ArticleMalaria journal2024
Evaluation of the malaria case surveillance system in KwaZulu-Natal Province, South Africa, 2022: a focus on DHIS2.
Article in Malaria journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 10 citations in OpenAlex.
- Malaria Test Positivity, Temporal Trends, and Associated Factors Among Clinically Suspected Adult Cases in Maruleng Sub-District, Limpopo Province, South Africa, 2018-2023.International journal of environmental research and public health · 2026Article
- Diagnostic gaps in light microscopy for malaria case management and control in Dilla Zuria Health Facility, southern Ethiopia.Scientific reports · 2026Article
- Scoping Review of the Models for Case-Based Health Programs in Africa: Towards Case-Based Surveillance for HIV in Lesotho.International journal of environmental research and public health · 2026Article
- A bespoke, real-time surveillance system for malaria elimination in Cambodia: architecture, applications and impact.Malaria journal · 2026Article
- Building a tool to assess malaria surveillance and response capacity in malaria post-elimination contexts: a modified and dual-weighted Delphi approach.Infectious diseases of poverty · 2025Article
- Blood donors as a sentinel population for real-time malaria surveillance using the Sysmex XN-31: a one-year review from the National Blood Transfusion Centre in Burkina Faso.Malaria journal · 2025Article
- Evidence-based decision making for malaria elimination applying the Freedom From Infection statistical framework in five malaria eliminating countries: an observational study.The Lancet. Global health · 2025Observational
- Bangladesh should engage the private sector for malaria elimination by 2030.The Lancet regional health. Southeast Asia · 2024Review
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6 authors at 1 institution in 1 country.
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Abstract
backgroundSouth Africa set a target to eliminate malaria by 2023, with KwaZulu-Natal (KZN) Province the malaria-endemic province closest to achieving this goal. Objective two of the National Malaria Elimination Strategic Plan (NMESP) focused on strengthening surveillance systems to support the country's elimination efforts. Regular evaluations of the malaria surveillance systems against the targets of the NMESP objective are crucial in improving their performance and impact. This study aimed to assess whether the malaria surveillance system in KwaZulu-Natal Province meets the NMESP surveillance objective and goals.
methodsA mixed-methods cross-sectional study design was used to evaluate the malaria surveillance system, focusing on the District Health Information System 2 (DHIS2). The study assessed the data quality, timeliness, simplicity, and acceptability of the system. Key personnel from KZN's Provincial malaria control programme were interviewed using self-administered questionnaires to evaluate their perception of the system's simplicity and acceptability. Malaria case data from January 2016 to December 2020 were extracted from the DHIS2 and evaluated for data quality and timeliness.
resultsThe survey respondents generally found the DHIS2-based surveillance system acceptable (79%, 11/14) and easy to use (71%, 10/14), stating that they could readily find, extract, and share data (64%, 9/14). Overall data quality was good (88.9%), although some variables needed for case classification had low completeness and data availability. However, case notifications were not timely, with only 61% (2 622/4 329) of cases notified within 24 h of diagnosis. During the 5-year study period, the DHIS2 captured 4 333 malaria cases. The majority of cases (81%, 3 489/4 330) were categorized as imported, and predominately in males (67%, 2 914/4 333).
conclusionWhile the malaria surveillance system in KZN Province largely met the NMESP surveillance strategic goals, it failed to achieve the overarching surveillance objective of 100% notification of cases within 24 h of diagnosis. The majority of reported cases in KZN Province were classified as imported, emphasizing the importance of complete data for accurate case classification. Engaging with healthcare professionals responsible for case notification and disseminating aggregated data back to them is needed to encourage and improve notification timeliness.
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