Schistosomiasis Seroprevalence among Children Aged 0-14 Years in Nigeria, 2018

Anne Straily, Israel Tamunonengiyeofori, Ryan E. Wiegand, Nnaemeka C. Iriemenam, McPaul I. Okoye,Ayuba B. Dawurung, Nkechi Blessing Ugboaja, Martha Tongha,Nishanth Parameswaran, Stacie M. Greby, Matthias Alagi, Nseobong M. Akpan, William E. Nwachukwu,Nwando Mba, Diana L. Martin, W. Evan Secor, Mahesh Swaminathan,Ifedayo Adetifa,Chikwe Ihekweazu

AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE(2024)

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摘要
The first nationally representative, population-based study of schistosomiasis seroprevalence in Nigeria was conducted using blood samples and risk-factor data collected during the 2018 Nigeria HIV/AIDS Indicator and Impact Survey (NAIIS). Schistosomiasis seroprevalence was estimated by analyzing samples for reactivity to schistosome soluble egg antigen (SEA) in a multiplex bead assay; NAIIS survey data were assessed to identify potential risk factors for seropositivity. The SEA antibody data were available for 31,459 children aged 0 to 14 years. Overall seroprevalence was 17.2% (95% CI: 16.3-18.1%). Seropositive children were identified in every age group, including children < 5 years, and seroprevalence increased with increasing age (P < 0.0001). Several factors were associated with increased odds of seropositivity, including being a boy (odds ratio [OR] = 1.34, 95% CI: 1.24-1.45), living in a rural area (OR = 2.2, 95% CI: 1.9-2.5), and animal ownership (OR = 1.67, 95% CI: 1.52-1.85). Access to improved sanitation and drinking water sources were associated with decreased odds of seropositivity (OR = 0.52, 95% CI: 0.47-0.58 and OR = 0.53, 95% CI: 0.47-0.60, respectively) regardless of whether the child lived in a rural (sanitation: adjusted odds ratio [aOR] = 0.7, 95% CI: 0.6-0.8; drinking water: aOR = 0.7, 95% CI: 0.6-0.8) or urban area (sanitation: aOR = 0.6, 95% CI: 0.5-0.7; drinking water: aOR = 0.5, 95% CI: 0.4-0.6), highlighting the importance of these factors for schistosomiasis prevention and control. These results identified additional risk populations (children < 5 years) and a new risk factor (animal ownership) and could be used to monitor the impact of control programs.
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