Stillbirth is one of general medical issues that could contribute significantly to creating natio... more Stillbirth is one of general medical issues that could contribute significantly to creating nations like Ethiopia. This study aimed to determine the prevalence and related factors of stillbirth among deliveries at Amhara region, Ethiopia. The study used the Ethiopian Mini Demographic and Health Survey (EMDHS) data collected from 2555 eligible Amhara region women in 2014. Bi-variable and multi-variable binary logistic regression analysis was used. The prevalence of stillbirth outcomes became 85 per 1000 (total live birth). Besides, majority of women did not attend any formal education and had no antenatal care follow up. Women whose age at first birth below 18 years were 1859(72.8%) and the mean preceding birth interval were 33.6 months. Even women who attended primary and above education were about 50% and they were less likely to have had stillbirth outcomes than those who had no education (AOR: 0.505, 95% CI 0.311-0.820) and women having higher household wealth index were less lik...
The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilat... more The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilation of humanity The alarming increase in number of confirmed COVID cases in India requires an urgent step to monitor and control this spread Thus, it is inevitable to develop a model which can predict future confirmed and death cases Time series models are significant in predicting the impact of the COVID-19 outbreak In this paper we have developed an Auto Regressive Integrated Moving Average (ARIMA) model to predict the number of COVID 19 cases for India and Odisha The model prediction suggests that an increasing trend would be continuing for both Odisha and India as whole for next two weeks The forecasted values are in good agreement with actual cases in both the scenario These findings would be useful for government in formulating policy related to health care systems so that the system and medical professions can better prepared to combat the pandemic
Background: Chronic non-communicable diseases:- such as epilepsy, are increasingly recognized as ... more Background: Chronic non-communicable diseases:- such as epilepsy, are increasingly recognized as public health problems in developing and African countries. This study aimed at finding determinants of the number of epileptic seizure attacks using different count data modeling techniques.Methods: Four common fixed-effects Poisson family models were reviewed to analyze the count data with a high proportion of zeros in longitudinal outcome, i.e., the number of seizure attacks in epilepsy patients. This is because, in addition to the problem of extra zeros, the correlation between measurements upon the same patient at different occasions needs to be taken into consideration.Results: The investigation remarkably identified some important factors associated with epileptic seizure attacks. As people grow old , the number of seizure attacks increased and male patients had more seizures than their female counterparts. In general, a patient’s age, sex, monthly income, family history of epilep...
In this study an anthropometric survey of Ethiopian males from 18-26 years was taken. Sixty three... more In this study an anthropometric survey of Ethiopian males from 18-26 years was taken. Sixty three variables were measured using a sample size of 440 males in Bahir Dar University based on the nine regions of Ethiopia (Tigray, Afar, Amhara, Oromia, Benishangul gumuz, Gambella, Harari, Somale, South Nation of Ethiopia). Using inferential statics the data was analyzed to compare the means of the 63 variables to test for significance, the p value was set 0.05. The grand mean of the sample was compared to the nine group mean to see if the differences warrant the creation of the size chart for the whole Ethiopia or individual sizing chart for different group. The body measurements of each group is different, that means the body proportion between the region or ethnic group is extremely different so it is preferable to do the size charts for each individual region because the ground mean is different from the mean of each region.
Objective: Under-five mortality is an essential indicator of the development of a country. In Eth... more Objective: Under-five mortality is an essential indicator of the development of a country. In Ethiopia under-five mortality rate is among the highest in the world. Nearly one out of 10 babies born in Ethiopia does not survive to celebrate its first birthday. Material and Methods: The data for the study was obtained from Ethiopian Demography and Health Survey data conducted in 2016. The Kaplan-Meier, Cox'sproportional hazards and gamma shared frailty models were employed for the analysis of under-five children data. Results: Results obtained by fitting both Cox-proportional hazard model and gamma shared frailty model: place of residence, Type of Birth, Birth order, sex of a child and preceding birth intervalwere found to be significant factors. Further more a high risk death of under-five children was found to be associated with place of residence at rural, multiple births, birth order at fifth and above, male children and preceding birth interval less than 24 months. From gamma ...
