Prevalence of acute respiratory bacterial pathogens in children in Gondar

Mohammed, Endris; Muhe, Lulu; Geyid, Aberra; Asmelash, Tsehaye; Tesema, Tesfaye Sisay; Dejene, Amare; Mekonnen, Yared; Mammo, Kidanemariam; Afework, Aklog; Muzein, Redwan

doi:10.4314/ejhd.v14i2.9923

Cited by 7 publications

(10 citation statements)

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“…This study showed that children with lower anthropometric measures are more prone to get lower respiratory tract infections as these data agrees with other studies 16,26 . The present study demonstrated a significant association of lower respiratory infection with presence of respiratory infection in another household sibling which agrees with other studies 24,27 . The study of Yousif and Khaleq resulted in that children with household members affected with ARI were 4.17 more at risk to develop respiratory infections than those with no such history, but others found week correlation for this factor 24 .…”

supporting

confidence: 94%

“…The study of Yousif and Khaleq resulted in that children with household members affected with ARI were 4.17 more at risk to develop respiratory infections than those with no such history, but others found week correlation for this factor 24 . Maternal factors as maternal education, parity, consanguinity between parents showed to have no significant role in getting respiratory tract infections as this data agreed with other studies done in such associated factors 23,25,27 . Maternal smoking, or smoking in the family showed no effect on getting lower respiratory infections this results also showed by Dlair Chalabi's 23 study.…”

supporting

confidence: 90%

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Influence of feeding pattern on risk factors of lower respiratory tract infections in infants

Zangana

Gardi

2013

ZJMS

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supporting

confidence: 94%

supporting

confidence: 90%

Influence of feeding pattern on risk factors of lower respiratory tract infections in infants

Zangana

Gardi

2013

ZJMS

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“…Convenient sampling technique was used for enrolment of study participants. Using prevalence of ARI of 92.3% of the study done in Gondar of Ethiopia [19] , margin of error =5%, and 95% confidence level, a total of 109 sample size was determined.…”

Section: Study Settingmentioning

confidence: 99%

“…About 72.5% of the participants were come from Debre Berhan town and the rest were from outside of the town (Sheno, Shewa Robbit, Chacha). Forty one (37.6%) of the participants were illiterate and the rest 18.3% [20] , 17.4% [19] and 26.6% [29] were completed their primary, secondary and college level of their education. In (Table 1) other socio-demographic data have been presented.…”

Section: Socio-demographic Characteristics Of Study Participantsmentioning

confidence: 99%

“…Different studies done elsewhere in the world showed varied bacterial profile of upper respiratory tract infections and antimicrobial resistance patterns [11][12][13][14][15][16][17] . In Ethiopia two old studies [18,19] showed the occurrence and the prevalence of bacterial isolates such as H. influenzae, Moraxella catarrhalis, and S. pneumoniae. Moreover a study that had done in other area of the country showed 11.3% prevalence of group A streptococcus among children with pharyngitis [20] .…”

Section: Introductionmentioning

confidence: 99%

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Bacterial Profile and Antimicrobial Resistance Patterns In Patients With Upper Respiratory Tract Infections In Debre Berhan Referral Hospital, Ethiopia

Zelelie

Mekonnen

2019

Egyptian Journal of Ear, Nose, Throat and Allied Sciences

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Background: Upper respiratory tract infections have been regarded as the most frequent illnesses affecting people worldwide. Data about bacterial profile and current antibiotics resistance status for such infections is scarce in Ethiopia. Objective: This study was done to determine bacterial profile and their antimicrobial resistance patterns in patients with upper respiratory tract infections. Methods: A cross sectional study design was used and was conducted in Debre Berhan, Ethiopia from October 2016 to September 2017. Patients with upper respiratory infections presented to outpatient department were enrolled for the study. Socio-demographic and clinical data were collected using standardize questionnaires. Clinical samples of throat swabs were collected and transported to the microbiology laboratory for processing. Data was analyzed using SPSS version 20. Results: A total of 109 patients, almost equal number of male (49.5%) and female (50.5%) participants were involved in the study. Majority (62.4%) of the participants were with age of below 5 years old. The culture positivity was 36.7%. Among all bacterial isolates (n=40) the predominant isolate was Streptococcus pyogenes (42.5%), and followed by Streptococcus pneumoniae (22.5%), Staphylococcus aureus (15%), Haemophilus influenzae (12.5%), and Klebsiella pneumoniae (7.5%). Overall antimicrobial resistant pattern seen in all bacterial isolates ranges from 0 % to 66.6%. High resistances in all isolates have been seen. Cough and watery eye were found as predictor variables. Conclusion: High number of bacterial isolates and emergence of resistant strains have been found. We recommend to taken this in accounting during medical decision, guideline development and designing interventional strategies.

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Prevalence and risk factors of pneumococcal nasopharyngeal carriage in healthy children attending kindergarten, in district of Arsi Zone, South East, Ethiopia

Abaye

Fekadu²,

Haji³

et al. 2019

BMC Res Notes

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Objective S. pneumoniae responsible for a range of respiratory infections from uncomplicated to severe invasive pneumococcal disease. Nasopharyngeal specimens were collected from children attending kindergarten and aged ≤ 6 years from February, 2017 to June, 2017 to assess the nasopharyngeal carriage and antimicrobial susceptibility pattern of S. pneumoniae . Parents of children interviewed using questionnaire and check list to identify associated factors. An antimicrobial susceptibility test performed using disk diffusion method. Results Overall pneumococcal carriage were 18.4% (88/477). No significant variation in colonization based on sex and age of children. Children living with siblings (1–2) < 6 years in household (adjusted odd ratio = 16.06; 95% confidence interval 6.21–41.55) and > 5 person per household (adjusted odd ratio = 3.27; 95% confidence interval 1.50–7.14) were associated with higher S. pneumoniae carriage. Non- exclusive breast feeding (adjust odd ratio = 6.00; 95% confidence interval 3.33–10.80) and horse cart transportation (adjusted odd ratio = 2.75; 95% confidence interval 1.05–7.22) increases carriage. S. pneumoniae showed 21 (23.9%) resistance to erythromycin, 18 (20.4%) to amoxicillin, 13 (15.0%) to penicillin, and the least 1 (1.1%) to augmentin.

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Prevalence of acute respiratory bacterial pathogens in children in Gondar

Cited by 7 publications

References 0 publications

Influence of feeding pattern on risk factors of lower respiratory tract infections in infants

Influence of feeding pattern on risk factors of lower respiratory tract infections in infants

Bacterial Profile and Antimicrobial Resistance Patterns In Patients With Upper Respiratory Tract Infections In Debre Berhan Referral Hospital, Ethiopia

Prevalence and risk factors of pneumococcal nasopharyngeal carriage in healthy children attending kindergarten, in district of Arsi Zone, South East, Ethiopia

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