Browsing by Author "Nazziwa, Aisha"

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ANALYSIS OF NON-LINEAR TRANSMISSION OF EBOLA VIRUS DISEASE AND THE IMPACT OF PUBLIC HEALTH CONTROL INTERVENTIONS IN HOSPITAL
(Islamic University Journal, 2015-06) Nazziwa, Aisha; Babangida, Bala Garba; Noor, Kasim; Adiukwu, Roseline Nwawure; Ngaloru, Stellamaris Ngozi; Mafuyai, Yaks Mabur; Obi, Edith Nkeiru; Onwunali, Magnus Chibueze; Obanny, Adolphus
Epidemiological data on infection outbreaks are challenging to analyze, despite improved control interventions Ebola virus Disease (EVD) remains a serious risk in Guinea (West Africa) with 607 reported cases and 406 deaths recorded (66.8%) as of 20th August, 2014.In this study we use modified epidemiological modeling SEIR to analyze data from an Ebola outbreak in Guinea from 22nd march – 20th August,2014 We use Bayesian inference with non – linear transmission times incorporated into augmented dataset as latent variables. Despite the lack of detailed data, most data sets record the time on symptom onset but transmission time is not observable. We inferred from such dataset records using structured Hidden Markov Models HMMS. Infectivity is determined before and after public health interventions for hospitalized cases. We estimate the number of secondary cases generated by an index case in the absence of control interventions (Ro). Our estimate of Ro is 1.57 (CI95 0.82-1.92) and the mean value of estimated detection rate is 0.75 (CI95 0.59 -0.93) with a coefficient of correlation between 𝛽 and v as – 0.23. We perform sensitivity analysis of the final epidemic size tothe time of intervention, which ensures the uniqueness and the global stability of the positive endemic equilibrium state.
Analysis of non-linear transmission of EBOLA virus disease and the impact of public health control interventions in hospital: the case of Guinea (West Africa) outbreak 2014.
(2016) Babangida, Bala Garba; Nazziwa, Aisha; Noor, Kasim; Adiukwu, Roseline Nwawure; Ngaloru, Stellamaris Ngozi; Mafuyai, Yaks Mabur; Obi, Edith Nkeiru; Onwunali, Magnus Chibueze; Obanny, Adolphus
ARTICLE ABSTRACT Epidemiological data on infection outbreaks are challenging to analyze, despite improved control interventions Ebola virus Disease (EVD) remains a serious risk in Guinea (West Africa) with 607 reported cases and 406 deaths recorded (66.8%) as of 20th August, 2014.In this study we use modified epidemiological modeling SEIR to analyze data from an Ebola outbreak in Guinea from 22nd march – 20th August,2014 We use Bayesian inference with non – linear transmission times incorporated into augmented data set as latent variables. Despite the lack of detailed data, most data sets record the time on symptom onset but transmission time is not observable. We inferred from such dataset records using structured Hidden Markov Models HMMS. Infectivity is determined before and after public health interventions for hospitalized cases. We estimate the number of secondary cases generated by an index case in the absence of control interventions (Ro). Our estimate of Ro is 1.57 (CI95 0.82-1.92) and the mean value of estimated detection rate is 0.75 (CI95 0.59 -0.93) with a coefficient of correlation between 𝛽𝛽 and v as – 0.23. We perform sensitivity analysis of the final epidemic size to the time of intervention, which ensures the uniqueness and the global stability of the positive endemic equilibrium state.
