Amos Langat - Academia.edu (original) (raw)

Papers by Amos Langat

Research paper thumbnail of The burden, elimination efforts and implication for health policy of Gonorrhoea in Africa: an editorial

Annals of medicine and surgery, Mar 4, 2024

Research paper thumbnail of Exploring Hidden Markov Models in the Context of Genetic Disorders, and Related Conditions: A Systematic Review

Applied and computational mathematics, Jul 5, 2024

Research paper thumbnail of Rainfall Pattern in Kenya: Bayesian Non-parametric Model Based on the Normalized Generalized Gamma Process

Asian Journal of Probability and Statistics, Jun 13, 2024

Research paper thumbnail of Capital Asset Pricing Model: A Renewed Application on S&P 500 Index

Asian journal of economics, business and accounting, May 14, 2024

Research paper thumbnail of Modeling the Impact of Air Pollution and Meteorological Variables on COVID-19 Transmission in Western Cape, South Africa

International journal of mathematics and mathematical sciences, Apr 24, 2024

Research paper thumbnail of Spatial Regression Modeling of Child Survival on the Distribution of Births and Deaths in Kenya Based on the Kenya Demographic and Health Survey (KDHS) 2022

Asian Journal of Probability and Statistics, Mar 16, 2024

Research paper thumbnail of Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance

Asian Journal of Research in Computer Science, Mar 11, 2024

In this study, we delve into the pivotal role of dimension reduction techniques in influencing th... more In this study, we delve into the pivotal role of dimension reduction techniques in influencing the performance of machine learning algorithms for heart disease prediction. Through a comprehensive exploration of a dataset encompassing crucial features such as age, sex, chest pain type, blood pressure, cholesterol levels, and more, we investigate the impact of different techniques-namely, Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA), and Linear Discriminant Analysis (LDA) on classification algorithm effectiveness. The classification algorithms considered were Logistic Regression, Support Vector Machine (SVM), k-Nearest Neighbors (KNN), Naive Bayes, and Deep Neural Network (DNN). We used K-fold cross validation to train and validate the classification algorithms. The performance of these algorithms was assessed using a range of key metrics including accuracy, F1-score, precision, recall, and specificity. The results reveals that Linear Discriminant Analysis consistently emerged as a potent method, remarkably enhancing algorithm

Research paper thumbnail of COVID-19 Impact Analysis: Assessing African Sectors - Commodity, Service, Manufacturing, and Education using Mixed Model Approach

Asian Journal of Probability and Statistics, Dec 17, 2023

Research paper thumbnail of A Bayesian Nonparametric Modeling Approach to Settlement Patterns of Pastoralists Population in Kenya

Asian Journal of Probability and Statistics

Pastoralists' settlement patterns in Kenya have been studied for decades using various statis... more Pastoralists' settlement patterns in Kenya have been studied for decades using various statistical and mathematical models. However, traditional models have often relied on restrictive assumptions, such as the normality of the data or the linearity of relationships. In this paper, we apply a Bayesian nonparametric approach to model the settlement patterns of pastoralists in Kenya, allowing for more flexible and realistic representations of the data. We first collected settlement data for pastoralists in Kenya and compiled a database of environmental covariates, such as distance to water sources, vegetation cover, and road networks. We then applied a Bayesian nonparametric clustering method to identify distinct settlement patterns and tested the performance of the model against other commonly used clustering techniques. Our results indicate that the Bayesian nonparametric approach outperforms other clustering techniques in terms of model fit and accuracy in identifying distinct s...

Research paper thumbnail of Analysis of the Determinants of Premarital Fertility in Benin using Cox's Survival Model

Zenodo (CERN European Organization for Nuclear Research), Jul 15, 2023

Using a Cox model or proportional hazards model, the study sought to explain the instantaneous ri... more Using a Cox model or proportional hazards model, the study sought to explain the instantaneous risk of being a mother during a period of celibacy according to the socio-demographic, socio-cultural, and socioeconomic characteristics of Beninese women. The results indicate that residing in the departments of Atacora, Donga, Borgou, or Alibori, having close family ties with the head of household or having no family ties at all, having a low level of education (primary or uneducated), or living in a poor household promotes premarital procreation. In addition, belonging to the Muslim religious group less predisposes single women to procreate (in this status) compared to other groups.

