Research Article

Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors

Volume: 18 Number: 1 March 24, 2026
EN

Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors

Abstract

Aim: Nigeria ranks among the countries with a high burden of Human Immunodeficiency Virus (HIV), though national incidence and prevalence have declined in recent years. Ekiti State has consistently shown lower HIV rates compared to other regions, but the specific drivers of this perceived decline remain underexplored. This study aimed to identify the key social, behavioral, and biological factors contributing to the declining HIV incidence in Ekiti State, Nigeria, using Structural Equation Modelling (SEM).
Material and Methods: A cross-sectional survey was conducted from January to March 2023 among 448 knowledgeable informants (health professionals from state and local AIDS control agencies, medical personnel, and students). Data on perceived HIV incidence and contributing factors were collected via a structured questionnaire. Confirmatory Factor Analysis and SEM were performed using AMOS software to test hypothesized paths from latent constructs (social factors, e.g., condom promotion and education campaigns; sexual behavioral factors, e.g., reductions in concurrent partners; biological factors, e.g., antiretroviral therapy access and STI reductions) to perceived declining incidence.
Results: Social (β = 0.356, p < 0.001) and biological (β = 0.309, p < 0.001) factors were significantly associated with perceived decline in HIV incidence, while sexual behavioral factors were not (β = 0.019, p > 0.05). The model demonstrated good fit (CFI = 0.987, RMSEA = 0.030, χ²/df = 1.389).
Conclusion: The perceived reduction in HIV incidence in Ekiti State is primarily associated with social and biological interventions. These findings highlight the value of integrated public health approaches and support efforts toward Sustainable Development Goal 3 (Good health and well-being).

Keywords

Supporting Institution

We hereby declare that there is no form of funding received for this study.

Project Number

6755

Ethical Statement

This study was conducted in full compliance with the ethical principles outlined in the Declaration of Helsinki. Ethical approval was obtained from the Ethical and Legal Review Committee (ELRC) of the Federal University Oye-Ekiti, Nigeria, with approval number ELRC/SOS/002. All participants involved in the study provided written informed consent prior to their inclusion. The research team ensured that participant confidentiality, data protection, and ethical conduct were upheld throughout the research process, in line with the university’s research ethics policy.

Thanks

The authors do not wish to acknowledge any individual or institution.

References

  1. 1. Joint United Nations Programme on HIV/AIDS (UNAIDS). Nigeria country data [Internet]. 2024 [cited 2025 Dec 25]. Available from: https://www.unaids.org/en/regionscountries/countries/nigeria
  2. 2. Joint United Nations Programme on HIV/AIDS (UNAIDS). Key results in Nigeria [Internet]. 2024 [cited 2025 Dec 25]. Available from: https://open.unaids.org/countries/nigeria
  3. 3. Ekiti State Action Committee on AIDS. HIV/AIDS Ekiti state strategic plan for action (2010-2015). 2009. Unpublished document obtained from the Ekiti State Aids Control Agency.
  4. 4. Ekiti State Action Committee on AIDS. Ekiti state HIV and AIDS strategic plan for action (2021-2025). 2021. Unpublished document obtained from the Ekiti State Aids Control Agency.
  5. 5. Salihu HM, Murtala HA, Murtala AM, Abdullahi AA, Abbas MA, Yusuf AL, et al. HIV‐tuberculosis co‐infection in conflict zones of Nigeria. Trop Med Int Health. 2025;30(7):625-32. doi:10.1111/tmi.14112.
  6. 6. Ali MJ, Onoja A, Shambe I, Afolaranmi T, Egbere OJ, Olorunfemi PO, et al. Prevalence of human immunodeficiency virus and selected sexually transmitted infections among female sex workers in Jos, Nigeria. Journal of Epidemiological Society of Nigeria. 2025;8(1-2):46-57. doi:10.5281/zenodo.16889829.
  7. 7. Ukaegbu E, Alibekova R, Ali S, Crape B, Issanov A. Trends of HIV/AIDS knowledge and attitudes among Nigerian women between 2007 and 2017 using Multiple Indicator Cluster Survey data. BMC Public Health. 2022;22(1):440. doi:10.1186/s12889-022-12865-y.
  8. 8. Joint United Nations Programme on HIV/AIDS. HIV and AIDS in Nigeria: 2018 UNAIDS statistics for Nigeria [Internet]. 2019 [cited 2025 December 25]. Available from: https://www.avert.org/professionals/hiv-around-world/sub-saharan-africa/nigeria

Details

Primary Language

English

Subjects

Health Informatics and Information Systems, Health Services and Systems (Other)

Journal Section

Research Article

Publication Date

March 24, 2026

Submission Date

July 6, 2025

Acceptance Date

March 4, 2026

Published in Issue

Year 2026 Volume: 18 Number: 1

APA
Benjamin, O. O., Akinola, G. W., & Alhassan, G. N. (2026). Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors. Konuralp Medical Journal, 18(1), 6-16. https://doi.org/10.18521/ktd.1732834
AMA
1.Benjamin OO, Akinola GW, Alhassan GN. Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors. Konuralp Medical Journal. 2026;18(1):6-16. doi:10.18521/ktd.1732834
Chicago
Benjamin, Oluwasegun Olawale, Gbenga Wilfred Akinola, and Gloria Nnadwa Alhassan. 2026. “Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors”. Konuralp Medical Journal 18 (1): 6-16. https://doi.org/10.18521/ktd.1732834.
EndNote
Benjamin OO, Akinola GW, Alhassan GN (March 1, 2026) Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors. Konuralp Medical Journal 18 1 6–16.
IEEE
[1]O. O. Benjamin, G. W. Akinola, and G. N. Alhassan, “Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors”, Konuralp Medical Journal, vol. 18, no. 1, pp. 6–16, Mar. 2026, doi: 10.18521/ktd.1732834.
ISNAD
Benjamin, Oluwasegun Olawale - Akinola, Gbenga Wilfred - Alhassan, Gloria Nnadwa. “Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors”. Konuralp Medical Journal 18/1 (March 1, 2026): 6-16. https://doi.org/10.18521/ktd.1732834.
JAMA
1.Benjamin OO, Akinola GW, Alhassan GN. Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors. Konuralp Medical Journal. 2026;18:6–16.
MLA
Benjamin, Oluwasegun Olawale, et al. “Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors”. Konuralp Medical Journal, vol. 18, no. 1, Mar. 2026, pp. 6-16, doi:10.18521/ktd.1732834.
Vancouver
1.Oluwasegun Olawale Benjamin, Gbenga Wilfred Akinola, Gloria Nnadwa Alhassan. Understanding the Decline of HIV Incidence: Insights from Structural Equation Modeling of Social and Biological Factors. Konuralp Medical Journal. 2026 Mar. 1;18(1):6-16. doi:10.18521/ktd.1732834

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