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Impact of Electronic Disease Reporting on Disease Surveillance in Nigerian Public Health Facilities

Abstract

Electronic disease reporting has become increasingly important in strengthening public health surveillance because digital reporting systems can facilitate the timely transmission, processing, analysis, and use of disease-related information. Electronic disease reporting refers to the use of digital platforms, electronic notification systems, mobile applications, web-based reporting tools, or other information technologies to submit, transmit, store, and process information about suspected, probable, or confirmed diseases and other public health events. Disease surveillance refers to the systematic and continuous collection, analysis, interpretation, dissemination, and use of health information for the early identification and monitoring of diseases and public health threats. Public health facilities serve as important sources of disease surveillance information because healthcare workers routinely identify suspected cases and generate data required for disease notification and outbreak response. In Nigeria, conventional paper-based reporting and fragmented information systems may contribute to delays, incomplete reporting, transcription errors, data duplication, limited feedback, and difficulties in aggregating surveillance information. Electronic disease reporting may improve the timeliness, completeness, accuracy, accessibility, and transmission of disease notifications, thereby strengthening surveillance activities and supporting faster public health decision-making. However, challenges such as inadequate digital infrastructure, unreliable electricity and internet connectivity, limited healthcare worker training, poor interoperability, technical problems, data-security concerns, and inconsistent system use may affect the effectiveness of electronic reporting. Against this background, this study investigates the impact of electronic disease reporting on disease surveillance in Nigerian public health facilities. The study is anchored on the Health Information Systems Success Model, the Technology Acceptance Model, and the Health Systems Framework. The Health Information Systems Success Model emphasizes system quality, information quality, system use, user satisfaction, and organizational benefits as important factors determining the effectiveness of health information systems. The Technology Acceptance Model explains the adoption and continued use of electronic reporting systems through perceived usefulness and perceived ease of use. The Health Systems Framework recognizes health information systems as a fundamental component of effective health systems and public health decision-making. Collectively, these theoretical perspectives provide a suitable framework for explaining how electronic disease reporting may influence disease surveillance in Nigerian public health facilities. The study will adopt a quantitative cross-sectional research design. Data will be collected from selected Nigerian public health facilities using structured questionnaires for healthcare workers and surveillance officers, electronic reporting-system assessment checklists, disease notification records, surveillance registers, reporting logs, system-use records, and relevant administrative documents. A multistage sampling technique will be employed to select states, local government areas, public hospitals, primary healthcare centres, and eligible healthcare workers involved in disease notification and surveillance activities. Electronic disease reporting will be assessed using indicators such as availability of electronic reporting systems, frequency of system use, proportion of disease notifications submitted electronically, ease of data entry, accessibility of reporting platforms, reporting speed, system reliability, interoperability, availability of technical support, user training, connectivity, and availability of electronic reporting tools. Disease surveillance will be assessed using indicators such as timeliness of disease notification, completeness of reports, accuracy of surveillance data, reporting coverage, consistency of reporting, detection of unusual disease events, availability of surveillance information, response to alerts, data analysis capacity, feedback mechanisms, and use of surveillance information for public health decision-making. Electronic reporting records will be reviewed where possible to complement questionnaire responses and provide objective measures of reporting performance. Descriptive statistics will be used to summarize electronic reporting practices and disease surveillance indicators. Inferential statistical techniques, including chi-square tests, correlation analysis, and multiple regression analysis, will be used to determine the impact of electronic disease reporting on disease surveillance. Diagnostic tests will also be conducted to assess the reliability of research instruments, model assumptions, goodness of fit, multicollinearity, and robustness of the findings. The study is expected to find that effective electronic disease reporting has a significant positive impact on disease surveillance in Nigerian public health facilities. Facilities that consistently use functional electronic reporting systems are expected to demonstrate more timely and complete disease notifications, improved data accessibility, greater reporting consistency, and faster transmission of surveillance information to relevant public health authorities. Electronic reporting may reduce delays associated with manual compilation and physical transmission of reports while minimizing some transcription and aggregation errors. Real-time or near-real-time transmission may also improve the ability of surveillance officers and public health authorities to identify unusual disease patterns and initiate investigations more promptly. Conversely, inadequate infrastructure, poor internet connectivity, unreliable electricity, insufficient training, system downtime, weak interoperability, and limited technical support may reduce the effectiveness of electronic reporting. Furthermore, electronic reporting alone may not guarantee effective disease surveillance because surveillance performance also depends on healthcare worker capacity, case detection, diagnostic services, reporting compliance, data quality, laboratory confirmation, supervisory systems, and the capacity of public health authorities to analyze and act on surveillance information. Therefore, electronic reporting should be implemented as part of an integrated disease-surveillance system. The study is expected to contribute to the literature on electronic disease reporting, disease surveillance, health informatics, digital health, epidemiology, health information systems, public health emergency preparedness, and health systems in Nigeria by providing empirical evidence on the role of digital reporting technologies in strengthening disease surveillance. 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, state epidemiology units, public health facilities, health information management departments, healthcare administrators, development partners, and policymakers regarding strategies for improving digital surveillance systems. The study will also provide evidence-based recommendations for expanding electronic disease reporting, improving digital infrastructure and internet connectivity, strengthening healthcare worker training, enhancing system interoperability, improving technical support, strengthening data-quality monitoring, establishing effective feedback mechanisms, improving data security, and integrating electronic reporting platforms with national and subnational disease-surveillance systems in Nigeria.

Keywords: Electronic disease reporting, disease surveillance, Nigerian public health facilities, health informatics, digital health, epidemiology, disease notification, health information systems, public health surveillance, electronic reporting, disease monitoring, public health.