Evidence map›Paper›PMID 28855386›Full record

ArticleJournal of the Royal Society, Interface2017

Human movement, cooperation and the effectiveness of coordinated vector control strategies.

Chris M Stone, Samantha R Schwab, Dina M Fonseca, Nina H Fefferman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

4 authors at 3 institutions in 1 country.

Chris M StoneIllinois Natural History Survey, University of Illinois at Urbana-Champaign, Champaign, IL, USA cstone@illinois.edu.ORCID 0000-0001-9535-2583
Samantha R SchwabProgram in Ecology and Evolutionary Biology, Rutgers University, New Brunswick, NJ, USA.
Dina M FonsecaCenter for Vector Biology, Rutgers University, New Brunswick, NJ, USA.
Nina H FeffermanDepartment of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USA.
Rutgers, The State University of New Jersey · USUniversity of Illinois Urbana-Champaign · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vector-borne disease transmission is often typified by highly focal transmission and influenced by movement of hosts and vectors across different scales. The ecological and environmental conditions (including those created by humans through vector control programmes) that result in metapopulation dynamics remain poorly understood. The development of control strategies that would most effectively limit outbreaks given such dynamics is particularly urgent given the recent epidemics of dengue, chikungunya and Zika viruses. We developed a stochastic, spatial model of vector-borne disease transmission, allowing for movement of hosts between patches. Our model is applicable to arbovirus transmission by

Indexed as

Disease OutbreaksEcosystemEnvironmental MonitoringModels, BiologicalMosquito VectorsZika Virus InfectionAnimalsHumansAedes aegypticommuting patternslarval controlmetapopulationZika virus

Identifiers

PMID28855386
PMCPMC5582128
OpenAlexW2752422253

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.