Available online on 15.06.2024 at http://jddtonline.info

Journal of Drug Delivery and Therapeutics

Open Access to Pharmaceutical and Medical Research

Copyright  © 2024 The   Author(s): This is an open-access article distributed under the terms of the CC BY-NC 4.0 which permits unrestricted use, distribution, and reproduction in any medium for non-commercial use provided the original author and source are credited

Open Access   Full Text Article                                                                                                                                                  Research Article

Isolation and Identification of Bacteria from Electronic devices used by Students and Staffs in Ines Ruhengeri

UWIZEYIMANA Jean Pierre1,2*, ISHIMWE Alain Prudence1, NZABANTERURA Innocent1,3*, BIZIMANA Ezechiel1, UWIHANGANYE Jean Chrysostome1,4, NDAYAMBAJE Jean de Dieu1,4, NZEYIMANA Godefroid1, IRAKOZE Jean Polycarpe Delphin

Ines-Ruhengeri, Faculty of Applied Fundamental Sciences, Department of Biomedical Laboratory Sciences, Rwanda  

King Faisal Hospital, Rwanda 

University Teaching Hospital of Butare, Rwanda 

Rwanda Military Hospital, Rwanda

Article Info:

___________________________________________

Article History:

Received 18 March 2024  

Reviewed 26 April 2024  

Accepted 28 May 2024  

Published 15 June 2024  

___________________________________________

Cite this article as: 

Jean Pierre U, Alain Prudence I, Innocent N, Ezechiel B, Jean Chrysostome U, Jean de Dieu N, Godefroid N, Jean Polycarpe Delphin I, Isolation and Identification of Bacteria from Electronic devices used by Students and Staffs in Ines Ruhengeri, Journal of Drug Delivery and Therapeutics. 2024; 14(6):131-137

DOI: http://dx.doi.org/10.22270/jddt.v14i6.6650                ___________________________________________

*Address for Correspondence:  

UWIZEYIMANA Jean Pierre, Ines-Ruhengeri, Faculty of Applied Fundamental Sciences, Department of Biomedical Laboratory Sciences, Rwanda. 

Abstract

___________________________________________________________________________________________________________________

Background: Electronic devices have become one of the most essential accessories being used in daily lives including schools. Those devices increase the communication and using them makes learning much easier. Microbial contamination of electronic devices and inanimate surface of electronic equipment at INES-Ruhengeri can have a significant role for transmission of pathogenic bacteria. 

Aim: The aim of this study was to isolate and identify bacteria from electronic devices used by students and staffs at INES-Ruhengeri University. 

Methodology: This cross-sectional study was done on 40 electronic devices such as computers, microscopes, global positioning system (GPS) and total stations A random sampling method was applied from sterile swab soaked in peptone water solution by the technique of bearing on the surface of the entire devices and then placed in a transport medium. Collected samples were then taken in INES-Ruhengeri Microbiology laboratory for further experiments. 

Results: All 40 electronic devices were contaminated with bacteria. The most predominant bacteria isolated from electronic devices was S.aureus (25.9%) followed by Bacillus spp(24.1%), K.pneumonia(12.9%), S.epidermis(12.9%), Micrococcus spp(7.4%), P.aeruginosa(5.5%), E.coli(3.3%), Salmonella spp(3.3%) and Shigella spp(3.3%)Antimicrobial susceptibility pattern of selected antibiotics was performed. Norfloxin was the most sensitive antibiotic on all isolated bacteria. Chloramphenicol antibiotic shown no activity over any of the isolated bacteria, to imply that all bacteria had resistance on it. 

 Conclusion: This study shown that there is bacterial contamination to all devices and antibiotic susceptibility test shown that some antibiotics were sensitive and resistant to the isolated bacteria.

Keywords: Bacterial contamination, electronic devices, antimicrobial susceptibility test

 


 

INTRODUCTION

Electronic devices have become one of the most essential accessories being used in daily lives including schools. Those devices increase the communication and using them makes learning much easier1. Although their efficiency in uses, they are also an easier mode of transmission of pathogens and people using them can easily be infected. As the use of electronic devices increase day after day, the concern of associated pathogenic transmissions increase worldwide as well as our country2. It has been reported that each year an average of 47.8 million people get infected by pathogens from known pathogens and unknown agents, and a huge number of them is in Africa3.

