Work

Cross-sectional dataset on human papillomavirus (HPV) awareness, vaccination status, and health information sources among adults in five states of Nigeria

Year: 2026

Type: data-paper

Abstract: This article presents a multi-state dataset on awareness, acceptance, and uptake of the Human Papillomavirus (HPV) vaccine among adults residing in selected states in Nigeria. The dataset was generated through a descriptive cross-sectional survey conducted across Oyo, Osun, Kwara, Kogi, and the Federal Capital Territory (FCT), Abuja. These locations were purposively selected to capture variation in sociocultural characteristics, urbanization patterns, healthcare access, and hesample responses on exposure within southern and north-central Nigeria. Each state dataset contains approximately 462 respondent records comprising sociodemographic variables such as sex, age, marital status, religion, educational attainment, and occupation. Additional variables include HPV vaccine awareness, willingness to receive vaccination, vaccination status, knowledge of HPV transmission routes, perception of HPV contagiousness, and sources of information regarding vaccine availability. Information sources reported by respondents included traditional media (radio and television), social media, healthcare workers, workplace interactions, family members, and peer networks. Data collection was conducted using standardized questionnaires administered through trained field enumerators in urban, semi-urban, and selected rural communities. The dataset is valuable for researchers, public health practitioners, policymakers, epidemiologists, and data scientists interested in vaccine hesitancy, public health communication, and immunization behavior in low- and middle-income countries. The standardized structure of the dataset facilitates comparative multi-state analyses, pooled statistical modelling, and exploratory machine learning applications. Statistical power assessment, confidence interval precision analysis, and cluster-based sampling procedures were implemented to improve analytical validity and reproducibility.

Source: Data in Brief

DOI: 10.1016/j.dib.2026.113307