ArticlePublic health in practice (Oxford, England)2023
Evaluation of the malaria surveillance system - Adaklu District, Volta Region, Ghana, 2019.
Article in Public health in practice (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Article
- Enabling data-driven decision-making for innovative health care and delivery in Africa.npj health systems · 2025Review
- Quality of routine malaria data captured at primary health facilities in the Hohoe Municipality, Ghana.Scientific reports · 2025Article
- Human factors methods in the design of digital decision support systems for population health: a scoping review.BMC public health · 2024Article
- Assessment of the quality of malaria surveillance and laboratory services for diagnosis in three districts of Gujarat state, India.Frontiers in public health · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: We evaluated the malaria surveillance system in Adaklu District of the Volta Region of Ghana to determine if the system was meeting its objectives and assessed its usefulness and attributes. Study design: Descriptive cross-sectional design was used in evaluating the surveillance system. Methods: We interviewed stakeholders using a semi-structured questionnaire on case detection and reporting. We assessed the system attributes using the Centers for Disease Control and Prevention updated guidelines for evaluating public health surveillance systems. We extracted and reviewed malaria surveillance data from the District Health Management Information System 2. Summary statistics and direct content analysis were performed on quantitative and qualitative data respectively. Results: Of the 80,441 suspected malaria cases recorded in Adaklu District from 2014 to 2018, 47,917 (59.6%) cases were confirmed. The system was meeting its objective of detecting malaria cases and monitoring trends in the population however, the system missed an epidemic in August 2016. Data generated from the surveillance system is used by the NMCP to aid in the distribution of logistics such as LLINs, RDT test kits, and track malaria control progress in the district. Staff at all levels were able to detect, confirm, treat and report malaria. All sub-districts/health facilities reported to the district and reports were all accurate and timely. The predictive value positive was 62.9%. Conclusions: The malaria surveillance system in Adaklu District was useful and meeting its set objective of monitoring trends of malaria in the population. It was simple, flexible, acceptable and representative; however, the system was not detecting epidemics. The District Health Management Team should set alert and epidemic thresholds to help detect promptly epidemics of malaria in the district.
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