Assessing Knowledge and Practices of the Community towards Corona Virus Disease 2019 in Mbale Municipality, Uganda
(East African Health Research Journal, 2021-05-21) Naziru, Rashid; Nazziwa, Aisha; Kantono, Rehema; Kasujja, Hassan; Zziwa, Swaibu
Background: The Corona virus disease, first identified in Wuhan city, Hubei province of China, is a respiratory illness caused by Novel Corona Virus also known as Severe Acute Respiratory Syndrome Corona Virus 2 (SARS Cov.2). The disease is characterised 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 test and smell. Uganda in general and Mbale in particular has people of diverse culture, religion and ethnic background as well as diverse socio economic activities with various practices. This multi-cultural environment creates differences in perception of information and practices. Most cultures encourage socialisation through social functions like attending weddings, funerals, work places and gatherings and Muslims who have to go for congregation prayers in the mosques 5 times a day among others. This puts such communities at risk of spreading the disease very fast and slow in adapting to control measures Aim: In this study, we aimed at assessing knowledge and practices of the community towards COVID 19 in Mbale municipality. Methods and Materials: A cross section study was used; Data was obtained using a Questionnaires to a sample of 355 respondents and an observation tool was also used to observe behaviour patterns and practices of 776 participants towards the control measures of COVID-19. Results: There was a total of 355 respondents with 208 /355 (58.59%) male and 147/355 (41.4%) female. 149/355(42%) possessed good knowledge, 131/355(36.9%) had moderate knowledge and 75/355(21%) had a little knowledge on COVID-19. Participants who were single and aged between 21-30 years were found to be more knowledgeable than other groups (P value=.001 and P value=.003 respectively).The source of COVID 19 information was mainly from television and radios 124/248 (50%) and social media 34/248 (21.8%) and the least source of information being 14/248(5.6%) and 9/248(3.6%) from health workers and Religious leaders respectively. 496/776 (64%) of the respondents observed, washed their hands and only124/776 (16%) of the respondents wore face masks. 98/776 (12.6%) were seen shaking hands and 15/776(2%) were seen hugging. Conclusion: Use of appropriate and well-designed Health education materials on radios, televisions and social media platforms like Facebook and twitter among others can be effective means of communication since they can reach the highest number of people. Ministry of Health should design ways for systematically integrating both political and religious leaders in Health Education Campaigns. Government should provide facemasks and enforce their use. A study to assess the ability of both political and religious leaders in health promotion campaigns should be carried out.
Assessing the Learning Environment at Habib medical School, Islamic University in Uganda
(International Journal of Human and Health Sciences, 2017-01) Nazziwa, Aisha; Lwere, Kamada; Tebetyo, Zakia; Ankarali, Handan; Ankarali, Seyit
The learners’ environment is crucial for development of professionals. In Uganda, there was no studies assessing the learning environment have been found. Objective: This study was performed to assess the undergraduate students’ perceptions of medical education in general and educational environment in a newly established faculty of medicine in Islamic University in Uganda. Materials and Methods: The Dundee Ready Education Environment Measure (DREEM), a validated inventory was distributed among undergraduate students in the first year of Bachelor of Medicine and Bachelor of Surgery study. This scale consists a 50 item inventory each of the50 items is scored on a 5-point Likert scale (0 to4). Results: The average total DREEM score was found to be 127.5 (maximum point is 200 in the scale) for the students. This score was interpreted according to the practical guide of McAleer and Roff those students’ perceptions of their learning environment were more positive than negative. In addition, the descriptive values of 5 sub- dimensions of the scale were found as follows. The Perceptions of Learning dimension average is 33.69 ± 6.10, the Perceptions of Teachers dimension average is 25.89 ± 4.44, Students’ Academic Self-Perception 23.35 ± 3.91, Perceptions of Learning Atmosphere dimension average 29.83 ± 7.01 and Social self-perceptions dimension average 13.90 ± 3.92.Only the mean Social Self Perceptions sub-dimension score were below the expected average score (maximum score/2), and all of the other mean of dimensions were higher than the expected average. The best score is obtained from Perceptions of Learning. The items with low scores (less than 2) on the DREEM questionnaires were identified as in need of rehabilitation. Conclusion: On the whole, the study showed that the students’ perception of the educational environment and the teaching delivered were positive but the student’s social self-perception was not good. Measures to improve student’s social self-perception will be adopted.
