Evidence map›Paper›PMID 31076660›Full record

ArticleScientific reports2019

Understanding the survival of Zika virus in a vector interconnected sexual contact network.

Tanvir Ferdousi, Lee W Cohnstaedt, D S McVey, Caterina M Scoglio

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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 2 institutions in 1 country.

Tanvir FerdousiDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, 66506, USA. tanvirf@ksu.edu.
Lee W CohnstaedtArthropod-Borne Animal Diseases Research Unit, Center for Grain and Animal Health Research, USDA, Manhattan, KS, 66502, USA.
D S McVeyArthropod-Borne Animal Diseases Research Unit, Center for Grain and Animal Health Research, USDA, Manhattan, KS, 66502, USA.
Caterina M ScoglioDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, 66506, USA.
Center for Grain and Animal Health Research · USKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent outbreaks of the insect-vectored Zika virus have demonstrated its potential to be sexually transmitted, which complicates modeling and our understanding of disease dynamics. Autochthonous outbreaks in the US mainland may be a consequence of both modes of transmission, which affect the outbreak size, duration, and virus persistence. We propose a novel individual-based interconnected network model that incorporates both insect-vectored and sexual transmission of this pathogen. This model interconnects a homogeneous mosquito vector population with a heterogeneous human host contact network. The model incorporates the seasonal variation of mosquito abundance and characterizes host dynamics based on age group and gender in order to produce realistic projections. We use a sexual contact network which is generated on the basis of real world sexual behavior data. Our findings suggest that for a high relative transmissibility of asymptomatic hosts, Zika virus shows a high probability of sustaining in the human population for up to 3 months without the presence of mosquito vectors. Zika outbreaks are strongly affected by the large proportion of asymptomatic individuals and their relative transmissibility. The outbreak size is also affected by the time of the year when the pathogen is introduced. Although sexual transmission has a relatively low contribution in determining the epidemic size, it plays a role in sustaining the epidemic and creating potential endemic scenarios.

Indexed as

AedesAnimalsDisease OutbreaksEpidemicsHumansMosquito VectorsSeasonsSexual BehaviorZika VirusZika Virus Infection

Identifiers

PMID31076660
PMCPMC6510745
OpenAlexW2951713643

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.