Estimating dementia prevalence using remote diagnoses and algorithmic modelling: a population-based study of a rural region in South Africa

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Publication Details

Journal
The Lancet Global Health
Published
2024-11-20
DOI
https://doi.org/10.1016/s2214-109x(24)00325-5
Citations
9
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
3.47

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article

Estimating dementia prevalence using remote diagnoses and algorithmic modelling: a population-based study of a rural region in South Africa

M. Maria Glymour, Adam M. Brickman, Stephen Tollman, Darina T. Bassil et al.
9 citations
The Lancet Global Health
Dementia and Cognitive Impairment Research
3.47
article

Estimating dementia prevalence using remote diagnoses and algorithmic modelling: a population-based study of a rural region in South Africa

M. Maria Glymour, Adam M. Brickman, Stephen Tollman, Darina T. Bassil, Muqi Guo, Kenneth M. Langa, Jennifer J. Manly, Ryan G. Wagner, Meagan T. Farrell, Lisa Berkman
article en
9 citations

Abstract

No abstract available for this paper.
The Lancet Global HealthVol. 12(12)
Boston University (US), Harvard University (US), University of the Witwatersrand (ZA), Agincourt Health and Socio-Demographic Surveillance System (ZA), Indepth Network (GH), Columbia University (US)
Bill and Melinda Gates Foundation, Harvard University, National Institutes of Health, University of Illinois at Urbana-Champaign, Medical Research Council, National Institute on Aging
Openalex Percentile: Top 6%
Dementia and Cognitive Impairment Research
3.47
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