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BACKGROUND: Neonatal sepsis is defined as an infection-related condition characterized by signs and symptoms of bacteremia within the first month of life. It is the leading cause of mortality and morbidity among newborns. While several studies have been conducted in other parts of world to assess the usefulness of complete blood count parameters and hemogram-derived markers as early screening tools for neonatal sepsis, the associations between sepsis and its complications with these blood parameters are still being investigated in our setting and are not yet part of routine practice. AIM: To evaluate the diagnostic significance of complete blood cell count hemogram-derived novel markers for neonatal sepsis among neonates attending public hospitals in the southwest region of Oromia, Ethiopia, through a case control study. METHODS: A case control study was conducted from October 2021 to October 2023 Sociodemographic, clinical history, and laboratory test results data were collected using structured questionnaires. The collected data were entered into Epi-data 3.1 version and exported to SPSS-25 for analysis. Chi-square, independent sample t-test, and receiver operator characteristics curve of curve were used for analysis. A P-value of less than 0.05 was considered statistically significant. RESULTS: In this study, significant increases were observed in the following values in the case group compared to the control group: In white blood cell (WBC) count, neutrophils, monocyte, mean platelet volume (MPV), neutrophils to lymphocyte ratio, monocyte to lymphocyte ratio (MLR), red blood cell width to platelet count ratio (RPR), red blood width coefficient variation, MPV to RPR, and platelet to lymphocyte ratio. Regarding MLR, a cut-off value of ≥ 0.26 was found, with a sensitivity of 68%, a specificity of 95%, a positive predictive value (PPV) of 93.2%, and a negative predictive value (NPV) of 74.8%. The area under the curve (AUC) was 0.828 (P < 0.001). For WBC, a cut-off value of ≥ 11.42 was identified, with a sensitivity of 55%, a specificity of 89%, a PPV of 83.3%, and a NPV of 66.4%. The AUC was 0.81 (P < 0.001). Neutrophils had a sensitivity of 67%, a specificity of 81%, a PPV of 77.9%, and a NPV of 71.1%. The AUC was 0.801, with a cut-off value of ≥ 6.76 (P = 0.001). These results indicate that they were excellent predictors of neonatal sepsis diagnosis. CONCLUSION: The findings of our study suggest that certain hematological parameters and hemogram-derived markers may have a potential role in the diagnosis of neonatal sepsis.
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Haemonchus contortus is a blood sucking parasite resulting a massive economic loss in tropical and subtropical sheep rearing areas. A cross-sectional study was conducted to estimate the prevalence of haemonchosis and its predictors at Bahir Dar municipal abattoir, northwestern Ethiopia, from December 2022 to April 2023. A total of 378 abomasum of sheep were taken by using systematic random sampling and inspected according to standard procedures. Accordingly, the findings of this study revealed an overall prevalence of 34.40% (30/378) (95% CI: 29.75-39.35). The presence of H. contortus in female sheep (46.41%) was significantly higher than in male (23.35%) (P < 0.001). The same is true; prevalence of haemonchosis in young (<1 year) sheep was 43.33% significantly (P < 0.001) higher than that of adult (≥1 year) which was 26.26%. Based the origin of the animals in the current study, it was nonsignificant variation (P = 0.386). The current study depicted that H. contortus infection is a common parasitic disease and requires remarkable attention to the prevention and control of haemonchosis at the study area.
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Air pollution is a critical problem in densely populated urban areas, with traffic significantly contributing. To mitigate the adverse effects of air pollution on public health and the environment, there is a growing need for the real-time monitoring and detection of pollution spikes in transportation. This paper presents a novel approach to using Internet of Things (IoT) edge networks for the real-time detection of air pollution peaks in transportation, specifically designed for innovative city applications. The proposed system uses IoT sensors in buses, cabs, and private cars. These sensors are equipped with air quality monitoring capabilities, including the measurement of pollutants such as particulate matter (PM2.5 and PM10), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide (SO2), and carbon dioxide (CO2). The sensors continuously collect air quality data and transmit them to edge devices within the transportation infrastructure. The data collected by these sensors are analyzed, and alerts are generated when pollution levels exceed predefined thresholds. By deploying this system within IoT edge networks, transportation authorities can promptly respond to pollution spikes, improving air quality, public health, and environmental sustainability. This paper details the sensor technology, data analysis methods, and the practical implementation of this innovative system, shedding light on its potential for addressing the pressing issue of transportation-related pollution. The proposed IoT edge network for real-time air pollution spike detection in transportation offers significant advantages, including low-latency data processing, scalability, and cost-effectiveness. By leveraging the power of edge computing and IoT technologies, smart cities can proactively monitor and manage air pollution, leading to healthier and more sustainable urban environments.