Research paper thumbnail of Improving the assessment of good agricultural practice adoption in cashew production: A contributory approach

International Journal of Science and Research Archive

This study aimed to propose a new approach for calculating the adoption rate of cultural practice... more This study aimed to propose a new approach for calculating the adoption rate of cultural practices in cashew production, challenging the conventional method that assigns equal weight to all practices. Through an in-depth analysis using multiple linear regression and field data, it was revealed that different practices have varying impacts on cashew yields, which the traditional approach neglects. To address this bias, a weighted approach was introduced, considering the relative importance of each practice. By recalculating the adoption rate using this new method, a more precise and balanced view of practice contributions was obtained. A comparison with the existing approach showed significant differences, as the current method underestimated certain practices' importance, distorting the overall assessment. In contrast, the weighted approach provided a more realistic estimation. These findings underscore the necessity of revising the approach to assess cultural practice adoption ...

Research paper thumbnail of The Contributing Factors to Mild Cognitive Impairment (Difficulty in Remembering) in Ghana - A Logistic Regression Approach

Universal Journal of Public Health

The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Gh... more The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Ghana using the WHO study on Global Ageing and Adult Health (SAGE) data from Ghana. The data consisted of 5011 participants. The respondents were asked to indicate their difficulty in concentrating or remembering things in the last 30 days. The study categorizes the response into two (None and Some difficulty) and analyzes using logistic regression. We found that a little above 40% of the people have MCI. The females were more vulnerable in experiencing MCI with odds exceeding those of males by more than 29%. MCI is more common among people experiencing severe or moderate vision problems. Also, it was discovered that those with higher degrees of education tend to have better memory than people with lower levels of education or no education. Again, MCI is susceptible among aged people who do not engage in physical activities like working or exercising as well as those that are depressed. The logistic regression model found age, sex, educational level, difficulties seeing, depression, SBP, HR, exercise, employment status, and tribe to be statistically significant in factors associated with MCI.

Research paper thumbnail of Analysis of the Determinants of Premarital Fertility in Benin using Cox's Survival Model

Zenodo (CERN European Organization for Nuclear Research), Jul 15, 2023

Using a Cox model or proportional hazards model, the study sought to explain the instantaneous ri... more Using a Cox model or proportional hazards model, the study sought to explain the instantaneous risk of being a mother during a period of celibacy according to the socio-demographic, socio-cultural, and socioeconomic characteristics of Beninese women. The results indicate that residing in the departments of Atacora, Donga, Borgou, or Alibori, having close family ties with the head of household or having no family ties at all, having a low level of education (primary or uneducated), or living in a poor household promotes premarital procreation. In addition, belonging to the Muslim religious group less predisposes single women to procreate (in this status) compared to other groups.

Research paper thumbnail of A Bayesian Nonparametric Modeling Approach to Settlement Patterns of Pastoralists Population in Kenya

Asian Journal of Probability and Statistics

Pastoralists' settlement patterns in Kenya have been studied for decades using various statis... more Pastoralists' settlement patterns in Kenya have been studied for decades using various statistical and mathematical models. However, traditional models have often relied on restrictive assumptions, such as the normality of the data or the linearity of relationships. In this paper, we apply a Bayesian nonparametric approach to model the settlement patterns of pastoralists in Kenya, allowing for more flexible and realistic representations of the data. We first collected settlement data for pastoralists in Kenya and compiled a database of environmental covariates, such as distance to water sources, vegetation cover, and road networks. We then applied a Bayesian nonparametric clustering method to identify distinct settlement patterns and tested the performance of the model against other commonly used clustering techniques. Our results indicate that the Bayesian nonparametric approach outperforms other clustering techniques in terms of model fit and accuracy in identifying distinct s...

