Assessing the Socioeconomic Determinants of Malaria Prevalence Among Students in Anyigba
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Abstract
Background: Malaria remains a major public health concern in Nigeria, with university students in endemic areas particularly vulnerable due to varying socioeconomic conditions. This study investigates the influence of socioeconomic factors on malaria prevalence among students of Kogi State University, Anyigba, Nigeria.
Aims: The study aimed at assessing the socioeconomic determinants of malaria prevalence among students in Anyigba, Kogi State. To also examine the relationship between students' socioeconomic status and malaria incidence. To identify key environmental and behavioral factors contributing to malaria exposure, and to recommend policy and health interventions tailored to student populations in malaria-endemic areas.
Methods: A cross-sectional descriptive design was adopted. Stratified random sampling was used to select participants across variables such as age, gender, income, and housing types. Data were collected through structured questionnaires and analyzed using logistic regression to determine significant predictors of malaria prevalence.
Results: The findings revealed a high malaria prevalence among low-income students and those living in shared accommodations. Key determinants of malaria incidence included low income, poor housing conditions, and limited access to healthcare services. Notably, students with poor access to healthcare had a malaria prevalence of 68%, compared to 33% among those with better access.
Conclusion: Socioeconomic factors significantly influence malaria prevalence in the student population. Financial constraints, inadequate housing, and poor healthcare access increase vulnerability to infection. An integrated malaria control approach is recommended, including university-led awareness campaigns, improved sanitation in student accommodations, and enhanced collaboration with local healthcare providers.
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Copyright (c) 2025 Jamiu Adeniyi Yusuf, Dauda Musa Segun, Olalere Victoria Mayowa

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References
Adewale, A. G., Adeniran, A. J., & Oluyinka, S. A. (2019). The effect of personal selling and marketing on firm sales growth. IRJDO - Journal of Business Management, 5(1), 118. Researchgate
Adeyemi, O., Awolola, T. S., & Okunlola, O. M. (2018). Impact of Climate on Malaria Transmission in Nigeria: A Case Study of Lagos and Akure. Environmental Health Perspectives, 126(3), 370-378. https://doi.org:10.5772/intechopen.86912
Adinma, J.I., Umeononihu, O.S. and Umeh, M.N. (2017) Maternal Nutrition in Nigeria. Tropical Journal of Obstetrics and Gynaecology, 34, 79-84. https://doi.org/10.4103/TJOG.TJOG_25_17
Chiziba, C., Mercer, L. D., Diallo, O., Bertozzi-Villa, A., Weiss, D. J., Gerardin, J., & Ozodiegwu, I. D. (2024). Socioeconomic, demographic, and environmental factors may inform malaria intervention prioritization in urban Nigeria. International journal of environmental research and public health, 21(1), 78. https://doi.org/10.3390/ijerph21010078
Cu, A., Meister, S., Lefebvre, B., & Ridde, V. (2021). Assessing healthcare access using the Levesque’s conceptual framework–a scoping review. International journal for equity in health, 20(1), 116. https://doi.org/10.1186/s12939-021-01416-3
Feachem, S.R., Roll Back (2018). Malaria: an historical footnote.https://doi.org/10.1186/s12936-018-2582-0
Fondjo, L. A., Addai-Mensah, O., Annani-Akollor, M. E., Quarshie, J. T., Boateng, A. A., Assafuah, S. E., & Owiredu, E. W. (2020). A multicenter study of the prevalence and risk factors of malaria and anemia among pregnant women at first antenatal care visit in Ghana. PloS one, 15(8). https://doi.org/10.1371/journal.pone.0238077
Ge, Y., Liang, D., Cao, J., Gosling, R., Mushi, V., & Huang, J. (2023). How socioeconomic status affected the access to health facilities and malaria diagnosis in children under five years: findings from 19 sub-Saharan African countries. Infectious Diseases of Poverty, 12(1), 29. https://doi.org/10.1186/s40249-023-01075-2
Lohr, S. L. (2020). Sampling: Design and Analysis. Boston: Cengage. www.taylorfrancis.com
Lucas, A. O., & Gilles, H. M. (2019). Short Textbook of Public Health Medicine for the Tropics. CRC Press. Archive.org
Nakamura, H., Schlauenhauf, P., & Tatem, A. J. (2020). Social Determinants and Health Interventions in Malaria Control. Tropical Medicine & International Health, 25(2), 134–142. https://doi.org/10.1186/s12936-019-2760-8
National population commission, Nigeria. Nigeria demographic health survey (DHS). Abuja, Nigeria, 2018. Dhsprogram
Odukoya, J. A., Adekeye, O., & Okunlola, S. (2017). Assessing the Effectiveness of Mobile Learning Devices in Tertiary Institutions: The Experience of Undergraduates in a Nigerian Private University. International Journal of Interactive Mobile Technologies (iJIM), 11(4), pp. 160–169. https://doi.org/10.3991/ijim.v11i4.6828
Oluwole, B. F., Omisore, O. A., & Adeniyi, T. S. (2018). Population census and development planning in Nigeria. African Population Studies, 32(1), 56-70. aps.journals.ac.za
Omondi, C. J., Odongo, D., Otambo, W. O., Ochwedo, K. O., Otieno, A., Lee, M. C., Kazura, J. W., Githeko, A. K., & Yan, G. (2023). Malaria diagnosis in rural healthcare facilities and treatment-seeking behavior in malaria endemic settings in western Kenya. PLOS global public health, 3(7). https://doi.org/10.1371/journal.pgph.0001532
Schlagenhauf, P., Grobusch, M. P., Hamer, D. H., Asgeirsson, H., Jensenius, M., Eperon, G., ... & Gautret, P. (2018). Area of exposure and treatment challenges of malaria in Eritrean migrants: a GeoSentinel analysis. Malaria journal, 17, 1-9. https://doi.org/10.1186/s12936-018-2586-9
Tatem, A. J., Jia, P., Ordanovich, D., Falkner, M., Huang, Z., Howes, R., ... & Smith, D. L. (2017). The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics. The Lancet Infectious Diseases, 17(1), 98-107.https://doi.org/10.1016/s1473-3099(16)30326-7
Tzenios, N. (2019). The determinants of access to healthcare: a review of individual, structural, and systemic factors. Journal of Humanities and Applied Science Research, 2(1), 1-14. Researchgate
Wang, D., Cao, X., & Huang, X. (2021). Equity of accessibility to health care services and identification of underserved areas. Chinese Geographical Science, 31, 167-180. https://doi.org/10.1007/s11769-021-1181-0
World Health Organization. (2019). World malaria report 2019. Geneva: WHO. iris.who.int
Jamiu Adeniyi Yusuf