 It is clear that most of the infected people each year a huge percentage doesn’t know where and when they were infected3, and this rises a concern of the electronic devises we use every day, including telephones, portable machines, desktops, workshops and laboratory equipment4 for students who accesses them for this case. Pathogens can be transmitted a few ways depending on the type. They can be spread through skin contact, bodily fluids, airborne particles, contact with faeces, and touching a surface touched by an infected person5, and this is a fact that makes them more complicated to prevent transmission from one person to another. 

Bacteria that can cause disease are known as pathogenic bacteria. The majority of bacterial species are relatively harmless and frequently helpful, but some can spread infectious diseases. Less than 100 of these pathogenic species are thought to exist in humans6, Pathogenic bacteria are uniquely adapted and endowed with mechanisms for getting past the body's natural defence. They can enter areas of the body, like the blood, where bacteria are typically absent. Many pathogens travel deeper, spreading through the tissues and disseminating through the lymphatic and blood streams, while others only infiltrate the surface epithelium, skin, or mucous membrane7. Different studies conducted in African countries like Nigeria, Ethiopia and Egypt shows that electronic devices are potential reservoir for number of bacteria, All these studies indicated that the isolated and characterized bacteria from electronic devices known to be clinically significant are Bacillus species, Enterobacter aerogenes, Klebsiella pneumoniae, Proteus species, Pseudomonas aeruginosa, Staphylococcus species and Streptococcus species Therefore, this study aimed at isolation and identification of bacteria from electronic devices used by Students and Staffs in Ines Ruhengeri. 

METHODOLOGY OF THE STUDY

 Study area

The study was conducted at INES-Ruhengeri, located in Musanze District, Northern Province of Rwanda.

Study design 

This study was cross-sectional. It was based on laboratory analysis, which used a variety of tools, supplies, and substances to record, label, obtain, and analyse specimen.

Study population and sample size

The study was carried out on electronic devices used by INES-Ruhengeri. The study was carried out on 40 electronic devices used by students and staffs.

Sample collection  

A total of 40 (n=40) electronic devices were selected to collect sample. Samples were collected using disposable sterile cotton swabs moistened with peptone water from the examined surfaces of 20 computers, 4 microscopes, 6 total stations, and 10 GPS used by students and staffs. For sampling, the electronic devices used by students and staffs were taken on voluntary basis. Samples were collected by thorough rotating a cotton swab on the surface and the back of the electronic devices. Then placed in a transport medium which was peptone water. The samples were labeled appropriately and handled carefully in order to avoid contamination. After, the collected samples were transported at INES-Ruhengeri microbiology laboratory for analysis. 

Laboratory analysis

Culture media preparation

Blood agar (BA), MacConkey agar (MCA) and Mannitol salt agar (MSA) served as culture media onto which electronic devices samples were cultured. Following, the manufacturer’s instructions grams of each of the culture media were separately dissolved in corresponding milliliters of distilled water. This was followed by heating with repeated gentle agitation for 2 min to allow a complete dissolution. The culture media were then autoclaved at 121 °C for 15 min and 15 pounds per square inch. Finally, they were cooled down at 45 °C and poured in different Petri dishes for solidification.

Inoculation, incubation, and Gram staining

Streak method was used to inoculate specimens onto Petri dishes containing blood agar, MCA and MSA. The plates were aerobically incubated at 37 °C for 24 h. Growth was observed in terms of bacterial colonies formation. Identified colonies were separately smeared and fixed on different slides and finally Gram staining technique was performed. After air drying the stained slides were observed under microscope at 100X objective.

Antibiotics susceptibility testing

The antibiotics sensitivity of the isolates was tested against the following antibiotics Gentamicin (10 mcg), Chloramphenicol, Vancomycin, Cefepime, Rifampin, Norfloxin using Kirby Bauer antibiotics disc method. A colony of the test organisms was picked with sterile wire hoop and immersed in peptone water. The turbidity of the suspension was compared against a reference 0.5 McFarland tube. The suspension of the organism was streaked on the entire of Mueller-Hinton agar and the antibiotic disc was placed on the centre of the plate using forceps. The plates were incubated at 37ºc for 24 hours. The diameter of the zone of inhibition was measures using CLSI standard guidelines

Statistical Analysis

The data were analyzed and interpreted using Microsoft Excel 2013 software, the results were presented in figures.

