Evidence map›Paper›PMID 33001982›Full record

ArticlePLoS neglected tropical diseases2020

Spatial epidemiology of yellow fever: Identification of determinants of the 2016-2018 epidemics and at-risk areas in Brazil.

Benoit de Thoisy, Natalia Ingrid Oliveira Silva, Lívia Sacchetto, Giliane de Souza Trindade, Betânia Paiva Drumond

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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
5.8field-weighted citation impact, top 3% 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, 50 citations in OpenAlex.

  1. Pooled it
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  9. Article
  10. Ecological Requirements for Abundance and Dispersion of Brazilian Yellow Fever Vectors in Tropical Areas.International journal of environmental research and public health · 2024
    Article
  11. Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks.medRxiv : the preprint server for health sciences · 2024
    Article
  12. Article
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  20. Absence of yellow fever virus circulation in wildlife rodents from Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    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

5 authors at 2 institutions in 2 countries.

Benoit de ThoisyLaboratoire des Interactions Virus-Hôtes, Institut Pasteur de la Guyane, Cayenne, French Guiana.ORCID 0000-0002-8420-5112
Natalia Ingrid Oliveira SilvaDepartment of Microbiology, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Lívia SacchettoDepartment of Microbiology, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0001-9716-6899
Giliane de Souza TrindadeDepartment of Microbiology, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Betânia Paiva DrumondDepartment of Microbiology, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Universidade Federal de Minas Gerais · BRInstitut Pasteur de la Guyane · GF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimise control strategies of infectious diseases, identify factors that favour the circulation of pathogens, and propose risk maps are crucial challenges for global health. Ecological niche modelling, once relying on an adequate framework and environmental descriptors can be a helpful tool for such purposes. Despite the existence of a vaccine, yellow fever (YF) is still a public health issue. Brazil faced massive sylvatic YF outbreaks from the end of 2016 up to mid-2018, but cases in human and non-human primates have been recorded until the beginning of 2020. Here we used both human and monkey confirmed YF cases from two epidemic periods (2016/2017 and 2017/2018) to describe the spatial distribution of the cases and explore how biotic and abiotic factors drive their occurrence. The distribution of YF cases largely overlaps for humans and monkeys, and a contraction of the spatial extent associated with a southward displacement is observed during the second period of the epidemics. More contributive variables to the spatiotemporal heterogeneity of cases were related to biotic factors (mammal richness), abiotic factors (temperature and precipitation), and some human-related variables (population density, human footprint, and human vaccination coverage). Both projections of the most favourable conditions showed similar trends with a contraction of the more at-risk areas. Once extrapolated at a large scale, the Amazon basin remains at lower risk, although surrounding forest regions and notably the North-West region, would face a higher risk. Spatial projections of infectious diseases often relied on climatic variables only; here for both models, we instead highlighted the importance of considering local biotic conditions, hosts vulnerability, social and epidemiological factors to run the spatial risk analysis correctly: all YF cases occurring later on, in 2019 and 2020, were observed in the predicted at-risk areas.

Indexed as

EpidemicsBrazilDemographyEcosystemHumansModels, BiologicalRisk FactorsYellow Fever

Identifiers

PMID33001982
PMCPMC7553304
OpenAlexW3089634048

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.