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...
Main Authors: | , , , , , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Sociedade Brasileira de Medicina Tropical (SBMT)
2024
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Subjects: | |
Online Access: | https://doi.org/10.1590/0037-8682-0539-2023 https://doaj.org/article/a44ade423d2f46f788c34a96a5f8b66b |
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. |
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