Evidence map›Paper›PMID 28910292›Full record

ArticlePLoS neglected tropical diseases2017

Host outdoor exposure variability affects the transmission and spread of Zika virus: Insights for epidemic control.

Marco Ajelli, Imelda K Moise, Tricia Caroline S G Hutchings, Scott C Brown, Naresh Kumar, Neil F Johnson, John C Beier

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 1 synthesis or guideline 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.

Marco AjelliLaboratory for the Modeling of Biological and Socio-technical Systems, Network Science Institute, Northeastern University, Boston, MA, United States of America.
Imelda K MoiseDepartment of Geography and Regional Studies, College of Arts and Sciences, University of Miami, Coral Gables, FL, United States of America.
Tricia Caroline S G HutchingsDepartment of Geography and Regional Studies, College of Arts and Sciences, University of Miami, Coral Gables, FL, United States of America.
Scott C BrownDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America.
Naresh KumarDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America.
Neil F JohnsonDepartment of Physics, College of Arts and Sciences, University of Miami, Coral Gables, FL, United States of America.
John C BeierDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America.

Funding

Miami Clinical and Translational Science InstituteUL1TR000460 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SACCO, RALPH L. · 2012 to 2016
$16.9M
ACL HHS U01CK000510NCATS NIH HHS UL1 TR000460NCEZID CDC HHS U01 CK000510
6 · The paper itself

Abstract

backgroundZika virus transmission dynamics in urban environments follow a complex spatiotemporal pattern that appears unpredictable and barely related to high mosquito density areas. In this context, human activity patterns likely have a major role in Zika transmission dynamics. This paper examines the effect of host variability in the amount of time spent outdoors on Zika epidemiology in an urban environment. METHODOLOGY/PRINCIPAL

findingsFirst, we performed a survey on time spent outdoors by residents of Miami-Dade County, Florida. Second, we analyzed both the survey and previously published national data on outdoors time in the U.S. to provide estimates of the distribution of the time spent outdoors. Third, we performed a computational modeling evaluation of Zika transmission dynamics, based on the time spent outdoors by each person. Our analysis reveals a strong heterogeneity of the host population in terms of time spent outdoors-data are well captured by skewed gamma distributions. Our model-based evaluation shows that in a heterogeneous population, Zika would cause a lower number of infections than in a more homogenous host population (up to 4-fold differences), but, at the same time, the epidemic would spread much faster. We estimated that in highly heterogeneous host populations the timing of the implementation of vector control measures is the major factor for limiting the number of Zika infections. CONCLUSIONS/SIGNIFICANCE: Our findings highlight the need of considering host variability in exposure time for managing mosquito-borne infections and call for the revision of the triggers for vector control strategies, which should integrate mosquito density data and human outdoor activity patterns in specific areas.

Indexed as

Computer SimulationEnvironmental ExposureAdolescentAdultAedesAgedAged, 80 and overAnimalsEpidemicsFemaleFloridaHumansMaleMiddle AgedSpatio-Temporal AnalysisSurveys and Questionnaires

Identifiers

PMID28910292
PMCPMC5598931

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.