Research paper thumbnail of Synthetic Control and Comparative Studies on Covid-19 Vaccines Enrollment and Hesitancy in Africa

Research Square (Research Square), Mar 8, 2023

The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious ... more The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious diseases. However, the rollout of vaccines in Africa has been slow and uneven. This study uses synthetic control and comparative analysis to examine the factors that have contributed to differences in vaccine enrollment in African countries. Using data from the World Health Organization and other sources, we constructed a synthetic control group of countries that were similar in African countries in terms of demographic, economic, and health characteristics. We then used a difference-indifferences approach to compare the vaccine enrollment rates of each African country with its synthetic control group. Our analysis showed that government support, health infrastructure, and access to vaccines were significant factors that contributed to differences in vaccine enrollment rates in African countries. Countries with stronger government support and better health infrastructure tended to have higher vaccine enrollment rates. Access to vaccines, including availability, affordability, and distribution, was also a significant factor. Additionally, the use of synthetic control and comparative analysis can provide valuable insights into the factors that contribute to differences in vaccine enrollment rates in different countries. In conclusion, the slow and uneven rollout of vaccines in Africa has been a significant challenge in the fight against COVID-19. Policymakers and public health officials should prioritize efforts to strengthen health infrastructure, provide greater government support for vaccine rollout efforts, and improve access to vaccines. The use of synthetic control and comparative analysis can provide valuable insights into the factors that contribute to differences in vaccine enrollment rates in different countries, and should be considered in future research.

Research paper thumbnail of Improving the assessment of good agricultural practice adoption in cashew production: A contributory approach

International Journal of Science and Research Archive

This study aimed to propose a new approach for calculating the adoption rate of cultural practice... more This study aimed to propose a new approach for calculating the adoption rate of cultural practices in cashew production, challenging the conventional method that assigns equal weight to all practices. Through an in-depth analysis using multiple linear regression and field data, it was revealed that different practices have varying impacts on cashew yields, which the traditional approach neglects. To address this bias, a weighted approach was introduced, considering the relative importance of each practice. By recalculating the adoption rate using this new method, a more precise and balanced view of practice contributions was obtained. A comparison with the existing approach showed significant differences, as the current method underestimated certain practices' importance, distorting the overall assessment. In contrast, the weighted approach provided a more realistic estimation. These findings underscore the necessity of revising the approach to assess cultural practice adoption ...

Research paper thumbnail of The Contributing Factors to Mild Cognitive Impairment (Difficulty in Remembering) in Ghana -A Logistic Regression Approach

Universal Journal of Public Health, 2023

The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Gh... more The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Ghana using the WHO study on Global Ageing and Adult Health (SAGE) data from Ghana. The data consisted of 5011 participants. The respondents were asked to indicate their difficulty in concentrating or remembering things in the last 30 days. The study categorizes the response into two (None and Some difficulty) and analyzes using logistic regression. We found that a little above 40% of the people have MCI. The females were more vulnerable in experiencing MCI with odds exceeding those of males by more than 29%. MCI is more common among people experiencing severe or moderate vision problems. Also, it was discovered that those with higher degrees of education tend to have better memory than people with lower levels of education or no education. Again, MCI is susceptible among aged people who do not engage in physical activities like working or exercising as well as those that are depressed. The logistic regression model found age, sex, educational level, difficulties seeing, depression, SBP, HR, exercise, employment status, and tribe to be statistically significant in factors associated with MCI.

Research paper thumbnail of Synthetic Control and Comparative Studies on Covid-19 Vaccines Enrollment and Hesitancy in Africa

The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious ... more The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious diseases. However, the rollout of vaccines in Africa has been slow and uneven. This study uses synthetic control and comparative analysis to examine the factors that have contributed to differences in vaccine enrollment in African countries. Using data from the World Health Organization and other sources, we constructed a synthetic control group of countries that were similar in African countries in terms of demographic, economic, and health characteristics. We then used a difference-in-differences approach to compare the vaccine enrollment rates of each African country with its synthetic control group. Our analysis showed that government support, health infrastructure, and access to vaccines were significant factors that contributed to differences in vaccine enrollment rates in African countries. Countries with stronger government support and better health infrastructure tended to have ...

