Evidence map›Paper›PMID 39674194›Full record

ArticleThe Lancet. Planetary health2024

Dengue virus importation risks in Africa: a modelling study.

Jenicca Poongavanan, José Lourenço, Joseph L-H Tsui, Vittoria Colizza, Yajna Ramphal, Cheryl Baxter, Moritz U G Kraemer, Marcel Dunaiski, Tulio de Oliveira, Houriiyah Tegally

Abstract read
In one paragraph

Article in The Lancet. Planetary health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jenicca PoongavananCentre for Epidemic Response and Innovation, Stellenbosch University, Stellenbosch, South Africa.
José LourençoBiosystems and Integrative Sciences Institute, University of Lisbon, Lisbon, Portugal; Medical School, Biomedical Research Center, Catholic University of Portugal, Lisbon, Portugal.
Joseph L-H TsuiDepartment of Biology and Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Vittoria ColizzaInstitut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, France; Department of Biology, Georgetown University, Washington, DC, USA.
Yajna RamphalCentre for Epidemic Response and Innovation, Stellenbosch University, Stellenbosch, South Africa.
Cheryl BaxterCentre for Epidemic Response and Innovation, Stellenbosch University, Stellenbosch, South Africa.
Moritz U G KraemerDepartment of Biology and Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Marcel DunaiskiDepartment of Mathematical Sciences, Computer Science Division, Stellenbosch University, Stellenbosch, South Africa.
Tulio de OliveiraCentre for Epidemic Response and Innovation, 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, 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
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM AfricaU54TW012041 · FIC · INSTITUTE OF HUMAN VIROLOGY · PI Alash'le G. Abimiku, Tulio de Paiva Nazareth Andrade De Oliveira · 2021 to 2026
$6.9M
FIC NIH HHS U54 TW012041NIAID NIH HHS U01 AI151698Wellcome Trust
6 · The paper itself

Abstract

backgroundDengue is a significant global public health concern that poses a threat in Africa. Particularly, African countries are at risk of viral introductions through air travel connectivity with areas of South America and Asia in which explosive dengue outbreaks frequently occur. Limited reporting and diagnostic capacity hinder a comprehensive assessment of continent-wide transmission dynamics and deployment of surveillance strategies in Africa. In this study, we aimed to identify African airports at high risk of receiving passengers with dengue from Asia, Latin America, and other African countries with high dengue incidence.

methodsFor this modelling study, air travel flow data were obtained from the International Air Transport Association database for 2019. Data comprised monthly passenger volumes from 14 high-incidence countries outside of Africa and 18 countries within the African continent that reported dengue outbreaks in the past 10 years to 54 African countries, encompassing all 197 commercial airports in both the source and destination regions. The risk of dengue introduction into Africa from countries of high incidence in Asia, Latin America, and within Africa was estimated based on origin-destination air travel flows and epidemic activity at origin. We produced a novel proxy for local dengue epidemic activity using a composite index of theoretical climate-driven transmission suitability and population density, which we used, in addition to travel information in a risk flow model, to estimate importation risk.

findingsCountries in eastern Africa had a high estimated risk of dengue importation from Asia and other east African countries, whereas for west African countries, the risk of importation was higher from within the region than from countries outside of Africa. Some countries with high risk of importation had low local transmission suitability, which is likely to hamper the risk that dengue importations would lead to local transmission and establishment of a dengue outbreak. Mauritius, Uganda, Côte d'Ivoire, Senegal, and Kenya were identified as countries susceptible to dengue introductions during periods of persistent transmission suitability.

interpretationOur study improves data-driven allocation of surveillance resources, in regions of Africa that are at high risk of dengue introduction and establishment, including from regional circulation. Improvements in resource allocation will be crucial in detecting and managing imported cases and could improve local responses to dengue outbreaks.

fundingRockefeller Foundation, National Institute of Health, EDCTP3 and Horizon Europe Research and Innovation, World Bank Group, Medical Research Foundation, Wellcome Trust, Google, Oxford Martin School Pandemic Genomics programme, and John Fell Fund.

Indexed as

DengueDengue VirusAfricaAirportsAir TravelAsiaCommunicable Diseases, ImportedDisease OutbreaksHumansIncidenceModels, Theoretical

Identifiers

PMID39674194
PMCPMC11649930

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.