Evidence map›Paper›PMID 40320439›Full record

ArticleScientific reports2025

Evaluation of meningitis surveillance system in rural area, Rwanda.

Solange Nyinawabeza, Jean Claude Niyoyita, Emmanuel Nshimiyimana, Jerome Ndayisenga, Angela Umutoni, Caroline Stamatakis

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Solange NyinawabezaKibogora Level Two Teaching Hospital, Nyamasheke, Rwanda. nyinawabeza@gmail.com.
Jean Claude NiyoyitaAfrican Field Epidemiology Network, Kigali, Rwanda.
Emmanuel NshimiyimanaAfrican Field Epidemiology Network, Kigali, Rwanda.
Jerome NdayisengaResearch, Innovation and Data Science Division, Rwanda Biomedical Centre (RBC), Kigali, Rwanda.
Angela UmutoniDivision of Global HIV &TB, Centers for Disease Control and Prevention, Kigali, Rwanda.
Caroline StamatakisDivision of Global HIV &TB, Centers for Disease Control and Prevention, Kigali, Rwanda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial meningitis is a significant public health concern, with over 1.2 million cases reported globally each year. Rwanda is at increased risk of meningitis outbreaks due to its proximity to countries that lie in the meningitis belt. Rwanda has been conducting surveillance and recording meningitis outbreak cases across the country since 2012. We evaluated the meningitis surveillance system at Kibogora Level Two Teaching hospital, Nyamasheke district of Rwanda to assess whether the surveillance objectives were being met. The study was cross-sectional, using purposive sampling to select healthcare providers participating in the meningitis surveillance. Rwanda's bacterial meningitis data from 2017 to 2021 was collected from clinical registers and Rwanda's electronic integrated disease surveillance system (eIDSR) from Kibogora Level Two Teaching Hospital catchment area, Nyamasheke district, Rwanda. The study area was chosen because a meningitis outbreak was recorded in the area and its bordering country namely Democratic of Republic of Congo (DRC) prior to the current study period. Information on the participant's demographics, occupation, training, professional experience, and their perception on the surveillance system were gathered using a structured questionnaire. Meningitis surveillance systems attributes including usefulness, acceptability, and flexibility were assessed and categorized as poor (< 50% score), reasonable (50-69%), good (70-90%), or excellent (> 90%) in reference to the study conducted on the evaluation of the meningitis surveillance system in Luanda Province, Angola in March 2017. Data collected from clinical registers and eIDSR were used to assess core functions of the meningitis surveillance system including accuracy in detection of cases, laboratory confirmation of cases, and availability of evaluation reports. Descriptive statistics were analyzed using Microsoft Office Excel. Thirty-one healthcare providers working on meningitis surveillance in the Kibogora Level Two Teaching Hospital were interviewed. During the period under evaluation, 48 suspected cases of meningitis were identified; 43 (90%) met the surveillance case definition, and only 10 (21%) were reported to eIDSR (completeness). Attributes such as flexibility scored good while stability and acceptability scored reasonable. Out of 48 suspected meningitis cases, only 2 (4%) samples were collected from patients and sent to the hospital laboratory for analysis. This study found a good knowledge level of the meningitis surveillance system among healthcare workers; however, the system's core functions, such as notification rate and laboratory confirmation were found to have gaps. The notification rate could be improved by conducting regular refresher courses for healthcare workers supporting surveillance system. Moreover, MoH could enhance the implementation of a national policy requiring mandatory CSF sample testing to confirm pathogens for all suspected cases. Future studies should explore performance-based incentives to improve reporting completeness. Rwanda's experience could provide insights for other low-resource settings facing similar surveillance challenges.

Indexed as

Meningitis, BacterialPopulation SurveillanceAdultCross-Sectional StudiesDisease OutbreaksEpidemiological MonitoringFemaleHealth PersonnelHumansMaleMiddle AgedRural PopulationRwanda

Identifiers

PMID40320439
PMCPMC12050324

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.