Evidence map›Paper›PMID 37149619›Full record

ArticleInfectious diseases of poverty2023

Transmission risk of Oropouche fever across the Americas.

Daniel Romero-Alvarez, Luis E Escobar, Albert J Auguste, Sara Y Del Valle, Carrie A Manore

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
9.3field-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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  9. Oropouche Virus Infection: A Growing Global Public Health Concern.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025
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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.

Daniel Romero-AlvarezBiodiversity Institute and Department of Ecology & Evolutionary Biology, University of Kansas, Lawrence, KS, 66044, USA. daromero88@gmail.com.ORCID http://orcid.org/0000-0002-6762-6046
Luis E EscobarDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, 24061, USA.
Albert J AugusteCenter for Emerging, Zoonotic, and Arthropod-Borne Pathogens, Virginia Tech, Blacksburg, VA, 24061, USA.
Sara Y Del ValleInformation Systems and Modeling (A-1), Los Alamos National Laboratory, Los Alamos, NM, USA.
Carrie A ManoreTheoretical Biology and Biophysics (T-6), Los Alamos National Laboratory, Los Alamos, NM, USA.
Los Alamos National Laboratory · USVirginia Tech · US

Funding

A Novel Strategy for Generating Safe and Effective Flavivirus VaccinesR01AI153433 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI AUGUSTE, ALBERT J. · 2020 to 2024
$2.0M
NIAID NIH HHS R01 AI153433
6 · The paper itself

Abstract

backgroundVector-borne diseases (VBDs) are important contributors to the global burden of infectious diseases due to their epidemic potential, which can result in significant population and economic impacts. Oropouche fever, caused by Oropouche virus (OROV), is an understudied zoonotic VBD febrile illness reported in Central and South America. The epidemic potential and areas of likely OROV spread remain unexplored, limiting capacities to improve epidemiological surveillance.

methodsTo better understand the capacity for spread of OROV, we developed spatial epidemiology models using human outbreaks as OROV transmission-locality data, coupled with high-resolution satellite-derived vegetation phenology. Data were integrated using hypervolume modeling to infer likely areas of OROV transmission and emergence across the Americas.

resultsModels based on one-support vector machine hypervolumes consistently predicted risk areas for OROV transmission across the tropics of Latin America despite the inclusion of different parameters such as different study areas and environmental predictors. Models estimate that up to 5 million people are at risk of exposure to OROV. Nevertheless, the limited epidemiological data available generates uncertainty in projections. For example, some outbreaks have occurred under climatic conditions outside those where most transmission events occur. The distribution models also revealed that landscape variation, expressed as vegetation loss, is linked to OROV outbreaks.

conclusionsHotspots of OROV transmission risk were detected along the tropics of South America. Vegetation loss might be a driver of Oropouche fever emergence. Modeling based on hypervolumes in spatial epidemiology might be considered an exploratory tool for analyzing data-limited emerging infectious diseases for which little understanding exists on their sylvatic cycles. OROV transmission risk maps can be used to improve surveillance, investigate OROV ecology and epidemiology, and inform early detection.

Indexed as

Bunyaviridae InfectionsOrthobunyavirusAmericasDisease OutbreaksHumansConvex-hullsDistribution modelingHypervolumesOne-class support vector machinesOropouche feverOropouche virusRisk mappingSpatial modeling

Identifiers

PMID37149619
PMCPMC10163756
OpenAlexW4372354919

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.