Research paper thumbnail of The Contributing Factors to Mild Cognitive Impairment (Difficulty in Remembering) in Ghana - A Logistic Regression Approach

Universal Journal of Public Health

The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Gh... more The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Ghana using the WHO study on Global Ageing and Adult Health (SAGE) data from Ghana. The data consisted of 5011 participants. The respondents were asked to indicate their difficulty in concentrating or remembering things in the last 30 days. The study categorizes the response into two (None and Some difficulty) and analyzes using logistic regression. We found that a little above 40% of the people have MCI. The females were more vulnerable in experiencing MCI with odds exceeding those of males by more than 29%. MCI is more common among people experiencing severe or moderate vision problems. Also, it was discovered that those with higher degrees of education tend to have better memory than people with lower levels of education or no education. Again, MCI is susceptible among aged people who do not engage in physical activities like working or exercising as well as those that are depressed. The logistic regression model found age, sex, educational level, difficulties seeing, depression, SBP, HR, exercise, employment status, and tribe to be statistically significant in factors associated with MCI.

Research paper thumbnail of Forecasting Volume of Patients in the Queue Using Monte Carlo Simulation Model

Healthcare is essential to the general welfare of society. It provides for the prevention, treatm... more Healthcare is essential to the general welfare of society. It provides for the prevention, treatment, and management of illness and the preservation of mental and physical well-being through the services offered by medical and allied health professions. Hospitals crowding causes a series of negative effects, e.g. medical errors, poor patient treatment and general patient dissatisfaction. In light of these challenges, a need for review and reform of our healthcare practices has become apparent. One road to improve the typical clinical system is to describe the patient flow in a model of the system and how the system is constrained by available equipment, beds and personnel. Various predictive control models have been developed to try and ease overcrowding in hospitals. Such model is the Model Predictive Control to control the queuing systems developed by Yang Wang and Stephen Boyd. The problem with this model is that it is very slow, and thus not very effective. Others are queuing sy...

Research paper thumbnail of The burden, elimination efforts and implication for health policy of Gonorrhoea in Africa: an editorial

Annals of medicine and surgery, Mar 4, 2024

Research paper thumbnail of Exploring Hidden Markov Models in the Context of Genetic Disorders, and Related Conditions: A Systematic Review

Applied and computational mathematics, Jul 5, 2024

Research paper thumbnail of Rainfall Pattern in Kenya: Bayesian Non-parametric Model Based on the Normalized Generalized Gamma Process

Asian Journal of Probability and Statistics, Jun 13, 2024

Research paper thumbnail of Capital Asset Pricing Model: A Renewed Application on S&P 500 Index

Asian journal of economics, business and accounting, May 14, 2024

Research paper thumbnail of Modeling the Impact of Air Pollution and Meteorological Variables on COVID-19 Transmission in Western Cape, South Africa

International journal of mathematics and mathematical sciences, Apr 24, 2024

Research paper thumbnail of Spatial Regression Modeling of Child Survival on the Distribution of Births and Deaths in Kenya Based on the Kenya Demographic and Health Survey (KDHS) 2022

Asian Journal of Probability and Statistics, Mar 16, 2024

Research paper thumbnail of Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance

Asian Journal of Research in Computer Science, Mar 11, 2024

In this study, we delve into the pivotal role of dimension reduction techniques in influencing th... more In this study, we delve into the pivotal role of dimension reduction techniques in influencing the performance of machine learning algorithms for heart disease prediction. Through a comprehensive exploration of a dataset encompassing crucial features such as age, sex, chest pain type, blood pressure, cholesterol levels, and more, we investigate the impact of different techniques-namely, Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA), and Linear Discriminant Analysis (LDA) on classification algorithm effectiveness. The classification algorithms considered were Logistic Regression, Support Vector Machine (SVM), k-Nearest Neighbors (KNN), Naive Bayes, and Deep Neural Network (DNN). We used K-fold cross validation to train and validate the classification algorithms. The performance of these algorithms was assessed using a range of key metrics including accuracy, F1-score, precision, recall, and specificity. The results reveals that Linear Discriminant Analysis consistently emerged as a potent method, remarkably enhancing algorithm

