scholarly journals Tuberculosis Burden in Ethiopia from 1990 to 2016: Evidence from the Global Burden of Diseases 2016 Study

1970 ◽  
Vol 28 (5) ◽  
Author(s):  
Amare Deribew ◽  
Kebede Deribe ◽  
Tariku Dejene ◽  
Gizachew Assefa Tessema ◽  
Yohannes Adama Melaku ◽  
...  
Keyword(s):  
Causes Of Death ◽  
Development Program ◽  
Treatment Programs ◽  
Global Burden ◽  
Prevalence Rates ◽  
The Sustainable Development ◽  
Development Goals ◽  
Data Source ◽  
Global Burden Of Diseases ◽  
Burden Of Diseases

BACKGROUND: The burden of Tuberculosis (TB) has not been comprehensively evaluated over the last 25 years in Ethiopia. In this study, we used the 2016 Global Burden of Diseases, Injuries and Risk Factors (GBD) data to analyze the incidence, prevalence and mortality rates of tuberculosis (TB) in Ethiopia over the last 26 years.METHODS: The GBD 2016 is a mathematical modeling using different data source for Ethiopia such as verbal autopsy (VA), prevalence surveys and annual case notifications. Age and sex specific causes of death for TB were estimated using the Cause of Death Ensemble Modeling (CODEm). We used the available data such as annual notifications and prevalence surveys as an input to estimate incidence and prevalence rates respectively using DisMod-MR 2.1, a Bayesian meta-regression tool.RESULTS: In 2016, we estimated 219,186 (95%UI: 182,977-265,292) new, 151,602 (95% UI: 126,054-180,976) prevalent TB cases and 48,910(95% UI:40,310-58,195) TB deaths. The age-standardized TB incidence rate decreased from 201.6/100,000 to 88.5/100,000 (with a total decline of 56%) between 1990 to 2016. Similarly, the age-standardized TB mortality rate declined from 393.8/100,000 to 100/100,000 between 1990 and 2016(with a total decline of 75%).CONCLUSIONS: Ethiopia has achieved the 50% reduction of most of the Millennium Development Goals (MDGs) targets related to TB. However, the decline of TB incidence and prevalence rates has been comparatively slow. The country should strengthen the TB case detection and treatment programs at community level to achieve its targets during the Sustainable Development Program (SDGs)-era.

National Far East Development Program and Sustainable Development Prospects

2019 ◽  
Vol 40 (3) ◽  
pp. 33-40 ◽  
Author(s):  
M. Yu. Dyakov ◽  
E. G. Mikhaylova
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Development Process ◽  
Far East ◽  
Development Program ◽  
The Sustainable Development ◽  
Development Goals ◽  
Economic Balance ◽  
Formal Requirements ◽  
Development Prospects

The article contains some comments on the project of the National Program for the Development of the Far East until 2025 and for the future till 2035. It is noted that the project does not meet the formal requirements of the program document, has a number of unreasonable proposals and measures, the implementation of which may threaten the sustainable development of the region. The authors believe that in the development process it is necessary to take into account the principles of environmental and economic balance. The conclusion is made about the feasibility of developing a methodological framework for evaluating such documents as a tool for achieving sustainable development goals.

scholarly journals A robust machine learning approach to SDG data segmentation

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Kassim S. Mwitondi ◽  
Isaac Munyakazi ◽  
Barnabas N. Gatsheni
Keyword(s):  
Temporal Variations ◽  
Data Repository ◽  
The Sustainable Development ◽  
Complex Interactions ◽  
Data Segmentation ◽  
Technological Advances ◽  
Machine Learning Approach ◽  
Development Goals ◽  
Data Source ◽  
Spatio Temporal