RESULTS

This chapter presents the results of findings based on the isolates of bacteria on electronic devices used by students and staffs at INES-Ruhengeri.

Bacteria isolated from electronic devices

Figure below presents bacteria isolated from the sample collected on electronic devices such as, total station, microscope,computer and G.P.S at INES-Ruhengeri. The prevalence of Staphylococcus aureus was the most predominant with 25.9%the second were Bacillus spp 24.1%, Staphylococcus epidermidis and Klebsiella pneumonia were the thirds at the prevalence of 12.9%, the forth was Micrococcus spp at 7.4%, Pseudomonas aeruginosa was the firth at 5.5%, the lowest prevalence were 3.7% of E.coli, Shigella spp and Salmonella spp.


 

image

Figure 1: All isolated bacteria from electronic devices


 

Prevalence of isolated bacteria from different electronic devices

The figure below represents the prevalence of isolated bacteria based different electronic devices at INES-Ruhengeri: computer, total station, G.P.S and microscopes. There were 20 computers to which 7 bacteria were isolated. The prevalence of Bacillus spp was the most predominant with 26.47%, the second were Staphylococcus aureus at the rate of 23.52% %, Staphylococcus epidermidis was the third at the prevalence of 14.7%, Micrococcus spp was fourth at the rate of 11.76%, Klebsiella pneumonia and Pseudomonas aeruginosa were the firth at prevalence of 8.82% and the lowest prevalence was Salmonella spp at the rate of 5.88%. 

Six total stations were among the devices, 4 bacteria were identified including Staphylococcus aureus and Bacillus spp that had the same prevalence of 33.33%. Klebsiella pneumonia and Staphylococcus epidermidis with the prevalence of 16.66%. The figure also shows 6 bacteria isolated on 10 G.P.S including Klebsiella pneumonia with highest prevalence of 30.00%. E.coli and Staphylococcus aureus with the prevalence of 20.00%. The lowest prevalence was Shigella spp, Bacillus spp and Staphylococcus epidermidis with the prevalence of 10.00%. 4 microscopes were found to have Staphylococcus aureus with the rate of 50.00%, Shigella spp and Bacillus spp were identified with prevalence of 25.00%.


 

image

Figure 2: Isolated bacteria based on different electronic devices

 


 

Antimicrobial susceptibility pattern of selected antibiotics

Figure 3 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on S.aureus. S.aureus was sensitive to two antibiotics Gent(20mm) and NX(30mm), half sensitive to two antibiotics Rif(17mm) and CIP(15mm) and resistance to two antibiotics C(0mm) and VA(14mm).


 

image

Figure 3: Antimicrobial activity on S. aureus


 

The figure 4 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on S.epidermidis. S.epidermidis was resistance to one antibiotic C (0mm), half sensitive to two antibiotics Rif (19mm), CIP (14mm) and sensitive to three antibiotics Gent (23mm), Nx (29mm) and VA (20mm). 


 

 

image

Figure 4: Antimicrobial activity on S.epidermidis


 

The figure 4 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on Micrococcus spp. Micrococcus spp was resistance to three antibiotics Rif (8mm), C (0mm) and CIP (0mm) and sensitive to Gent (22mm), Nx (27mm) and VA (23mm).


 

image

Figure 5: Antimicrobial activity on Micrococcus spp


 

The figure 6 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on K.pneumonia. K.pneumonia resisted to two antibiotics CPM (11mm) and Rif (12mm) and sensitive to four antibiotics Nx (26mm), VA (20mm), CIP (20mm) and Gent (32mm).


 

image

Figure 6: Antimicrobial activity on K.pneumonia

 


 

The figure 7 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on Shigella spp. Shigella spp resisted to three antibiotics Cpm (0mm), Rif (0mm) and VA (0mm) and sensitive to three antibiotics CIP (38mm), Nx (37mm) and Gent (20mm).


 

image

Figure 7: Antimicrobial activity on Shigella spp


 

The figure 8 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on E.coli. E.coli resisted to four antibiotics Gent (0mm), Cpm (0mm), VA (0mm) and Rif (14mm) and sensitive to two antibiotics C (30mm) and Nx (18mm).


