Evidence map›Paper›PMID 33465065›Full record

ArticlePLoS computational biology2021

Disease-driven reduction in human mobility influences human-mosquito contacts and dengue transmission dynamics.

Kathryn L Schaber, T Alex Perkins, Alun L Lloyd, Lance A Waller, Uriel Kitron, Valerie A Paz-Soldan, John P Elder, Alan L Rothman, David J Civitello, William H Elson and 3 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
    Article
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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

13 authors.

Kathryn L SchaberProgram of Population Biology, Ecology and Evolution, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0002-6669-9534
T Alex PerkinsDepartment of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, Notre Dame, Indiana, United States of America.
Alun L LloydBiomathematics Graduate Program and Department of Mathematics, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0002-6389-6321
Lance A WallerDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0001-5002-8886
Uriel KitronDepartment of Environmental Sciences, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0003-0493-2043
Valerie A Paz-SoldanDepartment of Global Community Health and Behavioral Sciences, Tulane School of Public Health and Tropical Medicine, New Orleans, Louisiana, United States of America.ORCID 0000-0002-1065-4919
John P ElderGraduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Alan L RothmanInstitute for Immunology and Informatics and Department of Cell and Molecular Biology, University of Rhode Island, Providence, Rhode Island, United States of America.ORCID 0000-0002-4064-6848
David J CivitelloDepartment of Biology, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0001-8394-6288
William H ElsonDepartment of Entomology and Nematology, University of California Davis, Davis, California, United States of America.ORCID 0000-0002-8630-1378
Amy C MorrisonDepartment of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, California, United States of America.ORCID 0000-0001-6224-5984
Thomas W ScottDepartment of Entomology and Nematology, University of California Davis, Davis, California, United States of America.ORCID 0000-0003-2947-8123
Gonzalo M Vazquez-ProkopecProgram of Population Biology, Ecology and Evolution, Emory University, Atlanta, Georgia, United States of America.

Funding

Surveillance Core (B)P01AI098670 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MORRISON, AMY CELESTE · 2014 to 2018
$7.9M
NIAID NIH HHS P01 AI098670
6 · The paper itself

Abstract

Heterogeneous exposure to mosquitoes determines an individual's contribution to vector-borne pathogen transmission. Particularly for dengue virus (DENV), there is a major difficulty in quantifying human-vector contacts due to the unknown coupled effect of key heterogeneities. To test the hypothesis that the reduction of human out-of-home mobility due to dengue illness will significantly influence population-level dynamics and the structure of DENV transmission chains, we extended an existing modeling framework to include social structure, disease-driven mobility reductions, and heterogeneous transmissibility from different infectious groups. Compared to a baseline model, naïve to human pre-symptomatic infectiousness and disease-driven mobility changes, a model including both parameters predicted an increase of 37% in the probability of a DENV outbreak occurring; a model including mobility change alone predicted a 15.5% increase compared to the baseline model. At the individual level, models including mobility change led to a reduction of the importance of out-of-home onward transmission (R, the fraction of secondary cases predicted to be generated by an individual) by symptomatic individuals (up to -62%) at the expense of an increase in the relevance of their home (up to +40%). An individual's positive contribution to R could be predicted by a GAM including a non-linear interaction between an individual's biting suitability and the number of mosquitoes in their home (>10 mosquitoes and 0.6 individual attractiveness significantly increased R). We conclude that the complex fabric of social relationships and differential behavioral response to dengue illness cause the fraction of symptomatic DENV infections to concentrate transmission in specific locations, whereas asymptomatic carriers (including individuals in their pre-symptomatic period) move the virus throughout the landscape. Our findings point to the difficulty of focusing vector control interventions reactively on the home of symptomatic individuals, as this approach will fail to contain virus propagation by visitors to their house and asymptomatic carriers.

Indexed as

Mosquito VectorsAnimalsComputational BiologyDengueDengue VirusDisease OutbreaksFemaleHumansModels, StatisticalPopulation Dynamics

Identifiers

PMID33465065
PMCPMC7845972

What OpenQuestion holds

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Registered trials

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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.