Evidence map›Paper›PMID 28061853›Full record

ArticleMalaria journal2017

Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia.

David A Larsen, Tokozile Ngwenya-Kangombe, Sanford Cheelo, Busiku Hamainza, John Miller, Anna Winters, Daniel J Bridges

Abstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

David A LarsenDepartment of Public Health, Food Studies and Nutrition, Syracuse University, 344D White Hall, Syracuse, NY, 13244, USA. dalarsen@syr.edu.ORCID 0000-0002-1876-6536
Tokozile Ngwenya-KangombeAkros, Lusaka, Zambia.
Sanford CheeloAkros, Lusaka, Zambia.
Busiku HamainzaNational Malaria Control Centre, Lusaka, Zambia.
John MillerPATH MACEPA, Lusaka, Zambia.
Anna WintersAkros, Lusaka, Zambia.
Daniel J BridgesAkros, Lusaka, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecreasing malaria transmission leads to increasing heterogeneity with increased risk in both hot spots (locations) and hot pops (certain demographics). In Southern Province, Zambia, reactive case detection has formed a part of malaria surveillance and elimination efforts since 2011. Various factors may be associated with finding malaria infections during case investigations, including the demographics of the incident case and environmental characteristics of the location of the incident case.

methodsCommunity health worker registries were used to determine what factors were associated with finding a malaria infection during reactive case detection.

resultsLocation was a more powerful predictor of finding malaria infections during case investigations than the demographics of the incident case. After accounting for environmental characteristics, no demographics around the incident case were associated with finding malaria infections during case investigations. Various time-invariant measures of the environment, such as median enhanced vegetation index, the topographic position index, the convergence index, and the topographical wetness index, were all associated as expected with increased probability of finding a malaria infection during case investigations.

conclusionsThese results suggest that targeting the locations highly at risk of malaria transmission is of importance in elimination settings.

Indexed as

Disease Transmission, InfectiousEnvironmentEpidemiological MonitoringAdolescentChildChild, PreschoolDemographyFemaleHumansMalariaMaleZambiaEliminationHot spotReactive case detectionSurveillance

Identifiers

PMID28061853
PMCPMC5219724

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Registered trials

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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.