Abstract In the light of the recent technological advances in computing and data explosion, the complex interactions of the Sustainable Development Goals (SDG) present both a challenge and an opportunity to researchers and decision makers across fields and sectors. The deep and wide socio-economic, cultural and technological variations across the globe entail a unified understanding of the SDG project. The complexity of SDGs interactions and the dynamics through their indicators align naturally to technical and application specifics that require interdisciplinary solutions. We present a consilient approach to expounding triggers of SDG indicators. Illustrated through data segmentation, it is designed to unify our understanding of the complex overlap of the SDGs by utilising data from different sources. The paper treats each SDG as a Big Data source node, with the potential to contribute towards a unified understanding of applications across the SDG spectrum. Data for five SDGs was extracted from the United Nations SDG indicators data repository and used to model spatio-temporal variations in search of robust and consilient scientific solutions. Based on a number of pre-determined assumptions on socio-economic and geo-political variations, the data is subjected to sequential analyses, exploring distributional behaviour, component extraction and clustering. All three methods exhibit pronounced variations across samples, with initial distributional and data segmentation patterns isolating South Africa from the remaining five countries. Data randomness is dealt with via a specially developed algorithm for sampling, measuring and assessing, based on repeated samples of different sizes. Results exhibit consistent variations across samples, based on socio-economic, cultural and geo-political variations entailing a unified understanding, across disciplines and sectors. The findings highlight novel paths towards attaining informative patterns for a unified understanding of the triggers of SDG indicators and open new paths to interdisciplinary research.

scholarly journals Emphasizing the Role of Neurosurgery Within Global Health and National Health Systems: A Call to Action

2021 ◽  
Vol 8 ◽  
Author(s):  
Jean Wilguens Lartigue ◽  
Olaoluwa Ezekiel Dada ◽  
Makinah Haq ◽  
Sarah Rapaport ◽  
Lorraine Arabang Sebopelo ◽  
...  
Keyword(s):  
Public Health ◽  
Global Health ◽  
Health Systems ◽  
Global Burden ◽  
Global Public Health ◽  
Middle Income ◽  
Disability Adjusted Life ◽  
Life Years ◽  
Development Goals ◽  
Global Burden Of Diseases

Background: Worldwide, neurological disorders are the leading cause of disability-adjusted life years lost and the second leading cause of death. Despite global health capacity-building efforts, each year, 22.6 million individuals worldwide require neurosurgeon's care due to diseases such as traumatic brain injury and hydrocephalus, and 13.8 million of these individuals require surgery. It is clear that neurosurgical care is indispensable in both national and international public health discussions. This study highlights the role neurosurgeons can play in supporting the global health agenda, national surgical plans, and health strengthening systems (HSS) interventions.Methods: Guided by a literature review, the authors discuss key topics such as the global burden of neurosurgical diseases, the current state of neurosurgical care around the world and the inherent benefits of strong neurosurgical capability for health systems.Results: Neurosurgical diseases make up an important part of the global burden of diseases. Many neurosurgeons possess the sustained passion, resilience, and leadership needed to advocate for improved neurosurgical care worldwide. Neurosurgical care has been linked to 14 of the 17 Sustainable Development Goals (SDGs), thus highlighting the tremendous impact neurosurgeons can have upon HSS initiatives.Conclusion: We recommend policymakers and global health actors to: (i) increase the involvement of neurosurgeons within the global health dialogue; (ii) involve neurosurgeons in the national surgical system strengthening process; (iii) integrate neurosurgical care within the global surgery movement; and (iv) promote the training and education of neurosurgeons, especially those residing in Low-and middle-income countries, in the field of global public health.

scholarly journals Global Incidence and Mortality Patterns of Pedestrian Road Traffic Injuries by Sociodemographic Index, with Forecasting: Findings from the Global Burden of Diseases, Injuries, and Risk Factors 2017 Study

