ArticleNature communications2021
Seasonality of agricultural exposure as an important predictor of seasonal yellow fever spillover in Brazil.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk.BMC infectious diseases · 2023Pooled it
- Climate change and the rising threat of vector-borne diseases in the Andes.One health (Amsterdam, Netherlands) · 2026Review
- Evolution and spillover dynamics of yellow fever at the forest-urban interface in Brazil.Nature microbiology · 2026Article
- Entomo-virological investigation during the epizootic outbreak of sylvatic yellow fever in Rio Grande do Sul, Brazil, between 2021 and 2022Memorias do Instituto Oswaldo Cruz · 2026Article
- [Sociodemographic factors associated with yellow fever mortality in Colombia, 2024-2026Fatores sociodemográficos associados à letalidade por febre amarela na Colômbia, 2024-2026].Revista panamericana de salud publica = Pan American journal of public health · 2026Article
- Climate sensitivity is widely but unevenly spread across zoonotic diseases.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The Importance of Studying Infectious and Parasitic Diseases of Wild Animals in the Amazon Biome with a Focus on One Health.Veterinary sciences · 2025Review
- Ecological Requirements for Abundance and Dispersion of Brazilian Yellow Fever Vectors in Tropical Areas.International journal of environmental research and public health · 2024Article
- Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks.medRxiv : the preprint server for health sciences · 2024Article
- Yellow fever in Ghana: Predicting emergence and ecology from historical outbreaks.PLOS global public health · 2024Article
- Mosquito Fauna and Spatial Distribution in an Atlantic Forest Area in Rio de Janeiro State, Brazil, Reveal a High Risk of Transmission of Yellow Fever and Other Arboviruses.Tropical medicine and infectious disease · 2022Article
- Socioecological vulnerability and the risk of zoonotic disease emergence in Brazil.Science advances · 2022Article
- Ecological and environmental factors affecting transmission of sylvatic yellow fever in the 2017-2019 outbreak in the Atlantic Forest, Brazil.Parasites & vectors · 2022Article
- The impact of social and environmental extremes on cholera time varying reproduction number in Nigeria.PLOS global public health · 2022Article
- Mapping environmental suitability of Haemagogus and Sabethes spp. mosquitoes to understand sylvatic transmission risk of yellow fever virus in Brazil.PLoS neglected tropical diseases · 2022Article
- Ecological niche modeling for predicting the potential geographical distribution ofParasite epidemiology and control · 2021Article
- Seasonality of agricultural exposure as an important predictor of seasonal yellow fever spillover in Brazil.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
Yellow fever virus (YFV) is a zoonotic arbovirus affecting both humans and non-human primates (NHP's) in Africa and South America. Previous descriptions of YF's seasonality have relied purely on climatic explanations, despite the high proportion of cases occurring in people involved in agriculture. We use a series of random forest classification models to predict the monthly occurrence of YF in humans and NHP's across Brazil, by fitting four classes of covariates related to the seasonality of climate and agriculture (planting and harvesting), crop output and host demography. We find that models captured seasonal YF reporting in humans and NHPs when they considered seasonality of agriculture rather than climate, particularly for monthly aggregated reports. These findings illustrate the seasonality of exposure, through agriculture, as a component of zoonotic spillover. Additionally, by highlighting crop types and anthropogenic seasonality, these results could directly identify areas at highest risk of zoonotic spillover.
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Registered trials
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.