Evidence map›Paper›PMID 25413016›Full record

Observational studyMalaria journal2014

The independent effect of living in malaria hotspots on future malaria infection: an observational study from Misungwi, Tanzania.

Jacklin F Mosha, Hugh J W Sturrock, Joelle M Brown, Ramadhani Hashim, Gibson Kibiki, Daniel Chandramohan, Roland D Gosling

Abstract readObservational Study
In one paragraph

Observational study in Malaria journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Impact of long-lasting insecticidal nets on prevalence of subclinical malaria among children in the presence of pyrethroid resistance in Anopheles culicifacies in Central India.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2017
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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.

Jacklin F MoshaNational Institute for Medical Research (NIMR), Mwanza Medical Research Centre, Mwanza, Tanzania. jfmosha@yahoo.com.
Hugh J W Sturrock
Joelle M Brown
Ramadhani Hashim
Gibson Kibiki
Daniel Chandramohan
Roland D Gosling

Funding

Wellcome Trust WT084289MA
6 · The paper itself

Abstract

backgroundAs malaria transmission declines, continued improvements of prevention and control interventions will increasingly rely on accurate knowledge of risk factors and an ability to define high-risk areas and populations at risk for focal targeting of interventions. This paper explores the independent association between living in a hotspot and prospective risk of malaria infection.

methodsMalaria infection status defined by nPCR and AMA-1 status in year 1 were used to define geographic hotspots using two geospatial statistical methods (SaTScan and Kernel density smoothing). Other malaria risk factors for malaria infection were explored by fitting a multivariable model.

resultsThis study demonstrated that residing in infection hotspot of malaria transmission is an independent predictor of malaria infection in the future.

conclusionIt is likely that targeting such hotspots with better coverage and improved malaria control strategies will result in more cost-efficient uses of resources to move towards malaria elimination.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleGeographyHumansInfantMalariaMaleMiddle AgedRisk FactorsTanzania

Identifiers

PMID25413016
PMCPMC4255924

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.