ArticleBMC public health2023
Timeliness and completeness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020-2021.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Performance of Routine Disease Surveillance in Sub-Saharan Africa (2010-2024): A Systematic Review and Meta-Analysis of Core Reporting and Detection Indicators.Health science reports · 2026Review
- Health data reporting challenges in public health facilities in the age of DHIS2: a mixed-methods study in the Teso sub-region of Uganda.BMC health services research · 2026Article
- Climate variability and malaria incidence trends in Yumbe District, West Nile Sub-region of Uganda (2017-2021).Malaria journal · 2026Article
- Spatial Patterns and Epidemiological Drivers of Foot-and-Mouth Disease Outbreaks in Uganda.Transboundary and emerging diseases · 2026Article
- Decentralized by Design, Centralized by Necessity: The Blockchain-Surveillance Dilemma.Blockchain in healthcare today · 2026Article
- More Timely Response to Outbreaks of Zoonotic Compared to Non-Zoonotic Diseases in Animals in Tanzania.Veterinary medicine and science · 2025Article
- Maintenance of service delivery during medical countermeasures deployment: The association between the COVID-19 vaccine rollout and continuity of routine childhood immunization services in Uganda.PLOS global public health · 2025Article
- Comparative Effectiveness of DHIS2 and FAIR Data Approaches for Privacy-Preserving Health Data Analytics in Uganda: A Systematic Review.ClinicoEconomics and outcomes research : CEOR · 2025Review
- Practice of Epidemiological Surveillance and Availability of Resources in Health Facilities of the Littoral Region of Cameroon: A Cross-Sectional Study.Research and reports in tropical medicine · 2025Article
- Capacities in Laboratory-Based Epidemiological Surveillance in Cameroon's Littoral Region: A Cross-Sectional Study.Risk management and healthcare policy · 2025Article
- Effect of Augmented Capacity Development Interventions (ACDI) on Information Utilization for Decision-Making in the Routine Health Information System in Public Health Institutions of Gofa Zone, Southern Ethiopia: A Cluster Randomized Controlled Trial.Health services insights · 2025Article
- Towards improving district health information system data consistency, report completeness and timeliness in Neno district, Malawi.BMC medical informatics and decision making · 2024Article
- Strengthening anthrax outbreak response and preparedness: simulation and stakeholder education in Namisindwa district, Uganda.BMC veterinary research · 2024Article
- Ebola disease outbreak caused by the Sudan virus in Uganda, 2022: a descriptive epidemiological study.The Lancet. Global health · 2024Article
- Automating the Generation of Notifiable Bacterial Disease Reports: Proof-of-Concept Study and Implementation in Six Hospitals in Thailand.The American journal of tropical medicine and hygiene · 2024Article
- Monitoring livestock pregnancy loss.eLife · 2024Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionDisease surveillance provides vital data for disease prevention and control programs. Incomplete and untimely data are common challenges in planning, monitoring, and evaluation of health sector performance, and health service delivery. Weekly surveillance data are sent from health facilities using mobile tracking (mTRAC) program, and synchronized into the District Health Information Software version 2 (DHIS2). The data are then merged into district, regional, and national level datasets. We described the completeness and timeliness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020-2021.
methodsWe abstracted data on completeness and timeliness of weekly reporting of epidemic-prone diseases from 146 districts of Uganda from the DHIS2.Timeliness is the proportion of all expected weekly reports that were submitted to DHIS2 by 12:00pm Monday of the following week. Completeness is the proportion of all expected weekly reports that were completely filled and submitted to DHIS2 by 12:00pm Wednesday of the following week. We determined the proportions and trends of completeness and timeliness of reporting at national level by year, health region, district, health facility level, and facility ownership.
resultsNational average reporting timeliness and completeness was 44% and 70% in 2020, and 49% and 75% in 2021. Eight of the 15 health regions achieved the target for completeness of ≥ 80%; Lango attained the highest (93%) in 2020, and Karamoja attained 96% in 2021. None of the regions achieved the timeliness target of ≥ 80% in either 2020 or 2021. Kampala District had the lowest completeness (38% and 32% in 2020 and 2021, respectively) and the lowest timeliness (19% in both 2020 and 2021). Referral hospitals and private owned health facilities did not attain any of the targets, and had the poorest reporting rates throughout 2020 and 2021.
conclusionWeekly surveillance reporting on epidemic prone diseases improved modestly over time, but timeliness of reporting was poor. Further investigations to identify barriers to reporting timeliness for surveillance data are needed to address the variations in reporting.
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