ABSTRACT
Background: The quinolone group, a synthetic antimicrobial, is widely used worldwide to treat many diseases, including those caused by Gram-negative bacteria. Escherichia coli and others are among the bacteria that produce quinolone resistance genes (qnr) such as qnrA and aac(6?)-Ib-cr. Objective: The present study aimed to the isolate Escherichia coli from patients attending some Hospitals in Wad Medani city, identification of drug resistance patterns and detection of the frequency of quinolones resistance genes; qnrA and aac(6?)-Ib-cr among isolated strains. Methods: A cross-sectional descriptive, hospital-based study included 119 Escherichia coli strains was conducted. A designed questionnaire used for demographic data collection and the attitude toward antimicrobials usage. Clinical specimens were processed for aerobic bacterial isolation and identification. Antimicrobial sensitivity performed by Kirby Bauer disc diffusion technique according to the CLSI guidelines. Presence of qnrA and aac(6?)-Ib-cr genes was assessed by multiplex PCR. Results: Most strains of Escherichia coli originated from urine 53.8% (64/119) and wounds 42.9% (51/119) specimens. Meropenem had the best effect against tested strains with susceptibility of 85% (101/119). Multiplex PCR assay, using specific primers, demonstrated that 41.2% (49/119) and 37.8% (45/119) of isolated Escherichia coli possessed qnrA and aac(6?)-Ib-cr genes respectively. Conclusion: The high rate of qnrA and aac (6)-Ib-cr genes among Escherichia coli necessitate the usage of molecular tools in detecting the genetic determinants of drug resistance microorganisms in countries such as Sudan.
ABSTRACT
Floods, Landslides, Forest fire, Volcanoes, Hurricanes and Tsunami among others are indeed considered as the most natural hazards that cause loosed of resources which includes human lives. Hadejia-Jama’ are River Valley has a well-known seasonal occurrence of floodings with maximum interval of five years incidents historically. Among these disasters floods especially along the river basin particularly in developing nations like Nigeria became a regular disaster with state of frequent occurrences almost seasonally. This study assessed pre-flood and post-flood nature of floodplain along Hadejia-Jama’ are from Jigawa to Tiga Dam in Kano State. Remotely sensed sentinel 2 satellite data and ALOS Digital Surface Model (DSM) was used for the study. The sentinel images were subjected to image pre-processing activities such as geometric correction and radiometric correction. To focus on the flood plain, a 5 km buffer of the area around Hadejia-Jama’are River Basin from Jigawa to Tiga dam were extracted from the data by using the extract/clip tools in ArcGIS 10.3 software. Findings of the study revealed that dominant land use along the floodplain prior to flood include bare surface, patches of agriculture/vegetation, settlement, water body. The study also revealed that patterns of flood damages vary irrespective of the risk with areas like Dawakin Kudu and Garun mallam were witnessing more flood damages than Miga LGA of Jigawa State. It is, therefore, concluded that Earth observation and its applications are useful tools/methods for flood damages assessment and evaluation as well as a basis for taking proactive steps in mitigating flood hazard along floodplains and another flood prone environment.