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Effect of Community-Based Guinea-Worm Surveillance on Guinea-Worm Case Detection in Nigeria

Abstract

Guinea-worm disease, also known as dracunculiasis, is a neglected tropical disease caused by the parasite Dracunculus medinensis and historically represented an important public health problem in Nigeria. Although Nigeria was certified free of indigenous human Guinea-worm transmission in 2013, maintaining effective surveillance remains important for preventing reintroduction and ensuring that suspected cases are rapidly identified, investigated, and reported. Community-based surveillance provides an opportunity to strengthen case detection by involving community members, community health workers, traditional leaders, and other local stakeholders in identifying suspected cases and promptly notifying health authorities. Effective surveillance can facilitate early investigation, laboratory confirmation where appropriate, containment measures, contact identification, and rapid response to suspected cases. Against this background, this study investigates the effect of community-based Guinea-worm surveillance on Guinea-worm case detection in Nigeria. The study will be anchored on the Social Ecological Model, Health Belief Model, and Health Systems Framework. The Social Ecological Model emphasizes the interaction between individuals, households, communities, healthcare facilities, and broader health systems in influencing disease recognition, reporting, and surveillance participation. The Health Belief Model explains how perceptions of susceptibility to Guinea-worm disease, perceived severity, perceived benefits of early reporting, perceived barriers, and cues to action may influence community members' willingness to report suspected cases. The Health Systems Framework emphasizes surveillance, health workforce, health information systems, service delivery, governance, financing, and accessibility as essential components of effective disease surveillance and outbreak preparedness. Collectively, these theoretical perspectives provide a suitable framework for explaining how community-based surveillance may influence Guinea-worm case detection in Nigeria. The study will adopt a quantitative community-based analytical or quasi-experimental research design. The study population will comprise residents of selected communities considered relevant for Guinea-worm surveillance, community health workers, surveillance volunteers, traditional leaders, and healthcare personnel involved in disease surveillance and response. A multistage sampling technique will be used to select states, local government areas, communities, households, surveillance units, and healthcare facilities. Community-based Guinea-worm surveillance will be assessed using indicators such as availability of community surveillance activities, number of trained community surveillance personnel, frequency of community visits, community sensitization activities, availability of case definitions and reporting tools, suspected-case identification, notification timeliness, community reporting channels, communication between communities and health facilities, surveillance supervision, investigation procedures, and feedback mechanisms. Guinea-worm case detection will be assessed using indicators such as number of suspected cases identified, number of suspected cases reported, time from suspected symptom recognition to notification, number of suspected cases investigated, number of cases referred for appropriate assessment, number of laboratory or epidemiological investigations completed where applicable, completeness of case reports, and timeliness of investigation and response. Data will be collected using structured questionnaires, surveillance registers, community notification records, healthcare facility records, case investigation forms, laboratory or reference laboratory records where applicable, and programme monitoring documents. Descriptive statistics will be used to summarize participants' characteristics, surveillance coverage, reporting patterns, and case-detection indicators. Inferential statistical techniques, including chi-square tests, t-tests, correlation analysis, and logistic or multiple regression analysis where appropriate, will be used to determine the effect of community-based Guinea-worm surveillance on case detection. Where a quasi-experimental design is adopted, surveillance and case-detection indicators before and after strengthening community-based surveillance may be compared, or communities with enhanced surveillance may be compared with similar communities receiving routine surveillance. Diagnostic tests will also be conducted to assess the reliability, validity, and robustness of the findings. The study is expected to find that effective community-based Guinea-worm surveillance has a significant positive effect on the early detection and investigation of suspected Guinea-worm cases in Nigeria. Communities with trained surveillance personnel, regular sensitization, accessible reporting channels, and strong communication with health authorities are expected to identify and report suspected cases more promptly than communities with limited surveillance activities. Although indigenous transmission has been interrupted in Nigeria, strong community-based surveillance may support the country's post-elimination surveillance capacity by facilitating rapid recognition and investigation of suspected imported or otherwise unusual cases. However, limited surveillance resources, low community awareness, inadequate training, weak communication systems, geographical barriers, and insufficient follow-up may reduce surveillance effectiveness. The study therefore expects sustained, adequately resourced, community-responsive, and well-coordinated surveillance systems to contribute significantly to maintaining Guinea-worm disease surveillance and strengthening rapid case detection in Nigeria. The study is expected to contribute to the literature on community-based disease surveillance, Guinea-worm disease, dracunculiasis, neglected tropical diseases, post-elimination surveillance, disease eradication, community health, and public health in Nigeria. The findings will provide useful information to the Federal Ministry of Health and Social Welfare, Nigeria Centre for Disease Control and Prevention, National Primary Health Care Development Agency, state ministries of health, local government health authorities, disease surveillance officers, community health workers, traditional and community leaders, development partners, and policymakers regarding strategies for maintaining Guinea-worm surveillance capacity. The study will also provide evidence-based recommendations for strengthening community surveillance networks, maintaining trained surveillance personnel, improving community awareness of suspected Guinea-worm disease, strengthening reporting and investigation systems, improving surveillance data management, maintaining rapid response capacity, and integrating post-elimination Guinea-worm surveillance into broader infectious disease and public health surveillance systems in Nigeria.

Keywords: Community-based Guinea-worm surveillance, Guinea-worm case detection, dracunculiasis, Dracunculus medinensis, post-elimination surveillance, disease eradication, neglected tropical diseases, community-based surveillance, Nigeria, public health.