Evidence map›Paper›PMID 24480314›Full record

ReviewAdvances in parasitology2014

Measuring changes in Plasmodium falciparum transmission: precision, accuracy and costs of metrics.

Lucy S Tusting, Teun Bousema, David L Smith, Chris Drakeley

Abstract readReview
In one paragraph

Review in Advances in parasitology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing 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

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

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78 more citing papers are in PubMed but not listed here.

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

4 authors.

Lucy S TustingDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Teun BousemaDepartment of Infection and Immunity, London School of Hygiene and Tropical Medicine, London, United Kingdom; Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
David L SmithDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Fogarty International Center, NIH, Bethesda, Maryland, USA. Electronic address: dlsmith@jhsph.edu.
Chris DrakeleyDepartment of Infection and Immunity, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SAMUEL LUBWAMA NSOBYA · 2010 to 2026
$29.3M
CLINICAL AND MOLECULAR STUDIES OF DRUG-RESISTANT MALARIAK01TW000007 · FIC · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI DORSEY, MATTHEW G · 1999 to 2005
$513k
FIC NIH HHS K01 TW000007NIAID NIH HHS U19 AI089674Wellcome Trust 091924
6 · The paper itself

Abstract

As malaria declines in parts of Africa and elsewhere, and as more countries move towards elimination, it is necessary to robustly evaluate the effect of interventions and control programmes on malaria transmission. To help guide the appropriate design of trials to evaluate transmission-reducing interventions, we review 11 metrics of malaria transmission, discussing their accuracy, precision, collection methods and costs and presenting an overall critique. We also review the nonlinear scaling relationships between five metrics of malaria transmission: the entomological inoculation rate, force of infection, sporozoite rate, parasite rate and the basic reproductive number, R0. Our chapter highlights that while the entomological inoculation rate is widely considered the gold standard metric of malaria transmission and may be necessary for measuring changes in transmission in highly endemic areas, it has limited precision and accuracy and more standardised methods for its collection are required. In areas of low transmission, parasite rate, seroconversion rates and molecular metrics including MOI and mFOI may be most appropriate. When assessing a specific intervention, the most relevant effects will be detected by examining the metrics most directly affected by that intervention. Future work should aim to better quantify the precision and accuracy of malaria metrics and to improve methods for their collection.

Indexed as

AnimalsCulicidaeHumansMalaria, FalciparumPlasmodium falciparumReproducibility of ResultsEliminationEndemicityMalariaMetricPlasmodiumTransmissionVector

Identifiers

PMID24480314
PMCPMC4847140

What OpenQuestion holds

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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.