Evidence map›Paper›PMID 24204590›Full record

ArticlePloS one2013

The effects of vector movement and distribution in a mathematical model of dengue transmission.

Dennis L Chao, Ira M Longini, M Elizabeth Halloran

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modeling the Heterogeneity of Dengue Transmission in a City.International journal of environmental research and public health · 2018
    Article
  6. Review
  7. Seroprevalence of Dengue Antibodies in Three Urban Settings in Yucatan, Mexico.The American journal of tropical medicine and hygiene · 2018
    Article
  8. Article
  9. Article
  10. DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics.International journal of environmental research and public health · 2016
    Review
  11. Article
  12. Towards a Hybrid Agent-based Model for Mosquito Borne Disease.Summer Computer Simulation Conference : (SCSC 2014) : 2014 Summer Simulation Multi-Conference : Monterey, California, USA, 6-10 July 2014. Summer Computer Simulation Conference (2014 : Monterey, Calif.) · 2014
    Article
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

3 authors.

Dennis L ChaoCenter for Statistics and Quantitative Infectious Diseases, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Ira M Longini
M Elizabeth Halloran

Funding

Containing Bioterrorist and Emerging Infectious DiseasesU01GM070749 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH, LONGINI, IRA M · 2004 to 2013
$8.3M
NIGMS NIH HHS U01 GM070749NIGMS NIH HHS U01-GM070749
6 · The paper itself

Abstract

backgroundMathematical models have been used to study the dynamics of infectious disease outbreaks and predict the effectiveness of potential mass vaccination campaigns. However, models depend on simplifying assumptions to be tractable, and the consequences of making such assumptions need to be studied. Two assumptions usually incorporated by mathematical models of vector-borne disease transmission is homogeneous mixing among the hosts and vectors and homogeneous distribution of the vectors. METHODOLOGY/PRINCIPAL

findingsWe explored the effects of mosquito movement and distribution in an individual-based model of dengue transmission in which humans and mosquitoes are explicitly represented in a spatial environment. We found that the limited flight range of the vector in the model greatly reduced its ability to transmit dengue among humans. A model that does not assume a limited flight range could yield similar attack rates when transmissibility of dengue was reduced by 39%. A model in which mosquitoes are distributed uniformly across locations behaves similarly to one in which the number of mosquitoes per location is drawn from an exponential distribution with a slightly higher mean number of mosquitoes per location. When the models with different assumptions were calibrated to have similar human infection attack rates, mass vaccination had nearly identical effects. CONCLUSIONS/SIGNIFICANCE: Small changes in assumptions in a mathematical model of dengue transmission can greatly change its behavior, but estimates of the effectiveness of mass dengue vaccination are robust to some simplifying assumptions typically made in mathematical models of vector-borne disease.

Indexed as

CulicidaeDengue VirusInsect VectorsModels, TheoreticalAnimalsDengueHumansIncidenceMass VaccinationPopulation DensityPopulation DynamicsThailand

Identifiers

PMID24204590
PMCPMC3804532

What OpenQuestion holds

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LicenceCC BY
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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.