scholarly journals West Nile Virus in Brazil

Pathogens ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 896
Author(s):  
Érica Azevedo Costa ◽  
Marta Giovanetti ◽  
Lilian Silva Catenacci ◽  
Vagner Fonseca ◽  
Flávia Figueira Aburjaile ◽  
...  

Background: West Nile virus (WNV) was first sequenced in Brazil in 2019, when it was isolated from a horse in the Espírito Santo state. Despite multiple studies reporting serological evidence suggestive of past circulation since 2004, WNV remains a low priority for surveillance and public health, such that much is still unknown about its genomic diversity, evolution, and transmission in the country. Methods: A combination of diagnostic assays, nanopore sequencing, phylogenetic inference, and epidemiological modeling are here used to provide a holistic overview of what is known about WNV in Brazil. Results: We report new genetic evidence of WNV circulation in southern (Minas Gerais, São Paulo) and northeastern (Piauí) states isolated from equine red blood cells. A novel, climate-informed theoretical perspective of the potential transmission of WNV across the country highlights the state of Piauí as particularly relevant for WNV epidemiology in Brazil, although it does not reject possible circulation in other states. Conclusion: Our output demonstrates the scarceness of existing data, and that although there is sufficient evidence for the circulation and persistence of the virus, much is still unknown on its local evolution, epidemiology, and activity. We advocate for a shift to active surveillance, to ensure adequate preparedness for future epidemics with spill-over potential to humans.

2008 ◽  
Vol 163 (2) ◽  
pp. 52-53
Author(s):  
E. Bureau ◽  
S. Murri ◽  
Y. Kane ◽  
Y. Clerquin ◽  
H. Zeller ◽  
...  

2016 ◽  
Vol 53 ◽  
pp. 58 ◽  
Author(s):  
M. Maquart ◽  
M. Dahmani ◽  
J.-L. Marié ◽  
P. Gravier ◽  
I. Leparc-Goffart ◽  
...  

2013 ◽  
Vol 7 (12) ◽  
pp. 999-1002 ◽  
Author(s):  
Hicham El Rhaffouli ◽  
Idriss Lahlou-Amine ◽  
Chafiqua Loutfi ◽  
Abdellilah Laraqui ◽  
Tahar Bajjou ◽  
...  

Introduction: The objective of this study was to determine the prevalence of West Nile Virus infection in the southern provinces of Morocco. Methodology: A total of 250 sera, collected during 2012 in the province of Dakhla, were analyzed by microneutralisation assay. Results: WNV-neutralizing antibodies were detected in 13 samples (5.2%). The participants with WNV-specific antibodies were significantly younger than the rest of the population (p = 0.009). The positivity rate was higher among women (6.3%) than men (3.6%) (p = 0.26). Conclusions: This is the first serological evidence of WNV infection among humans in the southern provinces of Morocco.


2020 ◽  
Vol 20 (11) ◽  
pp. 850-854
Author(s):  
Pedro M. Palermo ◽  
Jeanette Orbegozo ◽  
John C. Morrill ◽  
Douglas M. Watts

2019 ◽  
Vol 19 (6) ◽  
pp. 446-449 ◽  
Author(s):  
Huseyin Yilmaz ◽  
Kenan Barut ◽  
Asiye Karakullukcu ◽  
Ozgur Kasapcopur ◽  
Bekir Kocazeybek ◽  
...  

2019 ◽  
Vol 11 (16) ◽  
pp. 1862 ◽  
Author(s):  
Elisavet Parselia ◽  
Charalampos Kontoes ◽  
Alexia Tsouni ◽  
Christos Hadjichristodoulou ◽  
Ioannis Kioutsioukis ◽  
...  

Earth Observation (EO) data can be leveraged to estimate environmental variables that influence the transmission cycle of the pathogens that lead to mosquito-borne diseases (MBDs). The aim of this scoping review is to examine the state-of-the-art and identify knowledge gaps on the latest methods that used satellite EO data in their epidemiological models focusing on malaria, dengue and West Nile Virus (WNV). In total, 43 scientific papers met the inclusion criteria and were considered in this review. Researchers have examined a wide variety of methodologies ranging from statistical to machine learning algorithms. A number of studies used models and EO data that seemed promising and claimed to be easily replicated in different geographic contexts, enabling the realization of systems on regional and national scales. The need has emerged to leverage furthermore new powerful modeling approaches, like artificial intelligence and ensemble modeling and explore new and enhanced EO sensors towards the analysis of big satellite data, in order to develop accurate epidemiological models and contribute to the reduction of the burden of MBDs.


2017 ◽  
Vol 17 (4) ◽  
pp. 275-277 ◽  
Author(s):  
Marianne Maquart ◽  
Mustapha Dahmani ◽  
Jean-Lou Marié ◽  
Patrick Gravier ◽  
Isabelle Leparc-Goffart ◽  
...  

Author(s):  
Bachir Medrouh ◽  
Ismail Lafri ◽  
Cécile Beck ◽  
Hamza Leulmi ◽  
Madjid Akkou ◽  
...  

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