Evidence map›Paper›PMID 40865891›Full record

SynthesisTravel medicine and infectious disease

A decade of dengue disease burden in Africa (2013-2023): a systematic review.

Gaspary O Mwanyika, Monika Moir, Abdualmoniem O Musa, Jenicca Poongavanan, Graeme Dor, Eduan Wilkinson, Cheryl Baxter, Tulio de Oliveira, Houriiyah Tegally

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Travel medicine and infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Gaspary O MwanyikaCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa; Department of Applied Sciences, Mbeya University of Science and Technology, Mbeya, Tanzania.
Monika MoirCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Abdualmoniem O MusaKassala University & Ministry of Health, Kassala State, Sudan.
Jenicca PoongavananCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Graeme DorCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Eduan WilkinsonCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Cheryl BaxterCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Tulio de OliveiraCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa; KwaZulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu- Natal, Durban, South Africa.
Houriiyah TegallyCentre for Epidemic Response and Innovation (CERI), School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa. Electronic address: houriiyah@sun.ac.za.

Funding

University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
Gates Foundation 101103171MRF_ MRF-RG-ICCH-2022-100069NIAID NIH HHS U01 AI151698Wellcome Trust 228186
6 · The paper itself

Abstract

backgroundDengue is a major mosquito-borne disease worldwide. The epidemiological trends of the disease in Africa over the past decade remain unclear. This review aims to provide insight into the epidemiological trends of dengue in Africa from 2013 to 2023.

methodsWe systematically searched PubMed/MEDLINE and Scopus for studies published between January 2013 and December 2023. Additionally, we collected official records from the World Health Organization for Africa and African Centre for Disease Control. We included studies that reported dengue cases in humans in Africa and excluded publications prior to 2013, review articles and non-human studies. For specific countries, the suspected cases per 100,000 population and fatality rates were estimated and the trend predicted using a negative binomial model. The statistical analyses and visualisations were performed using R programming.

resultsOf the 453 reports screened, 87 from 25 African countries were selected for systematic review. Of which 55.2 % (48/87) were indicator-based, 40.2 % (35/87) research and 4.6 % (4/87) event-based reports. Between 2013 and 2023, approximately 200,000 suspected dengue cases, 90,000 confirmed cases and 900 deaths were reported in Africa. Over 80 % of confirmed cases originated from West Africa, with Burkina Faso reporting over 500 cases per 100,000 population. DENV1 and DENV2 predominated at different times with transmission closely linked to rainy seasons.

conclusionsThe rising dengue cases across Africa, highlight the need to strengthen surveillance and implement effective regional-specific interventions against future dengue outbreaks. Further research is necessary to improve our understanding on dengue transmission dynamics and suitability of regions in Africa.

Indexed as

DengueAfricaCost of IllnessDengue VirusHumansAfricaDengueDisease burdenSystematic review

Identifiers

PMID40865891
PMCPMC7618809

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.