Evidence map›Paper›PMID 36859263›Full record

ArticleMalaria journal2023

Identifying individual, household and environmental risk factors for malaria infection on Bioko Island to inform interventions.

Guillermo A García, Mark Janko, Dianna E B Hergott, Olivier T Donfack, Jordan M Smith, Jeremías Nzamío Mba Eyono, Kylie R DeBoer, Restituto Mba Nguema Avue, Wonder P Phiri, Edward M Aldrich and 8 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

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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

18 authors at 8 institutions in 6 countries.

Guillermo A GarcíaMCD Global Health, Silver Spring, MD, USA. ggarcia@mcd.org.
Mark JankoDuke Global Health Institute, Duke University, Durham, NC, USA.
Dianna E B HergottDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Olivier T DonfackMCD Global Health, Bioko Island, Malabo, Equatorial Guinea.
Jordan M SmithMCD Global Health, Silver Spring, MD, USA.
Jeremías Nzamío Mba EyonoMCD Global Health, Bioko Island, Malabo, Equatorial Guinea.
Kylie R DeBoerMCD Global Health, Silver Spring, MD, USA.
Restituto Mba Nguema AvueMCD Global Health, Bioko Island, Malabo, Equatorial Guinea.
Wonder P PhiriMCD Global Health, Bioko Island, Malabo, Equatorial Guinea.
Edward M AldrichMCD Global Health, Hallowell, ME, USA.
Christopher SchwabeMCD Global Health, Hallowell, ME, USA.
Thomas C StablerDepartment of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.
Matilde Riloha RivasEquatorial Guinea Ministry of Health and Social Welfare, Bioko Island, Malabo, Equatorial Guinea.
Ewan CameronTelethon Kids Institute, Perth Children's Hospital, Perth, Australia.
Carlos A GuerraMCD Global Health, Silver Spring, MD, USA.
Jackie CookMRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Immo KleinschmidtMRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
John BradleyMRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
National University of Equatorial Guinea · GQMedical Care Development International · USLondon School of Hygiene & Tropical Medicine · GBDuke University · USPrincess Margaret Hospital for Children · AUUniversity of Basel · CHUniversity of the Witwatersrand · ZAUniversity of Washington · US

Funding

Medical Research Council #MR/R010161/1Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundSince 2004, malaria transmission on Bioko Island has declined significantly as a result of the scaling-up of control interventions. The aim of eliminating malaria from the Island remains elusive, however, underscoring the need to adapt control to the local context. Understanding the factors driving the risk of malaria infection is critical to inform optimal suits of interventions in this adaptive approach.

methodsThis study used individual and household-level data from the 2015 and 2018 annual malaria indicator surveys on Bioko Island, as well as remotely-sensed environmental data in multilevel logistic regression models to quantify the odds of malaria infection. The analyses were stratified by urban and rural settings and by survey year.

resultsMalaria prevalence was higher in 10-14-year-old children and similar between female and male individuals. After adjusting for demographic factors and other covariates, many of the variables investigated showed no significant association with malaria infection. The factor most strongly associated was history of travel to mainland Equatorial Guinea (mEG), which increased the odds significantly both in urban and rural settings (people who travelled had 4 times the odds of infection). Sleeping under a long-lasting insecticidal net decreased significantly the odds of malaria across urban and rural settings and survey years (net users had around 30% less odds of infection), highlighting their contribution to malaria control on the Island. Improved housing conditions indicated some protection, though this was not consistent across settings and survey year.

conclusionsMalaria risk on Bioko Island is heterogeneous and determined by a combination of factors interacting with local mosquito ecology. These interactions grant further investigation in order to better adapt control according to need. The single most important risk factor identified was travel to mEG, in line with previous investigations, and represents a great challenge for the success of malaria control on the Island.

Indexed as

CulicidaeMalariaAdolescentAnimalsChildEcologyEquatorial GuineaFemaleHumansMaleRisk FactorsImportationMalariaRisk factorsTargeted interventionsVector control

Identifiers

PMID36859263
PMCPMC9979414
OpenAlexW4322726701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.