Bayesian Network Classification of Gastrointestinal Bleeding
(Universiti Putra Malaysia Press (Pertanika Journal of Science & Technology), 2014) Nazziwa, Aisha; Mohd, Bakri Adam; Shamarina, Shohaimi; Aida, Mustapha
The source of gastrointestinal bleeding (GIB) remains uncertain in patients presenting without hematemesis. This paper aims at studying the accuracy, specificity and sensitivity of the Naive Bayesian Classifier (NBC) in identifying the source of GIB in the absence of hematemesis. Data of 325 patients admitted via the emergency department (ED) for GIB without hematemesis and who underwent confirmatory testing were analysed. Six attributes related to demography and their presenting signs were chosen. NBC was used to calculate the conditional probability of an individual being assigned to Upper Gastrointestinal bleeding (UGIB) or Lower Gastrointestinal bleeding (LGIB). High classification accuracy (87.3 %), specificity (0.85) and sensitivity (0.88) were achieved. NBC is a useful tool to support the identification of the source of gastrointestinal bleeding in patients without hematemesis
Classification models for predicting the source of gastrointestinal bleeding in the absence of hematemesis
(Basic Research Journal of Medicine and Clinical Sciences, 2013-08) Nazziwa, Aisha; Mohd, Bakri Adam; Shamarina, Shohaimi
Management of acute gastrointestinal bleeding necessitates the identification of the source of bleed. The source of bleeding which is clear in patients presenting with hematemesis, is unclear in the absence of it. Logistic regression, decision tree, naïve Bayes, LogitBoost and KNN models were constructed from non endoscopic data of 325 patients admitted via the emergence department (ED) for GIB without hematemesis. The performance of the models in predicting the source of bleeding into upper gastrointestinal bleeding or lower gastrointestinal bleeding was compared. Overall the models demonstrate good performance with regards to sensitivity specificity, PPV, NPV and classification accuracy on the simulated data. On the GIB data, the naive Bayes model performed best with a prediction accuracy and sensitivity of 86%, specificity of 85% and area under curve of 92%. Classification models can help to predict the source of gastrointestinal bleeding for patients presenting without hematemesis and may generally be useful in decision support in the ED. The models should be explored further for clinical relevance in other settings
COVID-19 Vaccination: Prevalence and Associated Factors among Students and Staff (A Case of Islamic University in Uganda)
(Journal of Health Promotion and Behavior, 2022-03) Naziru, Rashid; Nabukeera, Madinah; Nazziwa, Aisha; Aremu, Abdulmujeeb Babatunde; Araphat, Ummusalam; Kyejussa, Yusuf
KNOWLEDGE ABOUT HAND HYGIENE AMONG MEDICAL STUDENTS AND NURSING STUDENTS IN MASAKA REGIONAL REFERRAL HOSPITAL
(Journal of Duzce University Health Sciences Institute, 2021) Nazziwa, Aisha; Lwere, Kamada; Ankarali, Handan; Ankarali, Seyit
Aim: The pathogenic bacterium on the hands of healthcare workers (HCWs) is considered as the main route of spread of hospital-acquired infections. This study determines the knowledge regarding hand hygiene among medical and nursing students in a Regional Referral Hospital. Material and Methods: 100 students participated in the study. Data was collected using the World Health Organization hand hygiene knowledge questionnaire (revised 2009). The questionnaire contains questions on the participant’s demographics, formal training in hand hygiene and questions to assess hand hygiene knowledge. Descriptive statistics of the variables were computed as Mean±SD and frequencies (n, %). The relationships between the categorical variables were investigated by using Pearson Chi-Square test. Also independent-samples t-test were used to investigate the difference between groups with regard to numerical variables. In all calculations, P< 0.05 is considered as the level of statistical significance. Statistical analysis was performed using SPSS 20 (IBM SPSS statistics, Somers, NY). Results: 90.8% of the students reported receiving formal training in hand hygiene. However only 2% of the students had good knowledge, 74% moderate knowledge and 24% low knowledge about hand hygiene. The study did not find any significant difference in the knowledge level between the students who had received formal training in hand hygiene and those who had not (p=0.392). Also, the mean knowledge score was not associated with gender (p=0.82), or profession (p=0.179). Conclusion: It is of importance to devise effective teaching methods that will help the students retain the knowledge on hand hygiene
On the Use of Bayesian Network Classifiers to Classify Patients with Peptic Ulcer Among Upper Gastrointestinal Bleeding Patients
(IEEE, 2012) 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.
Preparedness, Identification and Care of COVID-19 Cases by Front Line Health Workers in Selected Health Facilities in Mbale District Uganda
(East African Health Research Journal, 2021) Naziru, Rashid; Nazziwa, Aisha; Nanyeenya, Nicholas; Nabukeera, Madinah; Lwere, Kamada
Introduction The nature of work of Health care professionals exposes them to high risks of contracting COVID-19 and spreading it among themselves, to their patients and subsequently to the general community. Thus, it is essential that frontline health workers are equipped with both material and knowledge to enable them accurately suspect, detect, isolate, and manage COVID-19 cases. Findings have indicated a high prevalence of COVID-19 infections among front-line health workers. The Current Study assessed preparedness, identification, and care of COVID-19 Cases by frontline health workers in selected health facilities in Mbale District.
Prevalence of Bacteria Contaminating the Hands of Healthcare Workers: An Experience of Masaka Regional Referral Hospital, Uganda
(International Journal of Human and Health Sciences, 2022-04-02) 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.