The burden of intestinal parasitic infections (IPIs) has been a common problem on children in Eth... more The burden of intestinal parasitic infections (IPIs) has been a common problem on children in Ethiopia. While communities in Bure town, northwest Ethiopia, are presumed to be exposed to IPIs, no study has been conducted before. The aim of this study was therefore to assess the prevalence of IPIs and associated risk factors among school children in Bure town by conducting a cross-sectional study from January to June 2019. A total of 430 students were selected using stratified systematic random sampling technique. Direct wet-mount and formal-ether concentration techniques were used for parasitological analysis from stool samples taken from each student. Information about the risk factors was collected using structured questionnaire. Data were analyzed using SPSS version 24. The overall prevalence of IPIs among the children involved in the study was found to be 40% (172/430). Some 37.7% of the students exhibited single parasite infection, 2.1% double and 0.23% triple parasite. Seven sp...
Background: Stillbirth is one of general medical issues that could contribute significantly to cr... more Background: Stillbirth is one of general medical issues that could contribute significantly to creating nations like Ethiopia. This study aimed to determine the prevalence and related factors of stillbirth among deliveries at Amhara region, Ethiopia.
Objective: Under-five mortality is an essential indicator of the development of a country. In Eth... more Objective: Under-five mortality is an essential indicator of the development of a country. In Ethiopia under-five mortality rate is among the highest in the world. Nearly one out of 10 babies born in Ethiopia does not survive to celebrate its first birthday. Material and Methods: The data for the study was obtained from Ethiopian Demography and Health Survey data conducted in 2016. The Kaplan-Meier, Cox'sproportional hazards and gamma shared frailty models were employed for the analysis of under-five children data. Results: Results obtained by fitting both Cox-proportional hazard model and gamma shared frailty model: place of residence, Type of Birth, Birth order, sex of a child and preceding birth intervalwere found to be significant factors. Further more a high risk death of under-five children was found to be associated with place of residence at rural, multiple births, birth order at fifth and above, male children and preceding birth interval less than 24 months. From gamma ...
Background: Chronic non-communicable diseases:-such as epilepsy, are increasingly recognized as p... more Background: Chronic non-communicable diseases:-such as epilepsy, are increasingly recognized as public health problems in developing and African countries. This study aimed at finding determinants of the number of epileptic seizure attacks using different count data modeling techniques. Methods: Four common fixed-effects Poisson family models were reviewed to analyze the count data with a high proportion of zeros in longitudinal outcome, i.e., the number of seizure attacks in epilepsy patients. This is because, in addition to the problem of extra zeros, the correlation between measurements upon the same patient at different occasions needs to be taken into consideration. Results: The investigation remarkably identified some important factors associated with epileptic seizure attacks. As people grow old , the number of seizure attacks increased and male patients had more seizures than their female counterparts. In general , a patient's age, sex, monthly income, family history of epilepsy andservice satisfaction were some of the significant factors responsible for the frequency of seizure attacks (P value<0.05). Conclusion: This study suggests that zero-inflated negative binomial is the best model for predicting and describing the number of seizure attacks as well as identifying the potential risk factors. Addressing these risk factors will definitely contain the progression of seizure attack.
The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilat... more The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilation of humanity. The alarming increase in number of confirmed COVID cases in India requires an urgent step to monitor and control this spread. Thus, it is inevitable to develop a model which can predict future confirmed and death cases. Time series models are significant in predicting the impact of the COVID-19 outbreak. In this paper we have developed an Auto Regressive Integrated Moving Average (ARIMA) model to predict the number of COVID 19 cases for India and Odisha. The model prediction suggests that an increasing trend would be continuing for both Odisha and India as whole for next two weeks. The forecasted values are in good agreement with actual cases in both the scenario. These findings would be useful for government in formulating policy related to health care systems so that the system and medical professions can better prepared to combat the pandemic.
