Publications by authors named "E T de Lemos"

Hantaviruses are zoonotic pathogens associated with severe human diseases such as hemorrhagic fever with renal syndrome and hantavirus pulmonary syndrome. Despite the extensive study of rodent-borne hantaviruses, research on bat-associated hantaviruses remains limited. This study aimed to investigate the seroprevalence and cross-reactivity of neotropical bat samples with rodent- and bat-associated recombinant hantavirus nucleoproteins (rNPs) to improve hantavirus surveillance in the Brazilian Atlantic Forest.

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Background: Bat-borne hantaviruses have been identified worldwide but little is known about neotropical bats in the megadiverse biomes of the American continent. Although serological evidence has hinted at hantavirus circulation in Brazil, the scarce number of genomic detection represents a gap to understand viral diversity, prevalence, and ecology of bat-borne hantaviruses.

Objective: We aim to investigate and evaluate the presence and prevalence of bat-borne hantavirus in the Brazilian Atlantic Forest.

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Currently, COVID-19 and tuberculosis (TB) are the deadliest infectious diseases worldwide. Their synergy, form of presentation, morbidity, and mortality are data that have been scarcely explored. Thus, this study aimed to characterize the clinical, epidemiological, and laboratory factors of this co-infection and to analyze the factors associated with the active TB among COVID-19 cases.

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Article Synopsis
  • - The study explored how rodent host traits and community diversity in the Atlantic Forest relate to Bartonella infection rates, using various ecological and modeling methods.
  • - Findings indicated that neither community diversity indices nor specific rodent traits, such as body size and ecological habits, significantly impacted the likelihood of Bartonella infection in rodents or other mammals in Brazil.
  • - The research emphasized the intricate interactions among wild mammals and their shared Bartonella lineages with domesticated animals, illustrating the complexity of the bacteria's transmission cycle.
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