Evidence map›Paper›PMID 30300396›Full record

ArticlePloS one2018

Malaria prevention practices and associated environmental risk factors in a rural community in Wakiso district, Uganda.

David Musoke, George Miiro, Rawlance Ndejjo, George Karani, Keith Morris, Simon Kasasa, Jessica Nakiyingi-Miiro, David Guwatudde, Miph Boses Musoke

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 43 citations in OpenAlex.

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  17. Sociodemographic Factors Associated with Malaria Infection among Under-Five Children in Nigeria.Nigerian medical journal : journal of the Nigeria Medical Association
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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 at 4 institutions in 2 countries.

David MusokeDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0000-0003-3262-3918
George MiiroUganda Virus Research Institute, Entebbe, Uganda.
Rawlance NdejjoDepartment of Disease Control and Environmental Health, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
George KaraniCardiff School of Health Sciences, Cardiff Metropolitan University, Cardiff, Wales, United Kingdom.
Keith MorrisCardiff School of Health Sciences, Cardiff Metropolitan University, Cardiff, Wales, United Kingdom.
Simon KasasaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Jessica Nakiyingi-MiiroMedical Research Council, Uganda Virus Research Institute, Entebbe, Uganda.
David GuwatuddeDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Miph Boses MusokeSchool of Sciences, Nkumba University, Entebbe, Uganda.
Makerere University · UGCardiff Metropolitan University · GBUganda Virus Research Institute · UGNkumba University · UG

Funding

Wellcome TrustWellcome Trust 087540
6 · The paper itself

Abstract

backgroundBesides use of insecticide-treated mosquito nets (ITNs) and indoor residual spraying (IRS), other complimentary measures including suitable housing structures, and environmental management that reduce breeding of malaria vectors, can be implemented at households to prevent the disease. However, most studies on malaria prevention have focused mainly on ITNs and IRS. The aim of this study was therefore to assess malaria prevention practices beyond ITNs and IRS, and associated environmental risk factors including housing structure in rural Wakiso district, Uganda.

methodsA clustered cross-sectional survey was conducted among 727 households in Wakiso district. Data were collected using an interviewer-administered questionnaire and observational checklist. The questionnaire assessed participants' household practices on malaria prevention, whereas the checklist recorded environmental risk factors for malaria transmission, and structural condition of houses. Poisson regression modeling was used to identify factors associated with use of mosquito nets by households.

resultsOf the 727 households, 471 (64.8%) owned at least one mosquito net. Use of mosquito nets by households was higher with increasing education level of participants-primary (aPR = 1.27 [95% CI: 1.00-1.60]), secondary (ordinary level) (aPR = 1.47 [95% CI: 1.16-1.85]) and advanced level / tertiary (aPR = 1.55 [95% CI: 1.19-2.01]), and higher household income (aPR = 1.09 [95% CI: 1.00-1.20]). Additionally, participants who were not employed were less likely to have mosquito nets used in their households (aPR = 0.83 [95% CI: 0.70-0.98]). Houses that had undergone IRS in the previous 12 months were 42 (5.8%), while 220 (43.2%) households closed their windows before 6.00 pm. Environmental risk factors found at households included presence of vessels that could potentially hold water for mosquito breeding 414 (56.9%), and stagnant water in compounds 144 (19.8%). Several structural deficiencies on houses that could promote entry of mosquitoes were found such as lack of screening in ventilators 645 (94.7%), and external doors not fitting perfectly into walls hence potential for mosquito entry 305 (42.0%).

conclusionThere is need to increase coverage and utilisation of ITNs and IRS for malaria prevention in Wakiso district, Uganda. In addition, other malaria prevention strategies such as environmental management, and improving structural condition of houses are required to strengthen existing malaria prevention approaches.

Indexed as

HousingMosquito VectorsRural HealthAdultAnimalsAnophelesCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHealth Services Needs and DemandHumansInsecticidesInsecticide-Treated BednetsMalariaMaleMosquito ControlInsecticides

Identifiers

PMID30300396
PMCPMC6177175
OpenAlexW2898001330

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.