 

image

Figure 8: Antimicrobial activity on E. coli

 


 

The figure 9 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on Salmonella spp. Salmonella spp resisted to one antibiotic Cpm (0mm) half sensitive to Rif (19mm) and sensitive to Nx (28mm), VA (25mm), CIP (30mm) and Gent (33mm).


 

image

Figure 9: Antimicrobial activity on Salmonella spp


 

The figure 10 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on Pseudomonas aeruginosa. Pseudomonas aeruginosa resisted to three antibiotics Rif (8mm), C (0mm) and VA (0mm) half sensitive to Gent (17mm) and sensitive to C (24mm) and Nx (26mm).


 

image

Figure 10: Antimicrobial activity on P.aeruginosa.


 

The figure 11 shows the antimicrobial activity of six antibiotics which are Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin on Bacillus spp. Bacillus spp resisted to Cpm (0mm) and Rif (11mm) and sensitive to Gent (17mm), VA (28mm), C (31mm) and Nx (31mm).


 

 

image

Figure 11: Antimicrobial activity on Bacillus spp


 

DISCUSSION

The current life makes it impossible to not meet microbes but microbiological standards and hygiene practices should be adapted by the society for a healthy life. It is to this end that this study revealed high levels of bacterial contamination were detected on electronic devices at INES-Ruhengeri taken as samples in this study to imply Computers, Mobile phones, GPS and Total stations. A total frequency of 54 bacterial isolates comprising 9 different species, were isolated. The isolates showed different species to which some were Gram positive and others Gram negative bacteria, however Gram-positive bacteria were found to occur more than Gram negative bacteria, because most of the skin flora bacteria are Gram positive. 

The species isolated were Staphylococcus aureus, Pseudomonas aeruginosa, Staphylococcus epidermidis, Klebsiella pneumonia, Micrococcus spp, Bacillus spp, Salmonella spp, Escherishia coli and Shigella spp. This result is similar to the findings reported by other researchers that was conducted in Ethiopia, where species like Pseudomonas aeruginosa, Staphylococcus aureus, Escherishia coli were reported in these studies9, as well as this study carried out on electronic divices in INES-Ruhengeri. This is to imply that electronic devices can be a source of infections and transmission of pathogens.

Staphylococcus aureus, with 14 isolates (25.9 %), was the most predominant bacterial contaminant of the electronic devices. This result is similar to the findings reported by that was conducted in Nigeria, where Staphylococcus aureus was predominant. Staphylococcus aureus is a major component of the normal flora of the skin and nostrils, which probably explains its high prevalence as a contaminant, as it can easily be discharged by several human activities, including sneezing, talking and contact with moist skin, It has also been associated with numerous infectious disease conditions and nosocomial infections8. It follows that since users constantly touch interfaces and often sneeze, there is every chance of introducing S. aureus on to the interface in use10

Bacillus spp, with 13 isolates (24.1%), was the second most frequent contaminant of electronic devices isolated. They are mostly found in soil and the gastrointestinal tract of ruminants and humans, to imply that they are passed from person to electronic devices when the person using that device didn’t have a good hand hygiene before using it, as it was found also by the study conducted in Slovakia, on the degree of contamination of cell phone and computer interface and keyboards11

Pseudomonas aeruginosa, showed 3 isolates (5.5%). Pseudomonas aeruginosa is a Gram negative bacteria that different studies reported that it has become an antibiotic resistant bacteria and that causes many infections including being dominant in causing chronic lung infections and contributing to death of patients with chronic fibrosis12. And other studies also presented Pseudomonas aeruginosa as one of the dangerous bacteria and were present on electronic devices8

Staphylococcus epidermidis, Klebsiella pneumonia both showed the same number of isolates 7 each (12.9%) were other major contaminants on electronic devices user interfaces at INES Ruhengeri. The presence of these organisms on electronic hardware user interfaces is a cause for some alarm, because they have been shown to possess the potential to cause infections. These bacteria were also reported in other studies to mean that their origin might be common in different regions and countries13

Micrococcus spp, Salmonella spp, Escherishia coli and Shigella spp also were present where Micrococcus spp showed 4 isolates (7.4%) and Salmonella spp, Escherishia coli and Shigella spp presented the same isolates number 2 each (3.7%). The presence of these bacteria is the indication of faecal contamination on electronic devices14. Moreover, all electronic devices were 100% contaminated because no single device which didn´t show the presence of bacteria. Therefore, from the knowledge of different studies related on bacteria isolation on electronic device, this study complied with them as it presented the image of how electronic devices in INES-Ruhengeri are contaminated with different pathogens. 

