Maria Eduarda Silva Almeida

Mrs. Maria Eduarda Silva Almeida

orcid

Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2026 in Viruses
Verified
Journal Article
Open access
PDF file
GPGabriele Barbosa Penha
Gabriele Barbosa Penha
EDElvira D’Bastiani
Elvira D’Bastiani
MSMateus Ferreira Santos Silva
Mateus Ferreira Santos Silva
MAMaria Eduarda Silva Almeida
Maria Eduarda Silva Almeida
PSPedro Augusto Almeida Souza
Pedro Augusto Almeida Souza
FAFilipe Abreu
Filipe Abreu
Oropouche fever (OF), caused by Oropouche virus (OROV), has expanded beyond its Amazonian range into Minas Gerais (MG), Brazil, raising concern about transmission in extra-Amazonian Atlantic Forest landscapes. Critical gaps persist regarding Culicoides vector communities, anthropophily, and climate-sensitive transmission risk in these newly affected regions. We conducted targeted entomological surveys outbreak-driven by human OF cases, standardized across five MG communities using CDC light traps and Protected Human Attraction (PHA) to characterize Culicoides composition. Females of Culicoides underwent RT-qPCR for OROV (n = 819) and physiological assessment (n = 312). We developed an entomological alert framework that integrates blood-fed abundance, minimum infection rate (MIR) upper confidence bounds, and environmental drivers (i.e., mean temperature, relative humidity and precipitation) via generalized additive mixed models, which explained 68% of the variability in Culicoides abundance and the alert index across communities. We collected 1171 Culicoides individuals representing five species (C. leopoldoi, C. paraensis, C. pusillus, C. foxi, and C. limai). C. leopoldoi (79.1%) and C. paraensis (20.3%) were the predominant species; notably, C. paraensis is recognized as the primary vector of OROV in the Americas. C. paraensis was documented for the first time in all five outbreak areas and dominated PHA captures (90%), suggesting anthropophily. Although no specimens tested OROV-positive (consistent with expected field infection rates of 0.01–1%), MIR upper bounds reached 132/1000 in low-sample settings and humidity and temperature strongly modulated abundance. This operational baseline and alert index transform virologically negative, sparse surveillance data into prioritized targets for intensified sampling and vector control during early, low-prevalence phases, when containment of OROV’s extra-Amazonian spread is still achievable.

13 February 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
GPGabriele Barbosa Penha
Gabriele Barbosa Penha
EDElvira D'Bastiani
Elvira D'Bastiani
MSMateus Ferreira Santos Silva
Mateus Ferreira Santos Silva
MAMaria Eduarda Silva Almeida
Maria Eduarda Silva Almeida
PSPedro Augusto Almeida Souza
Pedro Augusto Almeida Souza
FAFilipe Abreu
Filipe Abreu
Oropouche fever (OF), caused by Oropouche virus (OROV), has expanded beyond its Amazonian range into Minas Gerais (MG), Brazil, raising concern about transmission in extra‑Amazonian Atlantic Forest landscapes. Critical gaps persist regarding Culicoides vector communities, anthropophily, and climate-sensitive transmission risk in these newly affected regions. We conducted targeted entomological surveys in five MG outbreak communities using CDC light traps and Protected Human Attraction (PHA) to characterize Culicoides composition. Females underwent RT-qPCR for OROV (n = 819) and physiological assessment (n=312). We developed an entomological alert framework that integrates blood-fed abundance, minimum infection rate (MIR) upper confidence bounds, and environmental drivers via generalized additive mixed models, which explained 68% of the variability in Culicoides abundance and the alert index across communities. We collected 1,171 Culicoides representing five species, C. leopoldoi (79.1%) and the primary vector C. paraensis (20.3%) predominated. C. paraensis was documented for the first time in all five outbreak areas and dominated PHA captures (90%), confirming anthropophily. Although no specimens tested OROV-positive (consistent with expected field infection rates of 0.01–1%), MIR upper bounds reached 132/1,000 in low-sample settings and humidity and temperature strongly modulated abundance. This operational baseline and alert index transform virologically negative, sparse surveillance data into prioritized targets for in-tensified sampling and vector control during early, low‑prevalence phases, when con-tainment of OROV’s extra‑Amazonian spread is still achievable.