Evidence map›Paper›PMID 39574858›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Dynamics and ecology of a multi-stage expansion of Oropouche virus in Brazil.

Houriiyah Tegally, Simon Dellicour, Jenicca Poongavanan, Carla Mavian, Graeme Dor, Vagner Fonseca, Massimiliano S Tagliamonte, Marcel Dunaiski, Monika Moir, Eduan Wilkinson and 11 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Houriiyah TegallyCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.ORCID 0000-0002-7102-8540
Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Brussels, Belgium.ORCID 0000-0001-9558-1052
Jenicca PoongavananCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Carla MavianEmerging Pathogens Institute, Department of Pathology, College of Medicine, University of Florida, Gainesville, Florida, USA.
Graeme DorCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Vagner FonsecaCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.ORCID 0000-0001-5521-6448
Massimiliano S TagliamonteInterdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, Florida, USA.
Marcel DunaiskiComputer Science Division, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa.
Monika MoirCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Eduan WilkinsonCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Carlos Frederico Campelo de AlbuquerqueOrganização Pan-Americana da Saúde/Organização Mundial da Saúde, Brasília, Distrito Federal, Brazil.
Livia C V FrutuosoCoordenadora-Geral de Vigilância de Arboviroses, Brazilian Ministry of Health, Brazil.
CLIMADE Consortium
Edward C HolmesSchool of Medical Sciences, University of Sydney, Sydney, NSW, Australia.
Cheryl BaxterCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.
Richard LessellsKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban 4001, South Africa.
Moritz U G KraemerPandemic Sciences Institute, University of Oxford, UK.
José LourençoBioISI (Biosystems and Integrative Sciences Institute), University of Lisbon, Lisbon, Portugal.
Luiz Carlos Junior AlcantaraInstituto René Rachou, Fundação Oswaldo Cruz, Minas Gerais, Brazil.
Tulio de OliveiraCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa.ORCID 0000-0002-3027-5254
Marta GiovanettiDepartment of Sciences and Technologies for Sustainable Development and One Health, Università Campus Bio-Medico di Roma, Rome, Italy.

Funding

University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
eLwazi Open Science Data Platform for AfricaU2CEB032224 · NIBIB · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2021 to 2025
$11.2M
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM AfricaU54TW012041 · FIC · INSTITUTE OF HUMAN VIROLOGY · PI Alash'le G. Abimiku, Tulio de Paiva Nazareth Andrade De Oliveira · 2021 to 2026
$6.9M
FIC NIH HHS U54 TW012041NIAID NIH HHS U01 AI151698NIBIB NIH HHS U2C EB032224Wellcome Trust
6 · The paper itself

Abstract

In March 2024, the Pan American Health Organization (PAHO) issued an alert in response to a rapid increase in Oropouche fever cases across South America. Brazil has been particularly affected, reporting a novel reassortant lineage of the Oropouche virus (OROV) and expansion to previously non-endemic areas beyond the Amazon Basin. Utilising phylogeographic approaches, we reveal a multi-scale expansion process with both short and long-distance dispersal events, and diffusion velocities in line with human-mediated jumps. We identify forest cover, banana and cocoa cultivation, temperature, and human population density as key environmental factors associated with OROV range expansion. Using ecological niche modelling, we show that OROV circulated in areas of enhanced ecological suitability immediately preceding its explosive epidemic expansion in the Amazon. This likely resulted from the virus being introduced into simultaneously densely populated and environmentally favourable regions in the Amazon, such as Manaus, leading to an amplified epidemic and spread beyond the Amazon. Our study provides valuable insights into the dispersal and ecological dynamics of OROV, highlighting the role of human mobility in colonisation of new areas, and raising concern over high viral suitability along the Brazilian coast.

Indexed as

ecological niche modellingOropouche virusphylodynamicsphylogeography

Identifiers

PMID39574858
PMCPMC11581102

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.