2020 ◽  
Vol 17 (6) ◽  
pp. 2135 ◽  
Author(s):  
Moien A. B. Khan ◽  
Michal Grivna ◽  
Javaid Nauman ◽  
Elpidoforos S. Soteriades ◽  
Arif Alper Cevik ◽  
...  
Keyword(s):  
Social Sciences ◽  
Road Traffic ◽  
Age Groups ◽  
Significant Proportion ◽  
Global Burden ◽  
Road Traffic Injuries ◽  
Incidence And Mortality ◽  
The Social ◽  
Global Burden Of Diseases ◽  
Burden Of Diseases

(1) Background: Pedestrian injuries (PIs) represent a significant proportion of road traffic injuries. Our aim was to investigate the incidence and mortality of PIs in different age groups and sociodemographic index (SDI) categories between 1990 and 2017. (2) Method: Estimates of age-standardized incidence and mortality along with trends of PIs by SDI levels were obtained from the Global Burden of Disease from 1990 to 2017. We also forecasted the trends across all the SDI categories until 2040 using the Statistical Package for the Social Sciences (SPSS Statistics for Windows, version 23.0, Chicago, IL, USA) time series expert modeler. (3) Results: Globally, the incidence of PIs increased by 3.31% (−9.94 to 16.56) in 2017 compared to 1990. Men have higher incidence of PIs than women. Forecasted incidence was 132.02 (127.37 to 136.66) per 100,000 population in 2020, 101.52 (65.99 to 137.05) in 2030, and reduced further to 71.02 (10.62 to 152.65) by 2040. Globally across all SDI categories, there was a decreasing trend in mortality due to PIs with the global estimated percentage reduction of 37.12% (−45.19 to −29.04). (4) Conclusions: The results show that PIs are still a burden for all SDI categories despite some variation. Although incidence and mortality are expected to decrease globally, some SDI categories and specific vulnerable age groups may require particular attention. Further studies addressing incidence and mortality patterns in vulnerable SDI categories are needed.

scholarly journals Global patterns and trends in the breast cancer incidence and mortality according to sociodemographic indices: an observational study based on the global burden of diseases

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e028461 ◽  
Author(s):  
Kaimin Hu ◽  
Peili Ding ◽  
Yinan Wu ◽  
Wei Tian ◽  
Tao Pan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Observational Study ◽  
Cancer Incidence ◽  
Disease Incidence ◽  
Breast Cancer Incidence ◽  
Global Burden ◽  
Incidence And Mortality ◽  
Global Burden Of Diseases ◽  
Concentration Indices ◽  
Burden Of Diseases

ObjectivesDisparities in the global burden of breast cancer have been identified. We aimed to investigate recent patterns and trends in the breast cancer incidence and associated mortality. We also assessed breast cancer-related health inequalities according to socioeconomic development factors.DesignAn observational study based on the Global Burden of Diseases.MethodsEstimates of breast cancer incidence and mortality during 1990–2016 were obtained from the Global Health Data Exchange database. Subsequently, data obtained in 2016 were described using the age-standardised and age-specific incidence, mortality and mortality-to-incidence (MI) ratios according to sociodemographic index (SDI) levels. Trends were assessed by measuring the annual percent change using the joinpoint regression. The Gini coefficients and concentration indices were used to identify between-country inequalities.ResultsCountries with higher SDI levels had worse disease incidence burdens in 2016, whereas inequalities in the breast cancer incidence had decreased since 1990. Opposite trends were observed in the mortality rates of high and low SDI countries. Moreover, the decreasing concentration indices, some of which became negative, among women aged 15–49 and 50–69 years suggested an increase in the mortality burdens in undeveloped regions. Conversely, inequality related to the MI ratio increased. In 2016, the MI ratios exhibited distinct gradients from high to low SDI regions across all age groups.ConclusionsThe patterns and trends in breast cancer incidence and mortality closely correlated with the SDI levels. Our findings highlighted the primary prevention of breast cancer in high SDI countries with a high disease incidence and the development of cost-effective diagnostic and treatment interventions for low SDI countries with poor MI ratios as the two pressing needs in the next decades.

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