Evidence map›Paper›PMID 38806460›Full record

ArticleNature communications2024

Human movement and environmental barriers shape the emergence of dengue.

Vinyas Harish, Felipe J Colón-González, Filipe R R Moreira, Rory Gibb, Moritz U G Kraemer, Megan Davis, Robert C Reiner, David M Pigott, T Alex Perkins, Daniel J Weiss and 11 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Dengue virus infection.Nature reviews. Disease primers · 2026
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  14. First molecular evidence ofCurrent research in parasitology & vector-borne diseases · 2026
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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

21 authors.

Vinyas HarishTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-6364-2439
Felipe J Colón-GonzálezCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-9671-3405
Filipe R R MoreiraMedical Research Council Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics and Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Rory GibbCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Moritz U G KraemerDepartment of Biology, University of Oxford, Oxford, UK.
Megan DavisBlueDot, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-3064-6705
Robert C ReinerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1056-7919
David M PigottInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6731-4034
T Alex PerkinsDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.ORCID http://orcid.org/0000-0002-7518-4014
Daniel J WeissGeospatial Health and Development, Telethon Kids Institute, Nedlands, WA, Australia.ORCID http://orcid.org/0000-0002-6175-5648
Isaac I BogochTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Gonzalo Vazquez-ProkopecDepartment of Environmental Sciences, Emory University, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-0710-270X
Pablo Manrique SaideAutonomous University of Yucatan, Merida, YUC, Mexico.
Gerson L BarbosaPasteur Institute, State Secretary of Health of São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-5624-2354
Ester C SabinoInstitute of Tropical Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Kamran KhanTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Nuno R FariaDepartamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-8839-2798
Simon I HayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0611-7272
Fabián Correa-MoralesCentro Nacional de Programas Preventivos y Control de Enfermedades (CENAPRECE) Secretaria de Salud Mexico, Ciudad de Mexico, Mexico.ORCID http://orcid.org/0000-0002-6193-1242
Francisco Chiaravalloti-NetoDepartment of Epidemiology, School of Public Health, University of São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-2686-8740
Oliver J BradyCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK. oliver.brady@lshtm.ac.uk.ORCID http://orcid.org/0000-0002-3235-2129

Funding

Medical Research Council MR/V031112/1
6 · The paper itself

Abstract

Understanding how emerging infectious diseases spread within and between countries is essential to contain future pandemics. Spread to new areas requires connectivity between one or more sources and a suitable local environment, but how these two factors interact at different stages of disease emergence remains largely unknown. Further, no analytical framework exists to examine their roles. Here we develop a dynamic modelling approach for infectious diseases that explicitly models both connectivity via human movement and environmental suitability interactions. We apply it to better understand recently observed (1995-2019) patterns as well as predict past unobserved (1983-2000) and future (2020-2039) spread of dengue in Mexico and Brazil. We find that these models can accurately reconstruct long-term spread pathways, determine historical origins, and identify specific routes of invasion. We find early dengue invasion is more heavily influenced by environmental factors, resulting in patchy non-contiguous spread, while short and long-distance connectivity becomes more important in later stages. Our results have immediate practical applications for forecasting and containing the spread of dengue and emergence of new serotypes. Given current and future trends in human mobility, climate, and zoonotic spillover, understanding the interplay between connectivity and environmental suitability will be increasingly necessary to contain emerging and re-emerging pathogens.

Indexed as

DengueAedesAnimalsBrazilCommunicable Diseases, EmergingDengue VirusEnvironmentHuman MigrationHumansMexico

Identifiers

PMID38806460
PMCPMC11133396

What OpenQuestion holds

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LicenceCC BY
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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.