Evidence map›Paper›PMID 35522617›Full record

ArticlePloS one2022

Drivers of long-lasting insecticide-treated net utilisation and parasitaemia among under-five children in 13 States with high malaria burden in Nigeria.

Perpetua Uhomoibhi, Chukwu Okoronkwo, IkeOluwapo O Ajayi, Olugbenga Mokuolu, Ibrahim Maikore, Adeniyi Fagbamigbe, Joshua O Akinyemi, Festus Okoh, Cyril Ademu, Issa Kawu and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 8 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

12 authors at 4 institutions in 2 countries.

Perpetua UhomoibhiNational Malaria Elimination Programme, Federal Ministry of Health, Abuja, Nigeria.
Chukwu OkoronkwoNational Malaria Elimination Programme, Federal Ministry of Health, Abuja, Nigeria.
IkeOluwapo O AjayiDepartment of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Olugbenga MokuoluNational Malaria Elimination Programme, Federal Ministry of Health, Abuja, Nigeria.ORCID 0000-0001-8273-5876
Ibrahim MaikoreWorld Health Organization Country Office, Abuja, Nigeria.
Adeniyi FagbamigbeDepartment of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Joshua O AkinyemiDepartment of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria.ORCID 0000-0002-0675-2110
Festus OkohNational Malaria Elimination Programme, Federal Ministry of Health, Abuja, Nigeria.
Cyril AdemuNational Malaria Elimination Programme, Federal Ministry of Health, Abuja, Nigeria.
Issa KawuNational Malaria Elimination Programme, Federal Ministry of Health, Abuja, Nigeria.
Jo-Angeline KalamboHigh Impact Africa 1 Department, Global Fund to Fight AIDS, TB and Malaria, Geneva, Switzerland.
James SsekitoolekoHigh Impact Africa 1 Department, Global Fund to Fight AIDS, TB and Malaria, Geneva, Switzerland.
Federal Ministry of Health · NGUniversity of Ibadan · NGGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHWorld Health Organization - Nigeria · NG

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundAlthough Nigeria has made some progress in malaria control, there are variations across States. We investigated the factors associated with utilisation of long-lasting insecticide-treated net (LLIN) and parasitaemia among under-five children in 13 States with high malaria burden.

methodData from the 2015 Nigeria Malaria Indicator Survey and 2018 Demographic and Health Survey were obtained and analysed. The 2015 and 2018 data were compared to identify States with increase or reduction in parasitaemia. Analysis was done for all the 13 study States; four States with increased parasitaemia and nine States with reduction. Random-effects logit models were fitted to identify independent predictors of LLIN utilisation and parasitaemia.

resultsLLIN was used by 53.4% of 2844 children, while parasitaemia prevalence was 26.4% in 2018. Grandchildren (AOR = 5.35, CI: 1.09-26.19) were more likely to use LLIN while other relatives (AOR = 0.33, CI: 0.11-0.94) were less likely compared to children of household-heads. LLIN use was more common in children whose mother opined that only weak children could die from malaria (AOR = 1.83, CI: 1.10-3.10). Children whose mothers obtained net from antenatal or immunisation clinics (AOR = 5.30, CI: 2.32-12.14) and campaigns (AOR = 1.77, CI: 1.03-3.04) were also more likely to use LLIN. In contrast, LLIN utilisation was less likely among children in female-headed households (AOR = 0.51, CI: 0.27-0.99) and those in poor-quality houses (AOR = 0.25, CI: 0.09-0.72). Children aged 24-59 months compared to 0-11 months (AOR = 1.78, CI: 1.28-2.48), those in whom fever was reported (AOR = 1.31, CI: 1.06-1.63) and children of uneducated women (AOR = 1.89, CI: 1.32-2.70) were more likely to have parasitaemia. The likelihood of parasitaemia was higher among children from poor households compared to the rich (AOR = 2.06, CI: 1.24-3.42). The odds of parasitaemia were 98% higher among rural children (AOR = 1.98, CI: 1.37-2.87).

conclusionThe key drivers of LLIN utilisation were source of net and socioeconomic characteristics. The latter was also a key factor associated with parasitaemia. These should be targeted as part of integrated malaria elimination efforts.

Indexed as

Insecticide-Treated BednetsMalariaParasitemiaChild, PreschoolCross-Sectional StudiesFemaleHumansMosquito ControlNigeriaPregnancy

Identifiers

PMID35522617
PMCPMC9075637
OpenAlexW4229015468

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.