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Effect of Digital Disease-Surveillance Education on Disease Reporting Knowledge among Community Health Volunteers in Nigeria

Abstract

Effective disease surveillance and timely reporting are essential components of public health systems because early identification and communication of suspected cases can support outbreak detection, rapid response, disease control, and prevention of further transmission. Community health volunteers play an important role in linking communities with formal health systems, particularly in underserved and hard-to-reach areas where they may identify individuals with symptoms of infectious diseases and communicate health concerns to healthcare facilities and public health authorities. However, limited knowledge of digital disease-surveillance procedures, case identification, reporting requirements, electronic reporting platforms, data quality, confidentiality, and timely notification may affect the effectiveness of community-level surveillance activities in Nigeria. Digital disease-surveillance education provides an opportunity to strengthen community health volunteers' understanding of digital reporting processes and improve their preparedness to participate in public health surveillance. Against this background, this study investigates the effect of digital disease-surveillance education on disease reporting knowledge among community health volunteers in Nigeria. The study will be anchored on the Health Belief Model, Social Cognitive Theory, and Technology Acceptance Model. The Health Belief Model explains how community health volunteers' perceptions of disease susceptibility, severity, benefits of timely reporting, barriers to reporting, and cues to action may influence their willingness to identify and report suspected diseases. Social Cognitive Theory emphasizes self-efficacy, observational learning, reinforcement, practical demonstration, and environmental influences in developing disease-surveillance knowledge and reporting competence. The Technology Acceptance Model explains how perceived usefulness, perceived ease of use, accessibility, and acceptance of digital reporting platforms may influence volunteers' understanding and utilization of electronic disease-surveillance systems. Collectively, these theoretical perspectives provide a suitable framework for explaining how digital disease-surveillance education may influence disease reporting knowledge among community health volunteers in Nigeria. The study will adopt a quantitative quasi-experimental or analytical cross-sectional research design. The study population will comprise community health volunteers aged 18 years and above who participate in community-based health activities in selected urban, semi-urban, rural, and hard-to-reach communities across Nigeria. A multistage sampling technique will be used to select geopolitical zones, states, local government areas, communities, health facilities, community health programmes, and eligible volunteers. Digital disease-surveillance education will be assessed using indicators such as exposure to training sessions, frequency and duration of education, identification of priority diseases and unusual health events, recognition of suspected cases, knowledge of standard case definitions, reporting timelines, electronic reporting procedures, use of mobile phones or digital reporting platforms, completion of reporting forms, data accuracy, confidentiality, data verification, communication with supervisors, and referral or notification procedures. Disease reporting knowledge will be assessed using indicators such as identification of reportable conditions, recognition of signs and symptoms requiring notification, understanding of reporting channels, knowledge of reporting timelines, ability to complete digital reporting forms, appropriate use of electronic surveillance platforms, data-quality requirements, confidentiality principles, identification of unusual disease patterns, and appropriate communication of suspected cases to designated health authorities. Data will be collected using structured questionnaires, standardized disease-surveillance knowledge assessment instruments, scenario-based reporting questions, digital training attendance records, electronic reporting records where accessible and appropriately consented to, and relevant community health programme documents. Descriptive statistics will be used to summarize participants' characteristics, previous surveillance training, digital-device access, disease-reporting experience, sources of surveillance information, and levels of disease reporting knowledge. 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 digital disease-surveillance education on disease reporting knowledge. Where a quasi-experimental design is adopted, knowledge scores before and after the educational intervention may be compared with those of a comparison group to determine changes associated with the intervention. Diagnostic tests will also be conducted to assess the reliability, validity, and robustness of the findings. The study is expected to find that digital disease-surveillance education has a significant positive effect on disease reporting knowledge among community health volunteers in Nigeria. Volunteers exposed to structured and practical digital disease-surveillance education are expected to demonstrate greater knowledge of disease identification, reporting procedures, reporting timelines, electronic reporting platforms, data-quality requirements, and confidentiality principles than volunteers without comparable training. Practical demonstrations and scenario-based exercises may improve volunteers' ability to recognize suspected cases and unusual health events and communicate relevant information through appropriate reporting channels. Education may also increase confidence in using mobile devices and electronic surveillance tools and improve understanding of the importance of timely and accurate reporting. However, limited access to smartphones or other digital devices, poor internet and network connectivity, high data costs, inadequate technical support, limited electricity supply, complex reporting platforms, workload, and insufficient supervision may reduce the effectiveness of digital education alone. The study therefore expects accessible, practical, standardized, and regularly reinforced digital disease-surveillance education, supported by functional reporting systems and adequate technical resources, to contribute significantly to improved disease reporting knowledge among community health volunteers in Nigeria. The study is expected to contribute to the literature on digital disease surveillance, disease reporting, community-based surveillance, health education, digital health, community health volunteers, outbreak preparedness, infectious disease control, epidemiology, 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, primary healthcare facilities, community health programmes, public health practitioners, development partners, and policymakers regarding strategies for strengthening community-level disease surveillance. The study will also provide evidence-based recommendations for integrating digital disease-surveillance education into community health volunteer training programmes, improving access to functional electronic reporting platforms, strengthening digital literacy, providing reliable technical support and connectivity, simplifying reporting procedures, improving supervision and feedback mechanisms, and enhancing the capacity of community health volunteers to contribute effectively to disease surveillance and outbreak response across Nigeria.

Keywords: Digital disease-surveillance education, disease reporting knowledge, community health volunteers, disease surveillance, digital health, community-based surveillance, outbreak preparedness, epidemiology, health education, Nigeria, public health.