenya and Tanzania where 15.6%, 14.9%, 16% and 14% Shigella isolates have been reported, respectively [12,16,17]. However, our finding was lower compared to a 34.6% prevalence of Shigella species isolated from a study done in Awassa, southern Ethiopia [18]. The difference might be due to age, socio-economic factor and the nature of the public water supply scheme in the setting which is from Lake Awassa and supposed to be more contaminated than the public water supply system of Addis Ababa town which is a protected surface water system.

This study has also attempted to isolate Salmonella spp, stools of children. Ten (3.9%) children were found to be infected with Salmonella spp. Our finding was comparable with previous reports in northwest and northern Ethiopia and Nigeria in which 1.6%, 1%, 2.01% and 2.3% of Salmonella isolates reported, respectively [12,19,20].

Shigellosis is becoming an increasingly significant public health problem due to the development of multiple antimicrobial resistances, frequently resulting in treatment failure, leading in turn to health complications and deaths [21]. In the present study, 91.3% of the Shigella species were resistant to one or more antibiotics and 87% multiple resistances (resistance for two up to six commonly used antibiotics) were observed. This finding was in line with a study conducted in southern Ethiopia where 82% isolates were found to be multi drug resistant [18]. Other studies from Ethiopia also showed increased antibiotic resistance [12,19,22,23]. The high resistance rate of Shigella isolates observed in this study is nearly in agreement with a study from Vietnam where 78.6% of the isolates were found to be multidrug resistant [24].

Our findings showed that 95.7%, 91.4% and 52.5% of the Shigella isolates were resistant to ampicillin, augmentin and cotrimoxazole respectively. These findings were comparable with previous studies conducted in Ethiopia [18,22,23] and other African countries [25,26]. Four percent of the Shigella isolates were resistant to ciprofloxacin and this result was in agreement with a study conducted in Gondar, northwest Ethiopia [27]. However, 16% and 28.3% of Shigella isolates resistance to ciprofloxacin were reported in South Africa and Nepal, respectively [21,28]. Comparatively high rate of resistance to gentamycin (17.4%) was observed in the present study as compared to a report in Nigeria which 10.1% of Shigella isolates were resistant [25].

The resistance rate for the isolated Salmonella species in this study were high for ampicipllin, augmentin, cotrimoxazole and chloramphenicol 80.0%, 80.0%, 60.0%, and 40.0% respectively. This study was consistent with previous studies conducted in Ethiopia, South Africa and Mexico [12,21,22,29]. The absence of Salmonella isolates resistance for ciprofloxacin and ceftriaxone in the present study suggests that ciprofloxacin and ceftriaxone are commonly used to treat children with Salmonella infections, particularly invasive infections, because of its favorable pharmacokinetic properties and the low prevalence of resistance. This is in agreement with other studies conducted in northwest Ethiopia, Nigeria and Ibadan [12,30,31].


The results of the present study showed that high frequency of multi drug resistance Shigella and Salmonella. However, there is still a chance to use ciprofloxacin and ceftriaxone as a treatment option in the setting because of their low frequency of resistance rate. There are also some risk factors which signify the infection rates of these enteric pathogens. Thus, there is a need of large scale surveillance of the enteric bacterial pathogen and antibiotic susceptibility pattern in line with risk factors in hospitals and in the community which should be the basis for empiric therapy.


The authors are grateful to School of Medical Laboratory Technology, Addis Ababa University, and St.Paul’s Hospital Medical College for financial and facilities support of the study. We would also like to thank Federal Ministry of Health and Addis Ababa health Bureau for provision of the necessary information, facilities and technical supports. The study participants are duly acknowledged for voluntarily supplying the stool sample and responding to the questionnaire. We are indebted to data collectors and supervisors for their cooperation.


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