Evidence map›Paper›PMID 32320389›Full record

ArticlePLoS computational biology2020

Vector bionomics and vectorial capacity as emergent properties of mosquito behaviors and ecology.

Sean L Wu, Héctor M Sánchez C, John M Henry, Daniel T Citron, Qian Zhang, Kelly Compton, Biyonka Liang, Amit Verma, Derek A T Cummings, Arnaud Le Menach and 11 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. iScience · 2024
    Article
  11. Review
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  14. bioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Spatial dynamics of malaria transmission.PLoS computational biology · 2023
    Article
  19. Article
  20. 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

21 authors at 11 institutions in 5 countries.

Sean L WuDivisions of Biostatistics & Epidemiology, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-5781-9493
Héctor M Sánchez CDivisions of Biostatistics & Epidemiology, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0001-7378-8853
John M HenryInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-8684-2003
Daniel T CitronInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-1282-4176
Qian ZhangInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-7313-8594
Kelly ComptonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.
Biyonka LiangDivisions of Biostatistics & Epidemiology, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-5461-7829
Amit VermaEmory University, Atlanta, Georgia, United States of America.ORCID 0000-0002-9342-8350
Derek A T CummingsDepartment of Biology, University of Florida, Gainesville, Florida, United States of America.
Arnaud Le MenachClinton Health Access Initiative, Boston, Massachusetts, United States of America.
Thomas W ScottUniversity of California, Davis, California, United States of America.ORCID 0000-0003-2947-8123
Anne L WilsonLiverpool School of Tropical Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0001-7387-353X
Steven W LindsayDepartment of Biosciences, University of Durham, Durham, United Kingdom.ORCID 0000-0002-3461-9050
Catherine L MoyesBig Data Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8028-4079
Penny A HancockBig Data Institute, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5531-1082
Tanya L RussellAustralian Institute of Tropical Health and Medicine, James Cook University, Cairns, Australia.ORCID 0000-0002-0920-6844
Thomas R BurkotAustralian Institute of Tropical Health and Medicine, James Cook University, Cairns, Australia.ORCID 0000-0002-8994-6729
John M MarshallDivisions of Biostatistics & Epidemiology, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0003-0603-7341
Samson KiwareIfakara Health Institute, Environmental Health and Ecological Sciences Thematic Group, Ifakara, Tanzania.ORCID 0000-0001-7252-520X
Robert C ReinerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-1056-7919
David L SmithInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-4367-3849
University of Washington · USUniversity of California, Berkeley · USAustralian Institute of Tropical Health and Medicine · AUOpen Data Institute · GBClinton Health Access Initiative · USDurham University · GBEmory University · USIfakara Health Institute · TZLiverpool School of Tropical Medicine · GBUniversity of California, Davis · USUniversity of Florida · US

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2010 to 2026
$29.3M
NCEZID CDC HHS U01 CK000510NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

Mosquitoes are important vectors for pathogens that infect humans and other vertebrate animals. Some aspects of adult mosquito behavior and mosquito ecology play an important role in determining the capacity of vector populations to transmit pathogens. Here, we re-examine factors affecting the transmission of pathogens by mosquitoes using a new approach. Unlike most previous models, this framework considers the behavioral states and state transitions of adult mosquitoes through a sequence of activity bouts. We developed a new framework for individual-based simulation models called MBITES (Mosquito Bout-based and Individual-based Transmission Ecology Simulator). In MBITES, it is possible to build models that simulate the behavior and ecology of adult mosquitoes in exquisite detail on complex resource landscapes generated by spatial point processes. We also developed an ordinary differential equation model which is the Kolmogorov forward equations for models developed in MBITES under a specific set of simplifying assumptions. While mosquito infection and pathogen development are one possible part of a mosquito's state, that is not our main focus. Using extensive simulation using some models developed in MBITES, we show that vectorial capacity can be understood as an emergent property of simple behavioral algorithms interacting with complex resource landscapes, and that relative density or sparsity of resources and the need to search can have profound consequences for mosquito populations' capacity to transmit pathogens.

Indexed as

Behavior, AnimalMosquito VectorsAlgorithmsAnimalsComputational BiologyComputer SimulationCulicidaeDisease VectorsEcologyEcosystemFeeding BehaviorFemaleHumansMalariaMaleModels, Theoretical

Identifiers

PMID32320389
PMCPMC7197866
OpenAlexW3016974960

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.