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Background: Diabetes is a chronic metabolic syndrome that is a global public health problem. Studies have used hematological parameters and hemogram-derived markers as predictors of poor glycemic and microvascular complications status in diabetics. However, the tendency to use these parameters is not fully evaluated in our context, and the evidence is inadequate. This study aimed to assess the hematological profiles and prognostic role of hemogram-derived novel markers in diabetes mellitus and its complications among DM patients at Bishoftu General Hospital, Ethiopia. Methods: A comparative cross-sectional study was conducted among 261 participants from June 15 to August 12, 2022. A systematic random sampling technique was used to select participants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Hematological parameters and fasting blood glucose levels were determined from blood using Sysmex-XN550 and Cobas C311 analyzers, respectively. Blood smear was used to check Hematology analyzer output, and to screen participants for malaria parasites. Collected data were entered into Epi-data 3.1 and exported to SPSS-25. Data were analyzed by Chi-square, Mann-Whitney U-test, Kruskal-Wallis test, Post hoc test, and ROC curve. A P-value <0.05 was considered statistically significant. Results: Total WBC, neutrophils, Monocyte, NLR, MLR, MPVLR, and PLR were significantly higher in poor glycemic and complicated T2DM; meanwhile, measured RBC parameters, RBC indices values were significantly lower in poor glycemic and complicated T2DM. The NLR, MLR, MPVLR, PLR, and NLR, MLR, MPVLR, RPR values were identified as predictors of poor glycemic and complication status in diabetic patients, respectively. Conclusion: Significant increment of some hematological parameters and hemogram-derived markers, and their role in predicting poor glycemic and microvascular complications were identified in diabetic patients. Routine screening of hematological parameters and use of hemogram-derived markers for monitoring of altered health status in DM is very important in the improvement of patient quality of life.
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Camels are the most efficient domesticated animals in arid and semiarid areas of the world. In Ethiopia, they are the main livestock kept to sustain the livelihoods of pastoralists, as camels are used for milk and meat production and also for transportation. However, she-camel reproductive diseases are one of the major constraints for camel-producing communities. A cross-sectional study was conducted from November 2018 to December 2019 to identify and characterize pathological lesions and isolate possible bacteria associated with reproductive diseases and disorders in she-camels slaughtered at Dire Dawa and Babille municipal abattoirs. A total of 155 study animals were examined by recruiting all she-camels slaughtered during every abattoir visit. Overall, 562 reproductive organs, the ovaries, oviducts, uterus, and cervix, were examined through observation, palpation, and incision, and the animal- and organ-level pathological lesion prevalence were found to be 29% and 64.6%, respectively. Degenerative changes, inflammatory lesions (endometritis and salpingitis), growth disturbances (e.g., ovarian hypoplasia), and noninflammatory lesions (e.g., noninflammatory edema) were the identified pathological lesions. Occurrences of pathological changes among reproductive organs had differences where significantly the highest proportion (p = 0.00) was observed in the uteri. Of the 119 microbiological samples processed, 77.3% were positive for single or mixed bacterial genera, from which 7 different bacterial isolates and 14 other unidentified Gram-negative bacteria were detected. E. coli, Salmonella, and Staphylococcus spp. were the most frequently isolated organisms with 28.2%, 26.9%, and 12.8% frequencies, respectively. The result of the questionnaire survey showed 74% of the respondents had culled the she-camel at productive age because of poor reproductive performance associated with refused mating, abortion, and repeat breeding (poor conception). On the other hand, a majority of camel herders had poor to no information and access to modern veterinary services; nevertheless, they had good indigenous knowledge on how to manage reproductive abnormalities. Considering the importance of camels in our study area, further research on camel reproductive diseases and abnormalities with wider sample and epidemiology need to be conducted using molecular and hormonal assay techniques.
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Gastrointestinal nematodes (GINs) are the major limiting factor for the successfulness of livestock production throughout the world. Emergence of resistance strains as well as scarcity and high cost of the currently available drugs has led to the evaluation of other alternative helminth control options, mainly from plants. The current study is aimed at investigating the in vitro anthelmintic efficacy of crude methanolic extracts of two traditionally important medicinal plants, Artemisia herba-alba and Punica granatum, against Haemonchus contortus using adult motility assay (AMA) and egg hatch inhibition assay (EHIA). Four graded concentrations of the extracts were tested for both the AMA (10, 5, 2.5, and 1.25 mg/mg) and EHIA (0.1, 0.25, 0.5, and 1 mg/mL) in replicates. Albendazole and phosphate-buffered saline (AMA) or distilled water (EHIA) were used as the positive and negative controls, respectively. The crude extracts of A. herba-alba and P. granatum exhibited a potential anthelmintic activity at all dose levels in a concentration- and time-dependent fashion. The highest concentration (10 mg/mL) of all the extracts caused a significantly (p < 0.05) superior nematocidal activity compared to the negative control. Moreover, significant and concentration-dependent egg hatching inhibition effect was observed from both plant extracts. Maximal (98.67%) egg hatching inhibition effect was exhibited by the flower extract of A. herba-alba at 1 mg/mL concentration. The relative egg hatch inhibition efficacy indicated that both plants caused a significantly (p < 0.05) greater egg hatch inhibition within 48 hr of exposure. The current study validated the traditional use of both plants as a natural anthelmintic against H. contortus justifying a need to undertake detail pharmacological and toxicological investigation on both plants.