Research paper thumbnail of COVID-19 Impact Analysis: Assessing African Sectors - Commodity, Service, Manufacturing, and Education using Mixed Model Approach

Asian Journal of Probability and Statistics, Dec 17, 2023

Research paper thumbnail of A Bayesian Nonparametric Modeling Approach to Settlement Patterns of Pastoralists Population in Kenya

Asian Journal of Probability and Statistics

Pastoralists' settlement patterns in Kenya have been studied for decades using various statis... more Pastoralists' settlement patterns in Kenya have been studied for decades using various statistical and mathematical models. However, traditional models have often relied on restrictive assumptions, such as the normality of the data or the linearity of relationships. In this paper, we apply a Bayesian nonparametric approach to model the settlement patterns of pastoralists in Kenya, allowing for more flexible and realistic representations of the data. We first collected settlement data for pastoralists in Kenya and compiled a database of environmental covariates, such as distance to water sources, vegetation cover, and road networks. We then applied a Bayesian nonparametric clustering method to identify distinct settlement patterns and tested the performance of the model against other commonly used clustering techniques. Our results indicate that the Bayesian nonparametric approach outperforms other clustering techniques in terms of model fit and accuracy in identifying distinct s...

Research paper thumbnail of Analysis of the Determinants of Premarital Fertility in Benin using Cox's Survival Model

Zenodo (CERN European Organization for Nuclear Research), Jul 15, 2023

Using a Cox model or proportional hazards model, the study sought to explain the instantaneous ri... more Using a Cox model or proportional hazards model, the study sought to explain the instantaneous risk of being a mother during a period of celibacy according to the socio-demographic, socio-cultural, and socioeconomic characteristics of Beninese women. The results indicate that residing in the departments of Atacora, Donga, Borgou, or Alibori, having close family ties with the head of household or having no family ties at all, having a low level of education (primary or uneducated), or living in a poor household promotes premarital procreation. In addition, belonging to the Muslim religious group less predisposes single women to procreate (in this status) compared to other groups.

Research paper thumbnail of Improving the assessment of good agricultural practice adoption in cashew production: A contributory approach

International Journal of Science and Research Archive

This study aimed to propose a new approach for calculating the adoption rate of cultural practice... more This study aimed to propose a new approach for calculating the adoption rate of cultural practices in cashew production, challenging the conventional method that assigns equal weight to all practices. Through an in-depth analysis using multiple linear regression and field data, it was revealed that different practices have varying impacts on cashew yields, which the traditional approach neglects. To address this bias, a weighted approach was introduced, considering the relative importance of each practice. By recalculating the adoption rate using this new method, a more precise and balanced view of practice contributions was obtained. A comparison with the existing approach showed significant differences, as the current method underestimated certain practices' importance, distorting the overall assessment. In contrast, the weighted approach provided a more realistic estimation. These findings underscore the necessity of revising the approach to assess cultural practice adoption ...

Research paper thumbnail of The Contributing Factors to Mild Cognitive Impairment (Difficulty in Remembering) in Ghana - A Logistic Regression Approach

Universal Journal of Public Health

The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Gh... more The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Ghana using the WHO study on Global Ageing and Adult Health (SAGE) data from Ghana. The data consisted of 5011 participants. The respondents were asked to indicate their difficulty in concentrating or remembering things in the last 30 days. The study categorizes the response into two (None and Some difficulty) and analyzes using logistic regression. We found that a little above 40% of the people have MCI. The females were more vulnerable in experiencing MCI with odds exceeding those of males by more than 29%. MCI is more common among people experiencing severe or moderate vision problems. Also, it was discovered that those with higher degrees of education tend to have better memory than people with lower levels of education or no education. Again, MCI is susceptible among aged people who do not engage in physical activities like working or exercising as well as those that are depressed. The logistic regression model found age, sex, educational level, difficulties seeing, depression, SBP, HR, exercise, employment status, and tribe to be statistically significant in factors associated with MCI.

