ArticleAnnals of clinical microbiology and antimicrobials2017
Prevalence of current patterns and predictive trends of multidrug-resistant Salmonella Typhi in Sudan.
Article in Annals of clinical microbiology and antimicrobials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Typhoid Fever in the Eastern Mediterranean Region: A Systematic Review, 1990-2021.The American journal of tropical medicine and hygiene · 2023Pooled it
- The surveillance of antimicrobial resistance in wastewater from a one health perspective: A global scoping and temporal review (2014-2024).One health (Amsterdam, Netherlands) · 2025Article
- Molecular Epidemiology ofMicroorganisms · 2022Article
- Pattern and Trends in Adult Hospitalization/Admission and Mortality Among Medical Ward Inpatients at Gadarif Hospital in Eastern Sudan: A Four-Year Retrospective Study.International journal of general medicine · 2022Article
- A Prediction Method for Animal-Derived Drug Resistance Trend Using a Grey-BP Neural Network Combination Model.Antibiotics (Basel, Switzerland) · 2021Article
- Induction of Hypergammaglobulinemia and Autoantibodies byFrontiers in immunology · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnteric fever has persistence of great impact in Sudanese public health especially during rainy season when the causative agent Salmonella enterica serovar Typhi possesses pan endemic patterns in most regions of Sudan - Khartoum.
objectivesThe present study aims to assess the recent state of antibiotics susceptibility of Salmonella Typhi with special concern to multidrug resistance strains and predict the emergence of new resistant patterns and outbreaks.
methodsSalmonella Typhi strains were isolated and identified according to the guidelines of the International Standardization Organization and the World Health Organization. The antibiotics susceptibilities were tested using the recommendations of the Clinical Laboratories Standards Institute. Predictions of emerging resistant bacteria patterns and outbreaks in Sudan were done using logistic regression, forecasting linear equations and in silico simulations models.
resultsA total of 124 antibiotics resistant Salmonella Typhi strains categorized in 12 average groups were isolated, different patterns of resistance statistically calculated by (y = ax - b). Minimum bactericidal concentration's predication of resistance was given the exponential trend (y = n e
conclusionThis study assesses the prediction of multi-drug resistance among S. Typhi isolates by applying low cost materials and simple statistical methods suitable for the most frequently used antibiotics as typhoid empirical therapy. Therefore, bacterial surveillance systems should be implemented to present data on the aetiology and current antimicrobial drug resistance patterns of community-acquired agents causing outbreaks.
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