BackgroundHospitals provide a reservoir of microorganisms, many of which are multi-resistant to antibiotics. Emergence of multi-drug resistant strains in a hospital environment, particularly in developing countries is an increasing problem to infection treatment. This study aims at assessing antibiotic resistant airborne bacterial isolates.MethodsA cross-sectional study was conducted at Wolaita Sodo university teaching and referral Hospital. Indoor air samples were collected by using passive air sampling method. Sample processing and antimicrobial susceptibility testing were done following standard bacteriological techniques. The data was analyzed using SPSS version 20.ResultsMedically important bacterial pathogens, Coagulase negative staphylococci (29.6%), Staphylococcus aureus (26.3%), Enterococci species, Enterococcus faecalis and Enterococcus faecium (16.5%), Acinetobacter species (9.5%), Escherichia coli (5.8%) and Pseudomonas aeruginosa (5.3%) were isolated. Antibiotic resistance rate ranging from 7.5 to 87.5% was detected for all isolates. Acinetobacter species showed a high rate of resistance for trimethoprim-sulfamethoxazole, gentamicin (78.2%) and ciprofloxacin (82.6%), 28 (38.9%) of S. aureus isolates were meticillin resistant, and 7.5% Enterococci isolates of were vancomycin resistant. 75.3% of all bacterial pathogen were multi-drug resistant. Among them, 74.6% were gram positive and 84% were gram negative. Multi-drug resistance were observed among 84.6% of P. aeruginosa, of 82.5% Enterococcii, E. coli 78.6%, S. aureus 76.6%, and Coagulase negative staphylococci of 73.6%.ConclusionsIndoor environment of the hospital was contaminated with airborne microbiotas, which are common cause of post-surgical site infection in the study area. Bacterial isolates were highly resistant to commonly used antibiotics with high multi-drug resistance percentage. So air quality of hospital environment, in restricted settings deserves attention, and requires long-term surveillance to protect both patients and healthcare workers.

Background Malaria is a major health problem in the tropics, with 300–500 million cases and 1.1–2.7 million deaths occurring annually. The hematological alterations associated with malaria infection may vary depending on: level of malaria endemicity, background hemoglobinopathy, malaria immunity, host genetic factors, and parasite strain variations. Objective The aim of the study was to determine the profiles of hematologic parameters in Plasmodium falciparum and Plasmodium vivax malaria infections at Tercha General Hospital, Dawuro Zone, South Ethiopia. Methodology A total of 340 study participants were included in the study, out of which 170 were malaria cases, and the remaining 170 were malaria negatives. An institution-based cross-sectional study was conducted. Malaria diagnosis was based on thick and thin blood films microscopy. Hematological parameters were determined by using an automated, CELL-DYN 1800 hematology analyzer. Malaria parasite density was determined by counting the asexual parasites against 200 WBCs, and then calculated by using the standard formula. The diagnostic accuracy of hematological parameters was measured by computing sensitivity, specificity, and likelihood ratios. Results The mean values of Hgb, Hct, platelet, WBC, RBC, and lymphocyte were significantly lower in malaria patients than malaria negatives. The prevalence of thrombocytopenia and anemia in malaria patients was 84% and 67%, respectively. There was an inverse correlation between P. falciparum and P. vivax parasite density and lymphocyte count, as well as platelet count. Conclusion and recommendation Thrombocytopenia and anemia were the two common hematological abnormalities observed in malaria cases. The platelet count during malaria infection was inversely correlated with the asexual stage parasite density. Patients with acute febrile illness having thrombocytopenia should alert the treating physician about the possibility of malaria infection. Malaria patients should be checked for the presence of hematological abnormalities such as anemia and have to be managed for those abnormalities.