Moreover, antimicrobial susceptibility pattern of selected antibiotics such as Gentamicin, Chloramphenicol, Vancomycin, Ciprofloxacin, Rifampin and Norfloxin, was performed to asses that antibacterial activity of these drugs as well as to know the resistant bacterial species on these antibiotics.  

Norfloxin was the most sensitive antibiotic on all isolated bacteria where it exhibited zone of inhibition of 30mm on Staphylococcus aureus, 26mm on Pseudomonas aeruginosa, 29mm on Staphylococcus epidermidis, 27mm on Micrococcus spp, and 31mm on Bacillus spp and 37mm on Shigella spp, it also sensitive on Klebsiella pneumonia, Salmonella spp and E. coli bacteria. This result is in agreement with other study conducted in largest teaching hospital at the northwest of Iran15. 

Gentamicin antibiotic showed high sensitivity of antimicrobial activity on Klebsiella pneumonia and Salmonella spp of 32mm and 33mm of zone of inhibition respectively and E. coli had resistance on this Antibiotic. This result is similar to the findings reported by another researcher, that was conducted in Zimbabwe, where by E.coli were sensitive16. Chloramphenicol antibiotic shown no activity over any of the isolated bacteria, to imply that all bacteria had resistance on it. Vancomycin shown intermediate activity on almost every bacteria except for Pseudomonas aeruginosa, E. coli and Shigella spp that showed resistance on this Vancomycin, this result is in agreement with other study conducted in largest teaching hospital at the northwest of Iran17.

Ciprofloxacin showed high sensitive on all gram negative bacteria such as E.coli, K.pneumonia, Shigella spp, Salmonella spp, P.aeruginosa and Bacillus spp which was gram positive bacteria of 30mm, 20mm, 38mm, 30mm, 24mm and 31mm of inhibition zone respectively, however Micrococcus spp, S.epidermidis and S.aureus  exhibited the resistance on Ciprofloxacin.

CONCLUSION 

The isolation and characterization of bacteria was done based on biochemical test of differential staining. The finding identified S.aureas, Bacillus spp, K.pneumonia, S. epidermis, Micrococcus spp, P.aeruginosa, E.coli, Salmonella spp and Shigella spp bacterial species. This study showed that computers, microscopes, total stations and GPS would serve as a vector to transmit these bacteria from one individual to another. Moreover, electronic devices used by students and staffs at INES-Ruhengeri were found to be contaminated with potentially pathogenic bacteria, highly resistant to some commonly used antibiotics. These electonic devices are therefore potential vehicles for the transmission of clinically important pathogens through human own hands. 

Acknowledgments

We extend our gratitude to Ines Ruhengeri for facilitating this study at their Laboratory facilities.

Author Contributions

All authors contributed equally for this study. 

