English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Background: Globally, Human Immunodeficiency Virus, and malaria co-infection are responsible for high rates of disease and death predominantly in sub-Saharan Africa. However, the relationship between the socio-economic determinants of the human immunodeficiency virus and malaria co-infection has not been established. Therefore, this study aims to determine the socio-economic variables associated with human immunodeficiency virus and malaria co-infection among adults in peri-urban secondary hospitals in the North Central Zone, Nigeria. Method: A retrospective descriptive cross-sectional study was carried out among human immunodeficiency virus-positive patients at six selected peri-urban secondary hospital facilities in the North Central Zone, Nigeria. Continuos variable was compared using the student t-test, or Wilcoxon test, while the categorical variable was compared using Chi-square and Fisher’s exact test. The significance level was kept at p ≤  0.05.Results: This study showed that patients of 61 years and above, those between 18 and 30 years of age are at risk of HIV/malaria co-infection RR 1.09 (0.92 - 1.31) and (95% CI), 1.02 (0.96 - 1.08). A significant relationship was reported between the likelihood of co-infection and education (p = 0.023), residence (p = 0.001), employment, (p u003c 0.001) and income (p u003c 0.001). Similarly, the highest proportion of malaria diagnosis 547 (80.9%) was among the un-employed patient’s contrary to the least proportion reported among employed patients 84 (68.3%). Using a logistic regression model, it was noted that the proportion of co-infection among HIV seropositive patients is negatively associated with their income.Conclusion: Findings from this study revealed a strong association between socio-economic variables and HIV/malaria co-infection among the study population. These socio-economic variables could serve as an essential indicator in any proposed intervention programme and could help to predict future co-infection rates in regions where both infectious diseases are dominant.

Socio-Economic Determinants of HIV-Malaria Co-Infection among Adults in the North Central Zone, Nigeria