The interplay of socio-demographic factors and disease prevalence: insights into malaria, Hepatitis B, and Hepatitis C in Lafia, Nasarawa State, Nigeria

Abstract

BACKGROUND: Infectious diseases, including malaria, Hepatitis B surface antigen (HBsAg), and Hepatitis C virus (HCV), remain significant public health concerns in developing regions like Lafia, Nasarawa State, Nigeria. Socio-demographic factors, such as gender, age, income level, and access to healthcare resources, have been shown to influence the prevalence and outcomes of these diseases. Despite their importance, there is limited research exploring the interrelationship between these infections and socio-demographic factors within this region. The study aims to investigate the prevalence of malaria, HBsAg, and HCV among patients in Lafia, Nigeria, and to examine the relationship between these infections and socio-demographic factors. Specifically, it seeks to identify correlations between demographic variables, clinical manifestations, and health behaviors, such as mosquito net usage and vaccination status. METHOD: A cross-sectional design was employed, involving 264 patients from Lafia, Nasarawa State, Nigeria. Data were collected using structured questionnaires which were pretested in a previous study to gather demographic information, vaccination status, and clinical symptoms. Laboratory assessments confirmed the presence of malaria, HBsAg, and HCV. Statistical analysis, including correlations between socio-demographic factors and disease prevalence were analyzed, and used to identify associations between socio-demographic factors, clinical manifestations, and disease prevalence. RESULTS: Significant findings include a negative correlation between male sex and malaria infection (Pearson Correlation = -0.139, p = 0.024), a positive correlation between age and HCV prevalence (Pearson Correlation = 0.218, p < 0.001), and a negative correlation between the use of mosquito nets and malaria infection (Pearson Correlation = -0.231, p < 0.001). Additionally, HBsAg-positive individuals exhibited more pronounced clinical symptoms (Pearson Correlation = 0.173, p = 0.005), while higher income levels correlated with reduced mosquito net usage (Pearson Correlation = -0.144, p = 0.020). The study underscores the role of socio-demographic factors in shaping the prevalence of malaria, HBsAg, and HCV. CONCLUSION: This study highlights the interplay between socio-demographic factors and the prevalence of malaria, HBsAg, and HCV in Lafia, Nigeria. It underscores the importance of comprehensive public health interventions tailored to the specific needs of the population to reduce disease burden and improve health outcomes, including health education, to address socio-economic vulnerabilities and promote preventive measures such as mosquito net usage. Addressing these factors could mitigate the burden of infectious diseases in Lafia and similar regions.