Stillbirth is one of general medical issues that could contribute significantly to creating natio... more Stillbirth is one of general medical issues that could contribute significantly to creating nations like Ethiopia. This study aimed to determine the prevalence and related factors of stillbirth among deliveries at Amhara region, Ethiopia. The study used the Ethiopian Mini Demographic and Health Survey (EMDHS) data collected from 2555 eligible Amhara region women in 2014. Bi-variable and multi-variable binary logistic regression analysis was used. The prevalence of stillbirth outcomes became 85 per 1000 (total live birth). Besides, majority of women did not attend any formal education and had no antenatal care follow up. Women whose age at first birth below 18 years were 1859(72.8%) and the mean preceding birth interval were 33.6 months. Even women who attended primary and above education were about 50% and they were less likely to have had stillbirth outcomes than those who had no education (AOR: 0.505, 95% CI 0.311-0.820) and women having higher household wealth index were less lik...
The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilat... more The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilation of humanity The alarming increase in number of confirmed COVID cases in India requires an urgent step to monitor and control this spread Thus, it is inevitable to develop a model which can predict future confirmed and death cases Time series models are significant in predicting the impact of the COVID-19 outbreak In this paper we have developed an Auto Regressive Integrated Moving Average (ARIMA) model to predict the number of COVID 19 cases for India and Odisha The model prediction suggests that an increasing trend would be continuing for both Odisha and India as whole for next two weeks The forecasted values are in good agreement with actual cases in both the scenario These findings would be useful for government in formulating policy related to health care systems so that the system and medical professions can better prepared to combat the pandemic
Background: Chronic non-communicable diseases:- such as epilepsy, are increasingly recognized as ... more Background: Chronic non-communicable diseases:- such as epilepsy, are increasingly recognized as public health problems in developing and African countries. This study aimed at finding determinants of the number of epileptic seizure attacks using different count data modeling techniques.Methods: Four common fixed-effects Poisson family models were reviewed to analyze the count data with a high proportion of zeros in longitudinal outcome, i.e., the number of seizure attacks in epilepsy patients. This is because, in addition to the problem of extra zeros, the correlation between measurements upon the same patient at different occasions needs to be taken into consideration.Results: The investigation remarkably identified some important factors associated with epileptic seizure attacks. As people grow old , the number of seizure attacks increased and male patients had more seizures than their female counterparts. In general, a patient’s age, sex, monthly income, family history of epilep...
In this study an anthropometric survey of Ethiopian males from 18-26 years was taken. Sixty three... more In this study an anthropometric survey of Ethiopian males from 18-26 years was taken. Sixty three variables were measured using a sample size of 440 males in Bahir Dar University based on the nine regions of Ethiopia (Tigray, Afar, Amhara, Oromia, Benishangul gumuz, Gambella, Harari, Somale, South Nation of Ethiopia). Using inferential statics the data was analyzed to compare the means of the 63 variables to test for significance, the p value was set 0.05. The grand mean of the sample was compared to the nine group mean to see if the differences warrant the creation of the size chart for the whole Ethiopia or individual sizing chart for different group. The body measurements of each group is different, that means the body proportion between the region or ethnic group is extremely different so it is preferable to do the size charts for each individual region because the ground mean is different from the mean of each region.
Objective: Under-five mortality is an essential indicator of the development of a country. In Eth... more Objective: Under-five mortality is an essential indicator of the development of a country. In Ethiopia under-five mortality rate is among the highest in the world. Nearly one out of 10 babies born in Ethiopia does not survive to celebrate its first birthday. Material and Methods: The data for the study was obtained from Ethiopian Demography and Health Survey data conducted in 2016. The Kaplan-Meier, Cox'sproportional hazards and gamma shared frailty models were employed for the analysis of under-five children data. Results: Results obtained by fitting both Cox-proportional hazard model and gamma shared frailty model: place of residence, Type of Birth, Birth order, sex of a child and preceding birth intervalwere found to be significant factors. Further more a high risk death of under-five children was found to be associated with place of residence at rural, multiple births, birth order at fifth and above, male children and preceding birth interval less than 24 months. From gamma ...