Research paper thumbnail of Analysis of the Determinants of Premarital Fertility in Benin using Cox's Survival Model

Zenodo (CERN European Organization for Nuclear Research), Jul 15, 2023

Using a Cox model or proportional hazards model, the study sought to explain the instantaneous ri... more Using a Cox model or proportional hazards model, the study sought to explain the instantaneous risk of being a mother during a period of celibacy according to the socio-demographic, socio-cultural, and socioeconomic characteristics of Beninese women. The results indicate that residing in the departments of Atacora, Donga, Borgou, or Alibori, having close family ties with the head of household or having no family ties at all, having a low level of education (primary or uneducated), or living in a poor household promotes premarital procreation. In addition, belonging to the Muslim religious group less predisposes single women to procreate (in this status) compared to other groups.

Research paper thumbnail of A Bayesian Nonparametric Modeling Approach to Settlement Patterns of Pastoralists Population in Kenya

Asian Journal of Probability and Statistics

Pastoralists' settlement patterns in Kenya have been studied for decades using various statis... more Pastoralists' settlement patterns in Kenya have been studied for decades using various statistical and mathematical models. However, traditional models have often relied on restrictive assumptions, such as the normality of the data or the linearity of relationships. In this paper, we apply a Bayesian nonparametric approach to model the settlement patterns of pastoralists in Kenya, allowing for more flexible and realistic representations of the data. We first collected settlement data for pastoralists in Kenya and compiled a database of environmental covariates, such as distance to water sources, vegetation cover, and road networks. We then applied a Bayesian nonparametric clustering method to identify distinct settlement patterns and tested the performance of the model against other commonly used clustering techniques. Our results indicate that the Bayesian nonparametric approach outperforms other clustering techniques in terms of model fit and accuracy in identifying distinct s...

Research paper thumbnail of Synthetic Control and Comparative Studies on Covid-19 Vaccines Enrollment and Hesitancy in Africa

Research Square (Research Square), Mar 8, 2023

The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious ... more The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious diseases. However, the rollout of vaccines in Africa has been slow and uneven. This study uses synthetic control and comparative analysis to examine the factors that have contributed to differences in vaccine enrollment in African countries. Using data from the World Health Organization and other sources, we constructed a synthetic control group of countries that were similar in African countries in terms of demographic, economic, and health characteristics. We then used a difference-indifferences approach to compare the vaccine enrollment rates of each African country with its synthetic control group. Our analysis showed that government support, health infrastructure, and access to vaccines were significant factors that contributed to differences in vaccine enrollment rates in African countries. Countries with stronger government support and better health infrastructure tended to have higher vaccine enrollment rates. Access to vaccines, including availability, affordability, and distribution, was also a significant factor. Additionally, the use of synthetic control and comparative analysis can provide valuable insights into the factors that contribute to differences in vaccine enrollment rates in different countries. In conclusion, the slow and uneven rollout of vaccines in Africa has been a significant challenge in the fight against COVID-19. Policymakers and public health officials should prioritize efforts to strengthen health infrastructure, provide greater government support for vaccine rollout efforts, and improve access to vaccines. The use of synthetic control and comparative analysis can provide valuable insights into the factors that contribute to differences in vaccine enrollment rates in different countries, and should be considered in future research.

Research paper thumbnail of Improving the assessment of good agricultural practice adoption in cashew production: A contributory approach

International Journal of Science and Research Archive

This study aimed to propose a new approach for calculating the adoption rate of cultural practice... more This study aimed to propose a new approach for calculating the adoption rate of cultural practices in cashew production, challenging the conventional method that assigns equal weight to all practices. Through an in-depth analysis using multiple linear regression and field data, it was revealed that different practices have varying impacts on cashew yields, which the traditional approach neglects. To address this bias, a weighted approach was introduced, considering the relative importance of each practice. By recalculating the adoption rate using this new method, a more precise and balanced view of practice contributions was obtained. A comparison with the existing approach showed significant differences, as the current method underestimated certain practices' importance, distorting the overall assessment. In contrast, the weighted approach provided a more realistic estimation. These findings underscore the necessity of revising the approach to assess cultural practice adoption ...

