Evidence map›Paper›PMID 42688838›Full record

ReviewJournal of tropical medicine2026

Malaria Elimination in Suriname, Timor-Leste and Georgia: Strategic Lessons for Sub-Saharan Africa.

Christian Tague, Aymar Akilimali, Dujardin Makeda, Hermann Yokolo, Joshua Ekouo, Germain Cebweru Murhola, Johan Domga, Josias Silatchom Kamgang, Criss Koba Mjumbe

Abstract readReview
In one paragraph

Review in Journal of tropical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Christian TagueDepartment of Research, Medical Research Circle (MedReC), Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0009-0004-8547-3153
Aymar AkilimaliDepartment of Research, Medical Research Circle (MedReC), Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0000-0001-9393-1215
Dujardin MakedaDepartment of Research, Medical Research Circle (MedReC), Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0009-0001-5928-7187
Hermann YokoloDepartment of Research, Medical Research Circle (MedReC), Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0009-0002-8347-7236
Joshua EkouoDepartment of Research, Medical Research Circle (MedReC), Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0009-0002-8959-8880
Germain Cebweru MurholaFaculty of Medicine, Université Libre des Pays des Grands Lacs, Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0009-0004-0262-7568
Johan DomgaCentre de Recherche et de d'Appui Aux Systèmes de Santé (CRASS), Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0009-0001-0398-432X
Josias Silatchom KamgangCentre de Recherche et de d'Appui Aux Systèmes de Santé (CRASS), Goma, Democratic Republic of the Congo.ORCID https://orcid.org/0009-0004-7121-7052
Criss Koba MjumbeDepartment of Public Health, Faculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo, unilu.ac.cd.ORCID https://orcid.org/0000-0002-6088-2629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaria remains a major cause of morbidity and mortality worldwide, with over 263 million cases and 597,000 deaths estimated in 2023, of which 94% occurred in Sub-Saharan Africa. Despite this heavy burden, several low- and middle-income countries have recently succeeded in eliminating local malaria transmission. Objective: This article describes and synthesises malaria elimination experiences in Suriname, Timor-Leste and Georgia, all three certified malaria-free by the World Health Organization in 2025, to identify strategic lessons and contextual factors that may inform elimination efforts in malaria-endemic countries, including those in Sub-Saharan Africa. Methodology: A structured narrative review was conducted using official reports from WHO, the Global Fund and PAHO; national public health documents; and peer-reviewed articles indexed in PubMed, Scopus and Google Scholar between 2012 and 2025. Search terms included 'malaria elimination,' 'malaria-free certification,' 'Suriname malaria,' 'Timor-Leste malaria' and 'Georgia malaria.' Inclusion criteria required relevance to elimination strategies, publication in English or French and availability in full text. Grey literature from WHO, PAHO and the Global Fund was systematically included. Results: The three countries share several common determinants of success: strong and sustained political commitment, robust epidemiological surveillance systems, active community mobilisation and consistent financial support. Strategies were adapted to context: involvement of indigenous communities and cross-border control in the Amazon basin (Suriname), universal coverage and extensive partner support in a postconflict setting (Timor-Leste) and institutional resilience and postelimination vigilance in a context of political transition (Georgia). Conclusion: These experiences demonstrate that malaria elimination is achievable even in resource-limited or fragile contexts, provided interventions are tailored to the local setting and supported by coherent governance. Key lessons for malaria-endemic countries include strengthening community-based surveillance, cross-border cooperation, community education and securing sustainable financing. The risk of reintroduction remains real, and postelimination vigilance is essential.

Indexed as

eliminationepidemiological surveillanceGeorgiaglobal healthmalariapolitical commitmentSurinameTimor-Lesteub-Saharan Africa

Identifiers

PMID42688838
PMCPMC13537102

What OpenQuestion holds

Textmetadata
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Registered trials

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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.