Faculty of Health Scienceshttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/112024-03-29T14:15:55Z2024-03-29T14:15:55ZKnowledge, Attitude and Practices Towards COVID-19 Vaccination Among Students and Staff at the Islamic University in UgandaNaziru, RashidNabukeera, MadinahKisambira, Zubair JauharaZziwa, SwaibuNdagire, Mariam AbbasiNakayiza, Faridahhttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/8262023-12-21T00:00:36Z2023-11-03T00:00:00ZKnowledge, Attitude and Practices Towards COVID-19 Vaccination Among Students and Staff at the Islamic University in Uganda
Naziru, Rashid; Nabukeera, Madinah; Kisambira, Zubair Jauhara; Zziwa, Swaibu; Ndagire, Mariam Abbasi; Nakayiza, Faridah
Whereas the burden of COVID-19 has greatly reduced worldwide in terms of morbidity and mortality, its impact is still affecting many countries economically, politically as well as in the healthcare systems. There is therefore a need to ensure that the community is protected and safe against the resurgence of the COVID-19 by embracing the vaccination against the disease. Taking up campaign messages about the COVID-19 vaccine, requires the community to have a certain level of understanding and have a good or positive attitude towards the vaccines, all of which influence good practices.
Coronaviruses are a large group of viruses that are rather common throughout the world. Evidence has shown that the virus is transmitted through birds and mammals, with humans being particularly vulnerable to the infection and transmission of the virus. Cases of pneumonia-like illness of unknown cause were observed in Wuhan city in China and reported to the World Health Organization (WHO) which subsequently declared it a public health emergency of international concern and a global
pandemic on 30th January 2020 and 11th march 2020 respectively. The disease is characterized by dry cough and shortness of breath with difficulty in breathing and at least 2 of the following; fever, chills, muscle pain, headache, sore throat and loss
of taste and smell.
2023-11-03T00:00:00ZSelf-Reported Hepatitis B Vaccination Uptake and Associated Factors Among Adults Attending Budwale Health Center in Mbale District UgandaNaziru, RashidDdamulira, John BoscoKabwama Ndugwa, StevenNamutundu, JulianaSsentogo, JuliusDaama, AlexAjambo, AidahNamatovu, JosephineMutaryebwa, FelixAhumuza, RonaldBatte, JamesNakayiza, FaridahNdagire, Mariam Abbasihttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/8252023-12-21T00:00:35Z2023-08-21T00:00:00ZSelf-Reported Hepatitis B Vaccination Uptake and Associated Factors Among Adults Attending Budwale Health Center in Mbale District Uganda
Naziru, Rashid; Ddamulira, John Bosco; Kabwama Ndugwa, Steven; Namutundu, Juliana; Ssentogo, Julius; Daama, Alex; Ajambo, Aidah; Namatovu, Josephine; Mutaryebwa, Felix; Ahumuza, Ronald; Batte, James; Nakayiza, Faridah; Ndagire, Mariam Abbasi
The introduction of Hepatitis B vaccination in the general community requires understanding the factors that determines its uptake. This is specifically essential for planning, implementation and evaluation of the effectiveness of the program. This study investigated the uptake and associated factors of Hepatitis B Vaccination among clients attending Budwale Health Center in Eastern Uganda
Hepatitis B is a viral infection caused by Hepatitis B virus (HBV) that attacks the liver and can cause both acute and chronic disease. Globally it is estimated that 296M people are living with Chronic form of the infection while 1.5million new cases are identified annually
2023-08-21T00:00:00ZPrevalence of Bacteria Contaminating the Hands of Healthcare Workers: An Experience of Masaka Regional Referral Hospital, UgandaNazziwa, AishaLwere, KamadaAnkarali, HandanAnkarali, Seyithttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/8222022-12-28T00:00:30Z2022-04-02T00:00:00ZPrevalence of Bacteria Contaminating the Hands of Healthcare Workers: An Experience of Masaka Regional Referral Hospital, Uganda
Nazziwa, Aisha; Lwere, Kamada; Ankarali, Handan; Ankarali, Seyit
Background: The pathogenic bacterium on the hands of healthcare workers (HCWs) is considered as the main route of spread of nosocomial infections. Objectives:To determine bacterial contamination of the hands of healthcare workersduring routine patient care in Masaka Regional Referral Hospital, Uganda. Methods: This cross-sectional, descriptive study included 70 health care workers, who were actively providing healthcare in the hospital. Doctors, nurses, midwives,laboratory technicians, and pharmacistsof the hospital were included in the study. The hand impressions of the participants were taken on 5% blood agar and processed as per guidelines. The criteria used for identification of bacteria werebased on colony morphology, Gram staining, catalase test (for Gram-positive cocci), coagulase test (for suspected Staphylococcus aureus) and other standard biochemical tests. Results: Out of 70 samples, 62(88.6)% showed growth of microorganisms. The most commonly isolated genus was Bacillus found in 46(74.2%) of isolates, followed by Coagulase negative Staphylococcus(CoNS) found in 39(62.9%) of isolates, Micrococcus 18(29%) of isolates, Pseudomonas found in 13(21%) isolates, Acinetobacter 9(14.5%) and Staphylococus 7(11.3%). Bacillus was found in all 5 midwives (100%), 3(75%) of drug dispensary workers, 9(69.2%) doctors, 3(60%) laboratory technicians and 25(64.1%) of nurses. Prevalence of Coagulase negative Staphylococcus was also found to be highest in 9(69.2%) of doctors, 2(40%) laboratory attendants, 4(10%) laboratory technicians, 3(60%) midwives and 20(51,3%) nurses. The prevalence rate of pathogenic bacteria is highest among doctors followed by nurses.Conclusion: The bacterial contamination on the hands of healthcare workers remains high and measures need to be taken to effectively implement hand hygiene.
The pathogenic bacterium on the hands of healthcare workers (HCWs) is considered as the main route of spread of nosocomial infections
2022-04-02T00:00:00ZOn the Use of Bayesian Network Classifiers to Classify Patients with Peptic Ulcer Among Upper Gastrointestinal Bleeding PatientsNazziwa, AishaMohd, Bakri Adamhttp://ir.iuiu.ac.ug/xmlui/handle/20.500.12309/8212022-12-28T00:00:30Z2012-01-01T00:00:00ZOn the Use of Bayesian Network Classifiers to Classify Patients with Peptic Ulcer Among Upper Gastrointestinal Bleeding Patients
Nazziwa, Aisha; Mohd, Bakri Adam
A Bayesian network classifier is one type of graphical probabilistic models that is capable of representing relationship between variables in a given domain under study. We consider the naïve Bayes, tree augmented naïve Bayes (TAN) and boosted augmented naïve Bayes (BAN) to classify patients with peptic ulcer disease among upper gastro intestinal bleeding patients. We compare their performance with IBk and C4.5. To identify relevant variables for peptic ulcer disease, we use some methodologies for attributes subset selection. Results show that, blood urea nitrogen, hemoglobin and gastric malignancy are important for classification. BAN achieves the best accuracy of and AUC of (0.81) followed by TAN with 72.4 and 0.76 respectively among Bayesian classifiers. While the accuracy of the TAN is improved with attribute selection, the BAN and IBK are better off without attribute selection.
A Bayesian network classifier is one type of graphical probabilistic models that is capable of representing relationship between variables in a given domain under study
2012-01-01T00:00:00Z