Evidence map›Paper›PMID 34995277›Full record

ArticlePLoS neglected tropical diseases2022

Mapping environmental suitability of Haemagogus and Sabethes spp. mosquitoes to understand sylvatic transmission risk of yellow fever virus in Brazil.

Sabrina L Li, André L Acosta, Sarah C Hill, Oliver J Brady, Marco A B de Almeida, Jader da C Cardoso, Arran Hamlet, Luis F Mucci, Juliana Telles de Deus, Felipe C M Iani and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
9.6field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Distribution of yellow fever vectors in a disease-free area of Northeast Brazil.Revista da Sociedade Brasileira de Medicina Tropical · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Insects · 2024
    Review
  18. Review
  19. Ecological Requirements for Abundance and Dispersion of Brazilian Yellow Fever Vectors in Tropical Areas.International journal of environmental research and public health · 2024
    Article
  20. Review
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

16 authors at 8 institutions in 2 countries.

Sabrina L LiSchool of Geography and the Environment, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-1183-126X
André L AcostaDepartamento de Ecologia, Instituto de Biociências, Laboratório de Ecologia de Paisagens e Conservação-LEPAC, Universidade de São Paulo, São Paulo, Brazil.
Sarah C HillDepartment of Pathobiology and Population Sciences, Royal Veterinary College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-2995-2596
Oliver J BradyCentre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-3235-2129
Marco A B de AlmeidaState Centre of Health Surveillance, Rio Grande do Sul State Health Secretariat, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-9718-2634
Jader da C CardosoState Centre of Health Surveillance, Rio Grande do Sul State Health Secretariat, Rio Grande do Sul, Brazil.
Arran HamletMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-0871-0640
Luis F MucciSuperintendence for Endemic Diseases Control, São Paulo State Health Secretariat, São Paulo, Brazil.
Juliana Telles de DeusSuperintendence for Endemic Diseases Control, São Paulo State Health Secretariat, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-1617-7340
Felipe C M IaniFundação Ezequiel Dias-Lacen/MG, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-3629-8529
Neil S AlexanderEnvironmental Research Group Oxford, c/o Department of Zoology, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0003-1283-4646
G R William WintEnvironmental Research Group Oxford, c/o Department of Zoology, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0003-0916-0847
Oliver G PybusDepartment of Pathobiology and Population Sciences, Royal Veterinary College London, London, United Kingdom.
Moritz U G KraemerDepartment of Zoology, University of Oxford, Oxford, United Kingdom.
Nuno R FariaMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Jane P MessinaSchool of Geography and the Environment, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0001-7829-1272
University of Oxford · GBGoverno do Estado do Rio Grande do Sul · BROxford Research Group · GBRoyal Veterinary College · GBEzequiel Dias Foundation · BRLondon Centre for Neglected Tropical Disease Research · GBLondon School of Hygiene & Tropical Medicine · GBUniversidade de São Paulo · BR

Funding

Medical Research Council MR/R015600/1Medical Research Council MR/S019510/1Medical Research Council MR/V031112/1Wellcome Trust
6 · The paper itself

Abstract

backgroundYellow fever (YF) is an arboviral disease which is endemic to Brazil due to a sylvatic transmission cycle maintained by infected mosquito vectors, non-human primate (NHP) hosts, and humans. Despite the existence of an effective vaccine, recent sporadic YF epidemics have underscored concerns about sylvatic vector surveillance, as very little is known about their spatial distribution. Here, we model and map the environmental suitability of YF's main vectors in Brazil, Haemagogus spp. and Sabethes spp., and use human population and NHP data to identify locations prone to transmission and spillover risk. METHODOLOGY/PRINCIPAL

findingsWe compiled a comprehensive set of occurrence records on Hg. janthinomys, Hg. leucocelaenus, and Sabethes spp. from 1991-2019 using primary and secondary data sources. Linking these data with selected environmental and land-cover variables, we adopted a stacked regression ensemble modelling approach (elastic-net regularized GLM, extreme gradient boosted regression trees, and random forest) to predict the environmental suitability of these species across Brazil at a 1 km x 1 km resolution. We show that while suitability for each species varies spatially, high suitability for all species was predicted in the Southeastern region where recent outbreaks have occurred. By integrating data on NHP host reservoirs and human populations, our risk maps further highlight municipalities within the region that are prone to transmission and spillover. CONCLUSIONS/SIGNIFICANCE: Our maps of sylvatic vector suitability can help elucidate potential locations of sylvatic reservoirs and be used as a tool to help mitigate risk of future YF outbreaks and assist in vector surveillance. Furthermore, at-risk regions identified from our work could help disease control and elucidate gaps in vaccination coverage and NHP host surveillance.

Indexed as

AnimalsBrazilCulicidaeHost-Pathogen InteractionsMosquito VectorsSpecies SpecificityYellow FeverYellow fever virus

Identifiers

PMID34995277
PMCPMC8797211
OpenAlexW4205231073

What OpenQuestion holds

Textmetadata
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.