Nasopharyngeal carriage of Streptococcus pneumoniae, its associated factors, and antimicrobial susceptibility patterns among school children in Babile district, eastern Ethiopia

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Publicado en:PLoS One vol. 20, no. 12 (Dec 2025), p. e0337950
Autor principal: Fuad Abdi Mohammed
Otros Autores: Sarkar, Rajesh, Ayele, Firayad, Urgesa, Kedir
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024 7 |a 10.1371/journal.pone.0337950  |2 doi 
035 |a 3279858017 
045 2 |b d20251201  |b d20251231 
084 |a 174835  |2 nlm 
100 1 |a Fuad Abdi Mohammed 
245 1 |a Nasopharyngeal carriage of <i>Streptococcus pneumoniae,</i> its associated factors, and antimicrobial susceptibility patterns among school children in Babile district, eastern Ethiopia 
260 |b Public Library of Science  |c Dec 2025 
513 |a Journal Article 
520 3 |a BackgroundStreptococcus pneumoniae colonization is a growing concern globally, including in Ethiopia. School-aged children are a key reservoir that can lead to endogenous infections and a potential source for the transmission in the community. However, little is known about its nasopharyngeal carriage rates in eastern Ethiopia. This study aimed to determine the nasopharyngeal carriage of Streptococcus pneumoniae, associated factors, and antimicrobial susceptibility patterns among primary school children in Babile District, Eastern Ethiopia.MethodsA cross-sectional study was conducted at primary schools in the Babile district, Eastern Ethiopia, from November 15, 2022, to January 8, 2023. A systematic random sampling technique was used to enroll 337 schoolchildren. Data on sociodemographic and a potenail associated factors was collected using structured questionnaires. Nasopharyngeal swab samples were collected, transported in Amies medium, and cultured on blood and chocolate agar. Streptococcus pneumoniae was identified based on colony morphology, Gram staining, hemolysis, and biochemical tests. Antimicrobial susceptibility testing was performed using the Kirby-Bauer disk diffusion method. Data was entered in EpiData and analyzed in SPSS. Bivariate and multivariable logistic regression was used to identify factors associated with pneumococcal carriage, with statistical significance set at p < 0.05 and 95% CI.ResultsOverall nasopharyngeal carriage of Streptococcus pneumoniae was 16% (54/337) (95% CI: 12.0–20.0). The ages of the children ranged from 7 to 17 years, with a mean age of 12.75 years (SD ± 2.56). Passive smoking (AOR = 2.86, 95% CI: 1.45–5.67), single room house (AOR = 2.69, 95% CI: 1.32–5.49), greater than or equal to two siblings under 5 years old in the house(AOR = 4.8, 95% CI: 1.88–12.25), and previous respiratory tract infection (AOR = 3.24, 95% CI: 1.66–6.32) were significantly associated with nasopharyngeal carriage of Streptococcus pneumoniae. The isolated Streptococcus pneumoniae showed higher drug resistance to Tetracycline 23 (42.6%) and Trimethoprim-sulfamethoxazole (TMP-SMX) 18 (33.3%) and was found to be highly susceptible to oxacillin 32(72.2%), Vancomycin 41(75.9%) and Erythromycin 44 (81.48%).ConclusionA considerable proportion of asymptomatic nasopharyngeal carriage of Streptococcus pneumoniae in school children was associated with having a history of respiratory tract infection, being passive smokers, having greater than or equal to two siblings under 5 years old in the house, and living in a single-room house. A higher resistance of isolated Streptococcus pneumoniae was observed to tetracycline and trimethoprim-sulfamethoxazole. Thus, it is necessary to regularly assess the trend of antibiotic resistance andthe prevalence of pneumonia among asymptomatic children, and it is impretive to focus on modifiable associated factors in controlling the diseases. 
651 4 |a Africa 
651 4 |a Ethiopia 
653 |a Passive smoking 
653 |a Streptococcus infections 
653 |a Siblings 
653 |a Drug resistance 
653 |a Erythromycin 
653 |a Questionnaires 
653 |a Families & family life 
653 |a Vancomycin 
653 |a Antibiotics 
653 |a Random sampling 
653 |a Sampling techniques 
653 |a Respiratory tract infection 
653 |a Schools 
653 |a Oxacillin 
653 |a Bacteria 
653 |a Sample size 
653 |a Trimethoprim 
653 |a Statistical sampling 
653 |a Trimethoprim-sulfamethoxazole 
653 |a Children & youth 
653 |a Bivariate analysis 
653 |a Parents & parenting 
653 |a Antibiotic resistance 
653 |a Population 
653 |a Quality control 
653 |a Laboratories 
653 |a Meningitis 
653 |a Statistical analysis 
653 |a Disease control 
653 |a Consent 
653 |a Sulfamethoxazole 
653 |a Pneumonia 
653 |a Houses 
653 |a Children 
653 |a Sampling methods 
653 |a Elementary schools 
653 |a Sociodemographics 
653 |a Respiratory tract 
653 |a Antimicrobial agents 
653 |a Data collection 
653 |a Biochemical tests 
653 |a Respiratory diseases 
653 |a Streptococcus pneumoniae 
653 |a Social 
700 1 |a Sarkar, Rajesh 
700 1 |a Ayele, Firayad 
700 1 |a Urgesa, Kedir 
773 0 |t PLoS One  |g vol. 20, no. 12 (Dec 2025), p. e0337950 
786 0 |d ProQuest  |t Health & Medical Collection 
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