Additional file 7. Meta regression output.
Additional file 4. Characteristics of selected studies.
Additional file 5. Blood pressure measurement protocols from selected studies.
Additional file 3. R codes for meta-regression.
Additional file 1. Summary of findings table for eligibility assessment of full-text articles retrieved indicating reasons for exclusion.
Additional file 8. Meta regression output.
Additional file 6. Full results of meta-analysis
Additional file 2. R codes for meta-analysis.
The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were... more
The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were estimated and compared in terms of forecast performance. Monthly data on river flows from January 2000 to December 2009 for the four gauge stations along the Black Volta River namely, Lawra, Chache, Bui and Bamboi was obtained from the hydrological services department of Ghana and used for model fitting. The estimation and forecasting procedure was conducted using the Econometrics Toolbox in MATLAB. Mean Absolute Percentage Errors (MAPEs) were calculated for all models considered. The results indicated very good forecasts for all the models considered. However, a comparison among them clearly indicated a much better performance by the SBVAR model based on the RWA prior which considered flows from only the immediate upstream gauge station as important while flows from all other gauge stations were considered unimportant.
Research Interests:
Background Hypertension has become an important public health concern in the developing world owing to rising prevalence and its adverse impact on ailing health systems. Despite being a modifiable risk factor for cardiovascular disease,... more
Background Hypertension has become an important public health concern in the developing world owing to rising prevalence and its adverse impact on ailing health systems. Despite being a modifiable risk factor for cardiovascular disease, hypertension has not received the needed attention in Ghana as a result of various competing interests for scarce health resources. This systematic review and meta-analysis provides a comprehensive and updated summary of the literature on the prevalence of hypertension in Ghana. Methods Major databases such as MEDLINE, EMBASE, and Google Scholar and local thesis repositories were accessed to identify population-based studies on hypertension among Ghanaians. Data extracted from retrieved reports were screened independently by two reviewers. The quality of eligible studies was evaluated and reported. A reliable pooled estimate of hypertension prevalence was calculated utilizing a random-effects model and reported according to the GRADE framework. Addit...
Research Interests:
Research Interests:
Research Interests:
Background Hypertension has become an important public health concern in the developing world owing to rising prevalence and its adverse impact on ailing health systems. Despite being a modifiable risk factor for cardiovascular disease,... more
Background Hypertension has become an important public health concern in the developing world owing to rising prevalence and its adverse impact on ailing health systems. Despite being a modifiable risk factor for cardiovascular disease, hypertension has not received the needed attention in Ghana as a result of various competing interests for scarce health resources. This systematic review and meta-analysis provides a comprehensive and updated summary of the literature on the prevalence of hypertension in Ghana. Methods Major databases such as MEDLINE, EMBASE, and Google Scholar and local thesis repositories were accessed to identify population-based studies on hypertension among Ghanaians. Data extracted from retrieved reports were screened independently by two reviewers. The quality of eligible studies was evaluated and reported. A reliable pooled estimate of hypertension prevalence was calculated utilizing a random-effects model and reported according to the GRADE framework. Addit...
Research Interests:
The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were... more
The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were estimated and compared in terms of forecast performance. Monthly data on river flows from January 2000 to December 2009 for the four gauge stations along the Black Volta River namely, Lawra, Chache, Bui and Bamboi was obtained from the hydrological services department of Ghana and used for model fitting. The estimation and forecasting procedure was conducted using the Econometrics Toolbox in MATLAB. Mean Absolute Percentage Errors (MAPEs) were calculated for all models considered. The results indicated very good forecasts for all the models considered. However, a comparison among them clearly indicated a much better performance by the SBVAR model based on the RWA prior which considered flows from only the immediate upstream gauge station as important while flows from all other gauge stations were considered unimportant.