Abstract <p>Oropouche virus (OROV) is mainly transmitted to humans by <i>Culicoides paraensis</i>, a biting midge widely distributed across the Americas. In this study, we modeled the potential distribution of <i>C. paraensis</i> in Brazil using environmental variables and found that temperature-related factors, particularly minimum temperature and annual temperature range, were the strongest predictors of its occurrence. Comparison of the predicted distribution with confirmed autochthonous OROV cases revealed several areas of mismatch, suggesting either underreporting of <i>C. paraensis</i> or the involvement of additional vector species in transmission. These findings highlight the need to integrate <i>C. paraensis</i> into Brazil’s arbovirus surveillance systems and to strengthen entomological monitoring with the support of remote sensing, climate data, and ecological research to better anticipate and mitigate future transmission risks.</p> Graphical Abstract <p></p>

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Modeling Culicoides paraensis distribution and implications for Oropouche virus transmission in Brazil

  • Camila Lorenz,
  • Thiago Salomão de Azevedo,
  • Alekin Bispo Gomes,
  • Francisco Chiaravalloti-Neto,
  • Maria Anice Mureb Sallum

摘要

Abstract

Oropouche virus (OROV) is mainly transmitted to humans by Culicoides paraensis, a biting midge widely distributed across the Americas. In this study, we modeled the potential distribution of C. paraensis in Brazil using environmental variables and found that temperature-related factors, particularly minimum temperature and annual temperature range, were the strongest predictors of its occurrence. Comparison of the predicted distribution with confirmed autochthonous OROV cases revealed several areas of mismatch, suggesting either underreporting of C. paraensis or the involvement of additional vector species in transmission. These findings highlight the need to integrate C. paraensis into Brazil’s arbovirus surveillance systems and to strengthen entomological monitoring with the support of remote sensing, climate data, and ecological research to better anticipate and mitigate future transmission risks.

Graphical Abstract