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The rising burden of non-communicable diseases in sub-Saharan Africa
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In the citing paper
“Noncommunicable diseases (NCDs), such as cancer, diabetes, cardiovascular disease, and chronic respiratory conditions, are, nevertheless, contributing more and more to in-hospital mortality as a result of the ongoing epidemiological transition.”
From The Burden of Hospital Morbidity and Mortality in Ghana: A Four-Year Retrospective Analysis of National Data (2026) · cites this paper as [4]
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Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 9
- 2016, Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015, Lancet, 388, 1659, 10.1016/S0140-6736(16)31679-8 · DOI · Paper page
- Gouda, 2019, Burden of non-communicable diseases in sub-Saharan Africa, 1990–2017: results from the Global Burden of Disease Study 2017, Lancet Glob Health, 7, e1375, 10.1016/S2214-109X(19)30374-2 · DOI
- Jeet, 2017, Community health workers for non-communicable diseases prevention and control in developing countries: Evidence and implications, PLoS One, 12, 10.1371/journal.pone.0180640 · DOI
- Uthman, 2015, Multiple risk factor interventions for primary prevention of cardiovascular disease in low- and middle-income countries, Cochrane Database Syst Rev, 8
- Ogedegbe, 2014, Task shifting interventions for cardiovascular risk reduction in low-income and middle-income countries: a systematic review of randomised controlled trials, BMJ Open, 4, 10.1136/bmjopen-2014-005983 · DOI
- Alaofe, 2017, Community health workers in diabetes prevention and management in developing countries, Ann Glob Health, 83, 661, 10.1016/j.aogh.2017.10.009 · DOI
- Ataklte, 2015, Burden of undiagnosed hypertension in sub-saharan Africa: a systematic review and meta-analysis, Hypertension, 65, 291, 10.1161/HYPERTENSIONAHA.114.04394 · DOI · Paper page
- Patel, 2018, Noncommunicable diseases among HIV-infected persons in low-income and middle-income countries: a systematic review and meta-analysis, AIDS, 32, S5, 10.1097/QAD.0000000000001888 · DOI
- El-Sadr, 2018, Building on the HIV platform: tackling the challenge of noncommunicable diseases among persons living with HIV, AIDS, 32, S1, 10.1097/QAD.0000000000001886 · DOI
Cited by
Ng, M., Gakidou, E., Lo, J., Abate, Y. H., Abbafati, C., Abbas, N., Abbasian, M., Abd ElHafeez, S., Abdel-Rahman, W. M., Abd-Elsalam, S., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)00355-1 · Cited by 1,151
Self-citationRevisiting the issue of access to medicines in Africa: Challenges and recommendations
Adebisi, Y. A., Nwogu, I. B., Alaran, A. J., Badmos, A. O., Bamgboye, A. O., Rufai, B. O., Okonji, O. C., Malik, M. O., Teibo, J. O., Abdalla, S. F., et al. (2022) · Public Health Challenges · doi:10.1002/puh2.9 · Cited by 111
Khalid, A., Dong, Q., Chuluunbaatar, E., Haldane, V., Durrani, H., & Wei, X. (2023) · Journal of Medical Internet Research · doi:10.2196/42134 · Cited by 27
Ngowi, J. E., Munishi, C., Ndumwa, H. P., Njiro, B. J., Amani, D. E., Mboya, E. A., Mloka, D., Kikula, A. I., Balandya, E., Ruggajo, P., et al. (2023) · Annals of Global Health · doi:10.5334/aogh.4118 · Cited by 12
Manyeh, A. K., Odopey, C. T., Ackon, A. N. E., Gmayinaam, V. U., Dzissem, P., Acquah, E., & Immurana, M. (2026) · doi:10.64898/2026.01.13.26344071
Metadata
- Authors
- Bigna, J. J., & Noubiap, J. J.
- Venue
- The Lancet Global Health
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 7
- Issue
- 10
- Pages
- e1295-e1296
- ISSN
- 2214-109X
- Cited by
- 409
- References
- 0
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
