Evidence map›Paper›PMID 34461902›Full record

ArticleMalaria journal2021

Quantifying malaria acquired during travel and its role in malaria elimination on Bioko Island.

Daniel T Citron, Carlos A Guerra, Guillermo A García, Sean L Wu, Katherine E Battle, Harry S Gibson, David L Smith

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2021. 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
2.0field-weighted citation impact, top 14% of its field
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, 14 citations in OpenAlex.

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  9. Spatial dynamics of malaria transmission.PLoS computational biology · 2023
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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

7 authors at 4 institutions in 2 countries.

Daniel T CitronInstitute for Health Metrics and Evaluation, University of Washington, Population Health Building/Hans Rosling Center, 3980 15th Ave NE, Seattle, WA, 98195, USA. dtcitron@uw.edu.ORCID http://orcid.org/0000-0002-1282-4176
Carlos A GuerraMedical Care Development International, 8401 Colesville Road Suite 425, Silver Spring, MD, 20910, USA.
Guillermo A GarcíaMedical Care Development International, 8401 Colesville Road Suite 425, Silver Spring, MD, 20910, USA.
Sean L WuDivision of Epidemiology and Biostatistics, University of California, 2121 Berkeley Way, Berkeley, CA, 94720, USA.
Katherine E BattleMalaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, 15 Hospital Avenue, WA, 6009, Nedlands, Australia.
Harry S GibsonMalaria Atlas Project, Telethon Kids Institute, Perth Children's Hospital, 15 Hospital Avenue, WA, 6009, Nedlands, Australia.
David L SmithInstitute for Health Metrics and Evaluation, University of Washington, Population Health Building/Hans Rosling Center, 3980 15th Ave NE, Seattle, WA, 98195, USA.
Medical Care Development International · USThe Kids Research Institute Australia · AUUniversity of Washington · USUniversity of California, Berkeley · US

Funding

Bill and Melinda Gates Foundation Grant OPP1110495
6 · The paper itself

Abstract

backgroundMalaria elimination is the goal for Bioko Island, Equatorial Guinea. Intensive interventions implemented since 2004 have reduced prevalence, but progress has stalled in recent years. A challenge for elimination has been malaria infections in residents acquired during travel to mainland Equatorial Guinea. The present article quantifies how off-island contributes to remaining malaria prevalence on Bioko Island, and investigates the potential role of a pre-erythrocytic vaccine in making further progress towards elimination.

methodsMalaria transmission on Bioko Island was simulated using a model calibrated based on data from the Malaria Indicator Surveys (MIS) from 2015 to 2018, including detailed travel histories and malaria positivity by rapid-diagnostic tests (RDTs), as well as geospatial estimates of malaria prevalence. Mosquito population density was adjusted to fit local transmission, conditional on importation rates under current levels of control and within-island mobility. The simulations were then used to evaluate the impact of two pre-erythrocytic vaccine distribution strategies: mass treat and vaccinate, and prophylactic vaccination for off-island travellers. Lastly, a sensitivity analysis was performed through an ensemble of simulations fit to the Bayesian joint posterior probability distribution of the geospatial prevalence estimates.

resultsThe simulations suggest that in Malabo, an urban city containing 80% of the population, there are some pockets of residual transmission, but a large proportion of infections are acquired off-island by travellers to the mainland. Outside of Malabo, prevalence was mainly attributable to local transmission. The uncertainty in the local transmission vs. importation is lowest within Malabo and highest outside. Using a pre-erythrocytic vaccine to protect travellers would have larger benefits than using the vaccine to protect residents of Bioko Island from local transmission. In simulations, mass treatment and vaccination had short-lived benefits, as malaria prevalence returned to current levels as the vaccine's efficacy waned. Prophylactic vaccination of travellers resulted in longer-lasting reductions in prevalence. These projections were robust to underlying uncertainty in prevalence estimates.

conclusionsThe modelled outcomes suggest that the volume of malaria cases imported from the mainland is a partial driver of continued endemic malaria on Bioko Island, and that continued elimination efforts on must account for human travel activity.

Indexed as

TravelCommunicable Disease ControlEquatorial GuineaHumansMalariaPrevalenceHuman mobilityHuman travelMalaria connectivityMalaria importationMathematical modelling

Identifiers

PMID34461902
PMCPMC8404405
OpenAlexW3198357499

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.