Research paper thumbnail of The Contributing Factors to Mild Cognitive Impairment (Difficulty in Remembering) in Ghana -A Logistic Regression Approach

Universal Journal of Public Health, 2023

The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Gh... more The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Ghana using the WHO study on Global Ageing and Adult Health (SAGE) data from Ghana. The data consisted of 5011 participants. The respondents were asked to indicate their difficulty in concentrating or remembering things in the last 30 days. The study categorizes the response into two (None and Some difficulty) and analyzes using logistic regression. We found that a little above 40% of the people have MCI. The females were more vulnerable in experiencing MCI with odds exceeding those of males by more than 29%. MCI is more common among people experiencing severe or moderate vision problems. Also, it was discovered that those with higher degrees of education tend to have better memory than people with lower levels of education or no education. Again, MCI is susceptible among aged people who do not engage in physical activities like working or exercising as well as those that are depressed. The logistic regression model found age, sex, educational level, difficulties seeing, depression, SBP, HR, exercise, employment status, and tribe to be statistically significant in factors associated with MCI.

Research paper thumbnail of Synthetic Control and Comparative Studies on Covid-19 Vaccines Enrollment and Hesitancy in Africa

The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious ... more The COVID-19 pandemic has highlighted the importance of vaccines in the fight against infectious diseases. However, the rollout of vaccines in Africa has been slow and uneven. This study uses synthetic control and comparative analysis to examine the factors that have contributed to differences in vaccine enrollment in African countries. Using data from the World Health Organization and other sources, we constructed a synthetic control group of countries that were similar in African countries in terms of demographic, economic, and health characteristics. We then used a difference-in-differences approach to compare the vaccine enrollment rates of each African country with its synthetic control group. Our analysis showed that government support, health infrastructure, and access to vaccines were significant factors that contributed to differences in vaccine enrollment rates in African countries. Countries with stronger government support and better health infrastructure tended to have ...

Research paper thumbnail of The Contributing Factors to Mild Cognitive Impairment (Difficulty in Remembering) in Ghana - A Logistic Regression Approach

Universal Journal of Public Health

The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Gh... more The study analyzed the contributing factors associated with Mild Cognitive Impairment (MCI) in Ghana using the WHO study on Global Ageing and Adult Health (SAGE) data from Ghana. The data consisted of 5011 participants. The respondents were asked to indicate their difficulty in concentrating or remembering things in the last 30 days. The study categorizes the response into two (None and Some difficulty) and analyzes using logistic regression. We found that a little above 40% of the people have MCI. The females were more vulnerable in experiencing MCI with odds exceeding those of males by more than 29%. MCI is more common among people experiencing severe or moderate vision problems. Also, it was discovered that those with higher degrees of education tend to have better memory than people with lower levels of education or no education. Again, MCI is susceptible among aged people who do not engage in physical activities like working or exercising as well as those that are depressed. The logistic regression model found age, sex, educational level, difficulties seeing, depression, SBP, HR, exercise, employment status, and tribe to be statistically significant in factors associated with MCI.

Research paper thumbnail of Forecasting Volume of Patients in the Queue Using Monte Carlo Simulation Model

Healthcare is essential to the general welfare of society. It provides for the prevention, treatm... more Healthcare is essential to the general welfare of society. It provides for the prevention, treatment, and management of illness and the preservation of mental and physical well-being through the services offered by medical and allied health professions. Hospitals crowding causes a series of negative effects, e.g. medical errors, poor patient treatment and general patient dissatisfaction. In light of these challenges, a need for review and reform of our healthcare practices has become apparent. One road to improve the typical clinical system is to describe the patient flow in a model of the system and how the system is constrained by available equipment, beds and personnel. Various predictive control models have been developed to try and ease overcrowding in hospitals. Such model is the Model Predictive Control to control the queuing systems developed by Yang Wang and Stephen Boyd. The problem with this model is that it is very slow, and thus not very effective. Others are queuing sy...