Wavelet Analysis of Aberrant Observations in the Rate of Inflow of Patients in Some Diseaes in Kogi State, Nigeria
Aideyan Donald Osaro,
Efuwape Biodun Tajudeen
Issue:
Volume 7, Issue 3, September 2022
Pages:
41-48
Received:
12 February 2022
Accepted:
4 March 2022
Published:
28 July 2022
DOI:
10.11648/j.bsi.20220703.11
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Views:
Abstract: In recent years, the method of wavelet analysis has been opened to researchers. Wavelet analysis analyses data at different level of decomposition and can capture the characteristics of data series in all decomposition level. In this research work, data was collected on the medical records of the inflow of patients for medication on Malaria fever and Anemia from Grimard Catholic Hospital Anyigba, Kogi State, Nigeria (1993 to 2014). The data was analysed by wavelet methods to detect the aberrant observations over the period under study for the two diseases respectively using a proposed threshold. A total of ten and nine Aberrant Observations (AOs) were detected from the analysis of the original data collected on Malaria Fever and Anemia respectively. At the first and second level of decomposition (resolution), a total of seven and one AO(s) were respectively detected for both Malaria Fever analysis and Anemia analysis. The results obtained showed that the AOs detected in the analysis of the original data maintain the same or closely the same positions as that obtained from the analysis of the decomposed data for the two diseases. It was observed that the inflow of patients in the months of September, October and November into the hospital for medication on the two diseases were more. The Time plot for Malaria Fever and Anemia in the appendix respectively showed that there was no month that fewer patients reported to the hospital for medication.
Abstract: In recent years, the method of wavelet analysis has been opened to researchers. Wavelet analysis analyses data at different level of decomposition and can capture the characteristics of data series in all decomposition level. In this research work, data was collected on the medical records of the inflow of patients for medication on Malaria fever a...
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Prevalence and Factors Associated with Diabetes Mellitus in Bahir Dar Town, Northern Ethiopia, 2019: A Facility Based Cross-Sectional Study
Mengistu Biru,
Tewdros Getinet,
Mikias Alayu,
Neamine Tesfaye,
Adamu Tayachew
Issue:
Volume 7, Issue 3, September 2022
Pages:
49-59
Received:
14 July 2022
Accepted:
9 August 2022
Published:
17 August 2022
DOI:
10.11648/j.bsi.20220703.12
Downloads:
Views:
Abstract: Diabetes Miletus (DM) is a common endocrine disorder characterized by hyperglycemia, often manifesting with symptoms and signs of osmotic diuresis such as polyuria, polydipsia, and polyphagia. The prevalence of DM in Ethiopia was 1.9% in 2017. Although the magnitude of DM is raised from time to time in Ethiopia; there are no or little pieces of evidence about the current magnitude and its associated factors in the study setting. This study aimed to assess the prevalence of diabetes Miletus, and associated factors among individuals above the age of 15 years attending health facilities in Bahir Dar Town, Ethiopia, 2019. Facility based cross-sectional study was employed in Bahir Dar town from January 01 to February 30, 2020. Data was collected from selected health facilities by trained health workers using data collector administrator's questionnaire, and physical examination to get the required information. The data was entered and analyzed using SPSS version 23. Descriptive statics were used to summarize the characteristics of the study participants. Bivariate and multivariable logistic regression analyses were used to assess the association between explanatory variables and the outcome variable. Statistical significance was interpreted using an odds OR odds ratio with a 95% confidence interval and p-value <0.05. A total of 1,525 participants were included in the study. The prevalence of DM was found to be 7.3% (112 / 1,525). High waist circumference; AOR= 4.9; 95% CI (2.3 – 10.9), body mass index greater than 25 kg.m-2 AOR = 9.6; 95%CI (4.1 – 22.8), Age 54 years and above; AOR = 5.2; 95% CI (3.2 – 8.4), having family history of Diabetes Miletus; AOR = 7.5; 95% CI (4.0 – 14.62) and didn't eat fruit at all per day; AOR = 9.6; 95% CI (5.0 – 18.0) were significantly associated with DM. Alcohol drinking was a protective factor for diabetes. AOR=0.3; 95% CI (0.2- 0.7) were significantly associated. In this study, a higher prevalence of diabetes mellitus was observed than the International Diabetic Federation Atlas (IDFA) reported a projected estimate of DM for Ethiopia. Both modifiable (low fruit intake, overweight/obese) and non-modifiable (Age 54 years and above, Family History of DM) associated risk factors were identified. Targeting the prevention strategy to modifiable risk factors might reduce the prevalence of diabetes mellitus in the area. For non-modifiable risk factors, frequent screening and creating awareness about the disease for early detection and treatment are essential.
Abstract: Diabetes Miletus (DM) is a common endocrine disorder characterized by hyperglycemia, often manifesting with symptoms and signs of osmotic diuresis such as polyuria, polydipsia, and polyphagia. The prevalence of DM in Ethiopia was 1.9% in 2017. Although the magnitude of DM is raised from time to time in Ethiopia; there are no or little pieces of evi...
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