Conflict of interest

Authors declare no conflict of interest

Fundings 

N/A

REFERENCES

  1. O’Mara, J., & Laidlaw, L. Living in the world: Two literacy researchers reflect on the changing texts and literacy practices of childhood. English Teaching, 2011;  10(4):149–159.
  2. Sofos, J. N. Challenges to meat safety in the 21st century. Meat Science,2008; 78(1–2):3–13. https://doi.org/10.1016/j.meatsci.2007.07.027
  3. Hessling, M., Feiertag, J., & Hönes, K. Pathogens provoking most deaths worldwide. Bioscience Biotechnology Research Communications,2017;10(July),1–7. https://www.researchgate.net/publication/318725602_Pathogens_provoking_most_deaths_worldwide .
  4. Habyarimana, T., Uwizeye, C., Munyeshyaka, E., Izere, C., Mucumbitsi, J., & Yadufashije, C. Bacteriological Study of Electronic Devices Used by Healthcare Workers at Ruhengeri Referral Hospital. BioMed Research International, 2020https://doi.org/10.1155/2020/5872929.
  5. Todd, E. C. D., Greig, J. D., Bartleson, C. A., & Michaels, B. S. Outbreaks where food workers have been implicated in the spread of foodborne disease. Part 6. Transmission and survival of pathogens in the food processing and preparation environment. Journal of Food Protection, 2009;72(1):202–219. https://doi.org/10.4315/0362-028X-72.1.202.
  6. Grist, N. R., Reid, D., Bell, E. J., & Young, A. B. Control of Communicable Disease. The Lancet,1982; 319(8268), 393. https://doi.org/10.1016/S0140-6736(82)91415-5 .
  7. Mabbott, N. A. How do PrPSc prions spread between host species, and within hosts? Pathogens, 2017; 6(4). https://doi.org/10.3390/pathogens6040060 .
  8. Oluduro, A. O., Ubani, K. E., & Ofoezie, E. I. Bacterial assessment of electronic hardware user interfaces in Ile-Ife, Nigeria. Revista de Ciencias Farmaceuticas Basica e Aplicada,2011; 32(3):323–334.
  9. Ragab, R. H., Elgendy, M. Y., Sabry, N. M., Sharaf, M. S., Attia, M. M., Korany, R. M. S., Abdelsalam, M., Eltahan, A. S., Eldessouki, E. A., El-Demerdash, G. O., Khalil, R. H., Mahmoud, A. E., & Eissa, A. E. Mass kills in hatchery-reared European seabass (Dicentrarchus labrax) triggered by concomitant infections of Amyloodinium ocellatum and Vibrio alginolyticus. International Journal of Veterinary Science and Medicine,2022;10(1)l33–45. https://doi.org/10.1080/23144599.2022.2070346 .
  10. Ofoezie, E. I. Bacterial Assessment of Electronic Hardware User Interfaces in Ile-Ife , Nigeria. Nigeria. Revista de Ciencias Farmaceuticas Basica e Aplicada,2011; 32(3):323–334.
  11. Koscova, J., Hurnikova, Z., & Pistl, J. Degree of bacterial contamination of mobile phone and computer keyboard surfaces and efficacy of disinfection with chlorhexidine digluconate and triclosan to its reduction. International Journal of Environmental Research and Public Health,2018; 15(10). https://doi.org/10.3390/ijerph15102238 .
  12. Hancock, R. E. W., & Speert, D. P. Antibiotic resistance in Pseudomonas aeruginosa: Mechanisms and impact on treatment. Drug Resistance Updates,2000; 3(4):247–255. https://doi.org/10.1054/drup.2000.0152 .
  13. Hennequin, C., & Robin, F. Correlation between antimicrobial resistance and virulence in Klebsiella pneumoniae. European Journal of Clinical Microbiology and Infectious Diseases, 2016;35(3):333–341. https://doi.org/10.1007/s10096-015-2559-7 .
  14. Behravesh, C. B., Jones, T. F., Vugia, D. J., Long, C., Marcus, R., Smith, K., Thomas, S., Zansky, S., Fullerton, K. E., Henao, O. L., & Scallan, E. Deaths associated with bacterial pathogens transmitted commonly through food: Foodborne Diseases Active Surveillance Network (FoodNet), 1996-2005. Journal of Infectious Diseases, 2011; 204(2):263–267. https://doi.org/10.1093/infdis/jir263 .
  15. Tacconelli, E., Cataldo, M. A., Dancer, S. J., De Angelis, G., Falcone, M., Frank, U., Kahlmeter, G., Pan, A., Petrosillo, N., Rodríguez-Baño, J., Singh, N., Venditti, M., Yokoe, D. S., & Cookson, B. ESCMID guidelines for the management of the infection control measures to reduce transmission of multidrug-resistant Gram-negative bacteria in hospitalized patients. In Clinical Microbiology and Infection 2014;20(1) https://doi.org/10.1111/1469-0691.12427 .
  16. Hamishehkar, H., Shadmehr, P., Mahmoodpoor, A., & Mashayekhi, S. O. Antimicrobial susceptibility patterns among bacteria isolated from intensive care units of the largest teaching hospital at the northwest of Iran. 52.
  17. Alemu, A., Moges, F., Shiferaw, Y., Tafess, K., Kassu, A., & Anagaw, B. Bacterial profile and drug susceptibility pattern of urinary tract infection in pregnant women at University of Gondar Teaching Hospital, Northwest Ethiopia, 2012.