HIV Epidemiology in Nigeria
Open accessAbstract
Nigeria realizes the devastating effects of HIV/AIDS on its people, health, economic, and social progress fairly recently. This paper analyses descriptively the HIV epidemiology in Nigeria based on the sentinel surveillance system in place. Recently, it is estimated that about 3, 229, 757 people live with HIV in Nigeria and about 220, 393 new HIV infections occurred in 2013 and 210,031 died from AIDS related cases. People practicing low-risk sex are the driving force of HIV epidemic in Nigeria while the high risk groups involving female sex workers, men who have sex with men and injecting drug users contribute substantially to new infections. In conclusion, HIV prevalence among adults in Nigeria is relatively low (3.2%), yet Nigeria is an enormous country where HIV infection remains an issue that demands a systematic and highly tailored intervention.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Nigeria has the second highest HIV burden in the world-3.2 million of its population live with the virus, and the prevalence of the virus threatens the economic security of the country.
“Specifically, Nigeria has the second highest HIV burden in the world -3.2 million of its population live with the virus, and the prevalence of the virus threatens the economic security of the country (Awofala and Ogundele, 2018;UNAIDS, 2017).”
From The Cyclical Nature of Maritime Security Threats: Illegal, Unreported, and Unregulated Fishing as a Threat to Human and National Security in the Gulf of Guinea (2020) · cites this paper as Awofala and Ogundele, 2018
This is expected to give rise to a 20 per cent loss in GDP contribution by 2020 for Nigeria and other similarly heavily affected countries.
“This is expected to give rise to a 20 per cent loss in GDP contribution by 2020 (UN, 2001;Awofala and Ogundele, 2018) for Nigeria and other similarly heavily affected countries.”
From The Cyclical Nature of Maritime Security Threats: Illegal, Unreported, and Unregulated Fishing as a Threat to Human and National Security in the Gulf of Guinea (2020) · cites this paper as Awofala and Ogundele, 2018
The Introduction says HIV persistently drains the economic sector, but it gives no GDP-loss estimate. Searches for the 20 per cent figure, GDP, and 2020 found no passage supporting the forecast for Nigeria or similarly affected countries. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 3
- Eze J.I. Modeling HIV/AIDS Epidemic in Nigeria (Ph.D. thesis) 2009 University of Glasgow Available: < http://theses.gla.ac.uk/642/1/2009EzePhD.pdf> (accessed 6 February 2013)
- Nikolopoulos G. Paraskevis D. Hatzakis A. HIV epidemiology in Greece Future Microbiol. 3 5 2008 507 516 Available: < http://www.futuremedicine.com/doi/abs/10.2217/17460913.3.5.507> 18811235 · DOI
- Orubuloye I.O. Caldwell J. Caldwell P. Sexual networking in Ekiti District of Nigeria Stud. Fam. Plan. 22 2 1991 61 73 1858106
Cited by
Sorted by citations
Histoplasmosis in Africa: An emerging or a neglected disease?
Oladele, R. O., Ayanlowo, O. O., Richardson, M. D., & Denning, D. W. (2018) · PLOS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0006046 · Cited by 192 · see citing works
Okafor-Yarwood, I. (2020) · African Security · doi:10.1080/19392206.2020.1724432 · Cited by 53 · see citing works
Review of antiretroviral therapy coverage in 10 highest burden HIV countries in Africa: 2015–2020
Babatunde, A. O., Akin‐Ajani, O. D., Abdullateef, R. O., Togunwa, T. O., & Isah, H. O. (2023) · Journal of Medical Virology · doi:10.1002/jmv.28320 · Cited by 25 · see citing works
Obaro, S., Hassan-Hanga, F., Medugu, N., Olaosebikan, R., Olanipekun, G., Jibir, B., Gambo, S., Ajose, T., Duru, C., Ebruke, B., et al. (2023) · BMC Infectious Diseases · doi:10.1186/s12879-023-08645-7 · Cited by 18 · see citing works
- Authors
- Awofala, A. A., & Ogundele, O. E.
- Affiliations
- Cyprus University of Technology (CY)
- Tai Solarin University of Education (NG)
- Corresponding author
- Ogundele, Olusegun Emmanuel
- Venue
- Saudi Journal of Biological Sciences
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 25
- Issue
- 4
- Pages
- 697-703
- ISSN
- 1319-562X (ISSN-L)
- PMC
- PMC5937013
- OpenAlex
- W2322289804
- Cited by
- 233
- References
- 0
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 22 · 2023: 26 · 2022: 36 · 2021: 35 · 2020: 33 · 2019: 17 · 2018: 17 · 2017: 11
- FWCI
- 2.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Saudi Journal of Biological Sciences (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › HIV/AIDS Impact and Responses
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Keywords
- HIV/AIDS epidemiology, Nigeria, sentinel surveillance, HIV prevalence, HIV incidence, AIDS mortality, high-risk groups, female sex workers, men who have sex with men, people who inject drugs, HIV prevention interventions
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
