Evidence map›Paper›PMID 37607188›Full record

ArticlePLoS biology2023

Metapopulation dynamics of SARS-CoV-2 transmission in a small-scale Amazonian society.

Thomas S Kraft, Edmond Seabright, Sarah Alami, Samuel M Jenness, Paul Hooper, Bret Beheim, Helen Davis, Daniel K Cummings, Daniel Eid Rodriguez, Maguin Gutierrez Cayuba and 8 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. How market integration impacts human disease ecology.Evolution, medicine, and public health · 2024
    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

18 authors at 10 institutions in 5 countries.

Thomas S KraftDepartment of Anthropology, University of Utah, Salt Lake City, Utah, United States of America.ORCID 0000-0002-0634-9233
Edmond SeabrightSchool of Collective Intelligence, Mohammed VI Polytechnic University, Rabat, Morocco.
Sarah AlamiDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, California, United States of America.
Samuel M JennessDepartment of Epidemiology, Emory University, Atlanta, Georgia, United States of America.
Paul HooperDepartment of Health Economics and Anthropology, Economic Science Institute, Argyros School of Business and Economics, Chapman University, Orange, California, United States of America.
Bret BeheimDepartment of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Helen DavisDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Daniel K CummingsDepartment of Health Economics and Anthropology, Economic Science Institute, Argyros School of Business and Economics, Chapman University, Orange, California, United States of America.
Daniel Eid RodriguezUniversidad Mayor de San Simon, Cochabamba, Bolivia.
Maguin Gutierrez CayubaTsimane Gran Consejo, San Borja, Bolivia.
Emily MinerDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, California, United States of America.
Xavier de LamballerieUnité des Virus Émergents (UVE: Aix-Marseille Univ-IRD 190 -Inserm 1207 -IHU Méditerranée Infection), Marseille, France.
Lucia InchausteUnité des Virus Émergents (UVE: Aix-Marseille Univ-IRD 190 -Inserm 1207 -IHU Méditerranée Infection), Marseille, France.
Stéphane PrietUnité des Virus Émergents (UVE: Aix-Marseille Univ-IRD 190 -Inserm 1207 -IHU Méditerranée Infection), Marseille, France.
Benjamin C TrumbleSchool of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America.
Jonathan StieglitzInstitute for Advanced Study in Toulouse, Toulouse, France.
Hillard KaplanDepartment of Health Economics and Anthropology, Economic Science Institute, Argyros School of Business and Economics, Chapman University, Orange, California, United States of America.
Michael D GurvenDepartment of Anthropology, University of California Santa Barbara, Santa Barbara, California, United States of America.
University of California, Santa Barbara · USChapman University · USInserm · FRArizona State University · USEmory University · USHarvard University · USInstitute for Advanced Study in Toulouse · FRMax Planck Institute for Evolutionary Anthropology · DEUniversidad Mayor de San Simón · BOUniversity of New Mexico · US

Funding

Testing Hypothesized Pathways Linking Infection, Physical Activity, Apoe Genotype, And Biological Sex To Low Dementia Prevalence And Reduced Brain Atrophy In Two Native American PopulationsR01AG054442 · NIA · CHAPMAN UNIVERSITY · PI CALEB E FINCH, Margaret Gatz · 2022 to 2026
$15.2M
Brain atrophy, cognitive impairment and Alzheimer's in low CVD-risk populationRF1AG054442 · NIA · UNIVERSITY OF NEW MEXICO · PI FINCH, CALEB E, GURVEN, MICHAEL DOUGLAS · 2017 to 2020
$8.8M
EpiModel 2.0: Integrated Network Models for HIV/STI Prevention ScienceR01AI138783 · NIAID · EMORY UNIVERSITY · PI JENNESS, SAMUEL · 2018 to 2021
$3.0M
NIAID NIH HHS R01 AI138783NIA NIH HHS R01 AG054442NIA NIH HHS RF1 AG054442
6 · The paper itself

Abstract

The severity of infectious disease outbreaks is governed by patterns of human contact, which vary by geography, social organization, mobility, access to technology and healthcare, economic development, and culture. Whereas globalized societies and urban centers exhibit characteristics that can heighten vulnerability to pandemics, small-scale subsistence societies occupying remote, rural areas may be buffered. Accordingly, voluntary collective isolation has been proposed as one strategy to mitigate the impacts of COVID-19 and other pandemics on small-scale Indigenous populations with minimal access to healthcare infrastructure. To assess the vulnerability of such populations and the viability of interventions such as voluntary collective isolation, we simulate and analyze the dynamics of SARS-CoV-2 infection among Amazonian forager-horticulturalists in Bolivia using a stochastic network metapopulation model parameterized with high-resolution empirical data on population structure, mobility, and contact networks. Our model suggests that relative isolation offers little protection at the population level (expected approximately 80% cumulative incidence), and more remote communities are not conferred protection via greater distance from outside sources of infection, due to common features of small-scale societies that promote rapid disease transmission such as high rates of travel and dense social networks. Neighborhood density, central household location in villages, and household size greatly increase the individual risk of infection. Simulated interventions further demonstrate that without implausibly high levels of centralized control, collective isolation is unlikely to be effective, especially if it is difficult to restrict visitation between communities as well as travel to outside areas. Finally, comparison of model results to empirical COVID-19 outcomes measured via seroassay suggest that our theoretical model is successful at predicting outbreak severity at both the population and community levels. Taken together, these findings suggest that the social organization and relative isolation from urban centers of many rural Indigenous communities offer little protection from pandemics and that standard control measures, including vaccination, are required to counteract effects of tight-knit social structures characteristic of small-scale populations.

Indexed as

COVID-19SARS-CoV-2Disease OutbreaksGeographyHumansIndigenous Peoples

Identifiers

PMID37607188
PMCPMC10443873
OpenAlexW4386051402

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.