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Disease burden of stroke in rural South Africa: an estimate of incidence, mortality and disability adjusted life years

Overview of attention for article published in BMC Neurology, April 2015
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1 tweeter
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39 Dimensions

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269 Mendeley
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Title
Disease burden of stroke in rural South Africa: an estimate of incidence, mortality and disability adjusted life years
Published in
BMC Neurology, April 2015
DOI 10.1186/s12883-015-0311-7
Pubmed ID
Authors

Mandy Maredza, Melanie Y Bertram, Stephen M Tollman

Abstract

In the context of an epidemiologic transition in South Africa, in which cardiovascular disease is increasing, little is known about the stroke burden, particularly morbidity in rural populations. Risk factors for stroke are high, with hypertension prevalence of more than 50%. Accurate, up-to-date information on disease burden is essential in planning health services for stroke management. This study estimates the burden of stroke in rural South Africa using the epidemiological parameters of incidence, mortality and disability adjusted life year (DALY) metric, a time-based measure that incorporates both mortality and morbidity. Data from the Agincourt health and socio-demographic surveillance system was utilised to calculate stroke mortality for the period 2007-2011. Dismod, an incidence-prevalence-mortality model, was used to estimate incidence and duration of disability in Agincourt sub-district and 'mostly rural' municipalities of South Africa. Using these values, burden of disease in years of life lost (YLL), years lived with disability (YLD) and DALYs was calculated for Agincourt sub-district. Over 5 years, there were an estimated 842 incident cases of stroke in Agincourt sub-district, a crude stroke incidence rate of 244 per 100,000 person years. We estimate that 1,070 DALYs are lost due to stroke yearly. Of this, YLDs contributed 8.7% (3.5 - 10.5%) in sensitivity analysis). Crude stroke mortality was 114 per 100,000 person-years in 2007-11 in Agincourt sub-district. Burden of stroke in entire rural South Africa, a population of some 13,000,000 people, was high, with an estimated 33, 500 strokes occurring in 2011. This study provides the first estimates of stroke burden in terms of incidence, and disability in rural South Africa. High YLL and DALYs lost amongst the rural populations demand urgent measures for preventing and mitigating impacts of stroke. Longitudinal surveillance sites provide a platform through which a changing stroke burden can be monitored in rural South Africa.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Bangladesh 1 <1%
South Africa 1 <1%
Unknown 266 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 58 22%
Student > Bachelor 37 14%
Student > Postgraduate 31 12%
Researcher 29 11%
Student > Ph. D. Student 17 6%
Other 53 20%
Unknown 44 16%
Readers by discipline Count As %
Medicine and Dentistry 84 31%
Nursing and Health Professions 61 23%
Social Sciences 12 4%
Agricultural and Biological Sciences 11 4%
Neuroscience 9 3%
Other 44 16%
Unknown 48 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2015.
All research outputs
#2,486,079
of 5,011,922 outputs
Outputs from BMC Neurology
#547
of 972 outputs
Outputs of similar age
#82,022
of 154,462 outputs
Outputs of similar age from BMC Neurology
#23
of 42 outputs
Altmetric has tracked 5,011,922 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 972 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 154,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.