Molecular detection of multiple arboviruses in the city of Goiânia-Goiás-Brazil

ABSTRACT Background: Healthcare systems are currently ill-equipped to diagnose arboviruses rapidly and efficiently or to differentiate between various viruses. Methods: Utilizing molecular techniques, this study examined arbovirus infections in 459 patients from a public health unit in Goiânia-Goiás...

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Bibliographic Details
Main Authors: Jordana Farias Corrêa, Silvia Maria Salem-Izacc, Elisângela Gomes da Silva, Adriano Roberto Vieira de Sousa, Gabrielly Regis Abrantes, Marina Machado Santos, Juliana Pires Ribeiro, Marco Tulio A Garcia-Zapata, Natália Santana do Nascimento, Carlos Eduardo Anunciação, Sandra Maria Brunini, Elisângela de Paula Silveira-Lacerda
Format: Article in Journal/Newspaper
Language:English
Published: Sociedade Brasileira de Medicina Tropical (SBMT) 2024
Subjects:
PCR
Online Access:https://doi.org/10.1590/0037-8682-0539-2023
https://doaj.org/article/a44ade423d2f46f788c34a96a5f8b66b
Description
Summary:ABSTRACT Background: Healthcare systems are currently ill-equipped to diagnose arboviruses rapidly and efficiently or to differentiate between various viruses. Methods: Utilizing molecular techniques, this study examined arbovirus infections in 459 patients from a public health unit in Goiânia-Goiás, Brazil, a region where arbovirus infection poses a significant public health challenge. Results: Nearly 60% of the analyzed samples tested positive for at least one arbovirus, and over 10% of the patients were co-infected with more than one virus. Conclusions: Fast and accurate diagnostic tools are essential for informing public health policy and enhancing epidemiological surveillance.