Evidence map›Paper›PMID 27114289›Full record

ArticleThe American journal of tropical medicine and hygiene2016

Individual- and Household-Level Risk Factors Associated with Malaria in Mutasa District, Zimbabwe: A Serial Cross-Sectional Study.

Mufaro Kanyangarara, Edmore Mamini, Sungano Mharakurwa, Shungu Munyati, Lovemore Gwanzura, Tamaki Kobayashi, Timothy Shields, Luke C Mullany, Susan Mutambu, Peter R Mason and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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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

13 authors at 3 institutions in 2 countries.

Mufaro KanyangararaDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland. mkanyan1@jhu.edu.
Edmore MaminiBiomedical Research and Training Institute, Harare, Zimbabwe.
Sungano MharakurwaBiomedical Research and Training Institute, Harare, Zimbabwe.
Shungu MunyatiBiomedical Research and Training Institute, Harare, Zimbabwe.
Lovemore GwanzuraDepartment of Medical Laboratory Sciences, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
Tamaki KobayashiDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
Timothy ShieldsDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
Luke C MullanyDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
Susan MutambuNational Institute of Health Research, Harare, Zimbabwe.
Peter R MasonBiomedical Research and Training Institute, Harare, Zimbabwe.
Frank C CurrieroDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland.
William J Moss
Southern Africa International Centers of Excellence for Malaria Research
Johns Hopkins University · USBiomedical Research and Training Institute · ZWUniversity of Zimbabwe · ZW

Funding

TransmissionU19AI089680 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WILLIAM J MOSS · 2010 to 2026
$25.6M
NIAID NIH HHS U19 AI089680
6 · The paper itself

Abstract

Malaria constitutes a major public health problem in Zimbabwe, particularly in the north and east bordering Zambia and Mozambique. In Manicaland Province in eastern Zimbabwe, malaria transmission is seasonal and unstable. Over the past decade, Manicaland Province has reported increased malaria transmission due to limited funding, drug resistance and insecticide resistance. The aim of this study was to identify risk factors at the individual and household levels to better understand the epidemiology of malaria and guide malaria control strategies in eastern Zimbabwe. Between October 2012 and September 2014, individual demographic data and household characteristics were collected from cross-sectional surveys of 1,116 individuals residing in 316 households in Mutasa District, one of the worst affected districts. Factors associated with malaria, measured by rapid diagnostic test (RDT), were identified through multilevel logistic regression models. A total of 74 participants were RDT positive. Sleeping under a bed net had a protective effect against malaria despite pyrethroid resistance in the mosquito vector. Multivariate analysis showed that malaria risk was higher among individuals younger than 25 years, residing in households located at a lower household density and in closer proximity to the Mozambique border. The risk factors identified need to be considered in targeting malaria control interventions to reduce host-vector interactions.

Indexed as

Family HealthAdolescentAdultChildChild, PreschoolCross-Sectional StudiesFemaleHumansInsecticide ResistanceInsecticidesLogistic ModelsMalariaMaleMultivariate AnalysisPyrethrinsRisk FactorsInsecticidesPyrethrins

Identifiers

PMID27114289
PMCPMC4944677
OpenAlexW2342607526

What OpenQuestion holds

Textmetadata
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.