Evidence map›Paper›PMID 42165908›Full record

ArticleBulletin of mathematical biology2026

Modeling the effects of vector species composition and temperature on the risk of dengue virus.

Suzanne L Robertson, Rebeca de Jesús Crespo, Emma Beck, Lauren Beuerle, Patt Martin, Regan Stambaugh, Michael A Robert

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Suzanne L RobertsonDepartment of Mathematics and Applied Mathematics, Virginia Commonwealth University, Richmond, VA, USA. srobertson7@vcu.edu.ORCID http://orcid.org/0000-0003-2551-0712
Rebeca de Jesús CrespoDepartment of Environmental Sciences, Louisiana State University, Baton Rouge, LA, USA.
Emma BeckDepartment of Mathematics, University of Washington, Seattle, WA, USA.
Lauren BeuerleDepartment of Mathematics and Statistics, Elon University, Elon, NC, USA.
Patt MartinDepartment of Mathematics, University of North Carolina Asheville, Asheville, NC, USA.
Regan StambaughDepartment of Mathematics and Statistics, Grinnell College, Grinnell, IA, USA.
Michael A RobertDepartment of Mathematics, Virginia Tech, Blacksburg, VA, USA.

Funding

National Science Foundation DMS1950015
6 · The paper itself

Abstract

The risk of vector-borne disease is highly dependent on the local community composition of hosts and vectors, as well as the means by which disease is introduced into a susceptible population. The mosquito species Aedes aegypti and Aedes albopictus are both vectors of dengue virus, but differ in their biting preferences and ability to transmit the disease. The two species compete for habitat at the larval stage and their spatial distributions are highly heterogeneous, due in part to variability in factors such as temperature and resource quality affecting the outcome of competition and the resulting abundance of each species. In addition to affecting vector population dynamics, temperature also strongly affects multiple aspects of the disease transmission process. We present the basic reproduction number

Indexed as

AedesDengueDengue VirusModels, BiologicalMosquito VectorsAnimalsBasic Reproduction NumberHumansMarkov ChainsMathematical ConceptsPopulation DynamicsStochastic ProcessesTemperatureStochastic epidemic model · Continuous-time Markov chain · Multitype branching process · Vector-borne disease · Aedes aegypti · Aedes albopictus

Identifiers

PMID42165908
PMCPMC13194221

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.