The burden of intestinal parasitic infections (IPIs) has been a common problem on children in Eth... more The burden of intestinal parasitic infections (IPIs) has been a common problem on children in Ethiopia. While communities in Bure town, northwest Ethiopia, are presumed to be exposed to IPIs, no study has been conducted before. The aim of this study was therefore to assess the prevalence of IPIs and associated risk factors among school children in Bure town by conducting a cross-sectional study from January to June 2019. A total of 430 students were selected using stratified systematic random sampling technique. Direct wet-mount and formal-ether concentration techniques were used for parasitological analysis from stool samples taken from each student. Information about the risk factors was collected using structured questionnaire. Data were analyzed using SPSS version 24. The overall prevalence of IPIs among the children involved in the study was found to be 40% (172/430). Some 37.7% of the students exhibited single parasite infection, 2.1% double and 0.23% triple parasite. Seven sp...
Background: Stillbirth is one of general medical issues that could contribute significantly to cr... more Background: Stillbirth is one of general medical issues that could contribute significantly to creating nations like Ethiopia. This study aimed to determine the prevalence and related factors of stillbirth among deliveries at Amhara region, Ethiopia.
Objective: Under-five mortality is an essential indicator of the development of a country. In Eth... more Objective: Under-five mortality is an essential indicator of the development of a country. In Ethiopia under-five mortality rate is among the highest in the world. Nearly one out of 10 babies born in Ethiopia does not survive to celebrate its first birthday. Material and Methods: The data for the study was obtained from Ethiopian Demography and Health Survey data conducted in 2016. The Kaplan-Meier, Cox'sproportional hazards and gamma shared frailty models were employed for the analysis of under-five children data. Results: Results obtained by fitting both Cox-proportional hazard model and gamma shared frailty model: place of residence, Type of Birth, Birth order, sex of a child and preceding birth intervalwere found to be significant factors. Further more a high risk death of under-five children was found to be associated with place of residence at rural, multiple births, birth order at fifth and above, male children and preceding birth interval less than 24 months. From gamma ...
Background: Chronic non-communicable diseases:-such as epilepsy, are increasingly recognized as p... more Background: Chronic non-communicable diseases:-such as epilepsy, are increasingly recognized as public health problems in developing and African countries. This study aimed at finding determinants of the number of epileptic seizure attacks using different count data modeling techniques. Methods: Four common fixed-effects Poisson family models were reviewed to analyze the count data with a high proportion of zeros in longitudinal outcome, i.e., the number of seizure attacks in epilepsy patients. This is because, in addition to the problem of extra zeros, the correlation between measurements upon the same patient at different occasions needs to be taken into consideration. Results: The investigation remarkably identified some important factors associated with epileptic seizure attacks. As people grow old , the number of seizure attacks increased and male patients had more seizures than their female counterparts. In general , a patient's age, sex, monthly income, family history of epilepsy andservice satisfaction were some of the significant factors responsible for the frequency of seizure attacks (P value<0.05). Conclusion: This study suggests that zero-inflated negative binomial is the best model for predicting and describing the number of seizure attacks as well as identifying the potential risk factors. Addressing these risk factors will definitely contain the progression of seizure attack.
The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilat... more The novel coronavirus disease (COVID-19) has shaken the entire world in its devastating annihilation of humanity. The alarming increase in number of confirmed COVID cases in India requires an urgent step to monitor and control this spread. Thus, it is inevitable to develop a model which can predict future confirmed and death cases. Time series models are significant in predicting the impact of the COVID-19 outbreak. In this paper we have developed an Auto Regressive Integrated Moving Average (ARIMA) model to predict the number of COVID 19 cases for India and Odisha. The model prediction suggests that an increasing trend would be continuing for both Odisha and India as whole for next two weeks. The forecasted values are in good agreement with actual cases in both the scenario. These findings would be useful for government in formulating policy related to health care systems so that the system and medical professions can better prepared to combat the pandemic.
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