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Global Burden of Disease Study 2016 (GBD 2016) Data Input Sources Tool

These data are not from the current GBD round. Please visit Global Burden of Disease Study 2019 (GBD 2019) Data Resources for GBD 2019 data.
Please contact [email protected] with any questions.

The Global Burden of Disease Study 2016 (GBD 2016) synthesized a large number of input sources to estimate mortality, causes of death and illness, and risk factors for 195 countries and territories from 1990–2016. 

The Data Input Sources Tool lets you explore GBD 2016 input sources and retrieve relevant metadata.

Use the selection boxes below to see these input sources by GBD component, geography, and cause, risk, covariate, or impairment. After you have made your selection, you can view and access GHDx catalog entries which describe input sources used by GBD.

Download these input sources as a CSV file to see more information about how they were used in the analysis for the Global Burden of Disease. This CSV file contains relevant metadata about the input sources as suggested in the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER), a statement that promotes best practices in reporting health estimates.

For detailed information on the tool and the contents of the CSV files, refer to the following documents:

Other resources for GBD 2016 including estimates, code, and visualizations can be accessed from the Global Burden of Disease 2016 page in the GHDx. Visit the GBD page on the IHME website for more information.

Results

Results for cause: Cerebrovascular disease, component: Causes of Death and Illness, location: Tanzania.

Total Citations: 9

Total Source Metadata Rows: 1921

Citations

Walker R, McLarty D, Masuki G, Kitange H, Whiting D, Moshi A, Massawe J, Amaro R, Mhina A, Alberti K. Age specific prevalence of impairment and disability relating to hemiplegic stroke in the Hai District of northern Tanzania. J Neurol Neurosurg Psychiatry. 2000; 68(6): 744-9.

Institute for Health Metrics and Evaluation (IHME). IHME GBD DisMod Cerebrovascular Disease Excess Mortality Estimates.

Institute for Health Metrics and Evaluation (IHME). IHME GBD DisMod for Cerebrovascular Disease, Hemorragic Stroke and Ischemic Stroke Cause-specific Mortality Rate Estimates.

Walker R, Unwin N, Mugusi F, Swai M, Aris E, Jusabani A, Kabadi G, Gray W, Lewanga M, Alberti G, Whiting D. Stroke incidence in rural and urban Tanzania: a prospective, community-based study. Lancet Neurol. 2010; 9(8): 786-92.

INDEPTH. Tanzania - Ifakara Health and Demographic Surveillance System.

INDEPTH, Ministry of Health and Social Welfare (Tanzania), School of Public Health, Columbia University. Tanzania - Rufiji Health and Demographic Surveillance System.

Planning Commission (Tanzania), University of Dar es Salaam, World Bank. Tanzania Living Standards Measurement Study 1993-1994. Washington DC, United States of America: World Bank.

National Bureau of Statistics (Tanzania). Tanzania Living Standards Measurement Study - Integrated Surveys on Agriculture 2010-2011. Dar es Salaam, Tanzania: National Bureau of Statistics (Tanzania).

Department for International Development (DFiD) (United Kingdom), Ministry of Health (Tanzania), Newcastle University (England). The Policy Implications of Tanzania's Mortality Burden. United Republic of Tanzania: Ministry of Health (Tanzania), 2004.