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Abstract

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Abstract
This article presents an integrative review of the literature on the use of real-time PCR in
arbovirus diagnoses. The review was conducted based on a search of the PubMed and
ScienceDirect databases, using the following inclusion criteria: articles published in the last
10 years, in Portuguese, English or Spanish, addressing the use of real-time PCR in
arbovirus diagnosis.
The review identified 35 articles that met the inclusion criteria. The results showed that
real-time PCR is a promising method for arbovirus diagnosis, capable of detecting the
genetic material of the infectious agent with high sensitivity and specificity. The method is
also fast and automated, making it an ideal tool for mass diagnosis.
Tracking the Study
From the review of the article, it was observed that the use of real-time PCR in arbovirus
diagnosis has proven to be a promising tool. The method is capable of detecting the genetic
material of the infectious agent with high sensitivity and specificity, making it an effective
alternative to traditional diagnostic methods.
Furthermore, the method is fast and automated, making it an ideal tool for mass diagnosis.
This is important because arboviruses are vector-borne diseases, such as mosquitoes,
which can cause epidemic outbreaks.
However, it is important to emphasize that real-time PCR is still a relatively new method, and
more research is needed to evaluate its efficacy and safety in different contexts.
Recommendations
Based on the results of the review, it is recommended that more studies be conducted to
evaluate the efficacy and safety of real-time PCR in arbovirus diagnosis. These studies
should be conducted in different contexts, including urban and rural areas, populations of
different age groups and health conditions.
In addition, it is recommended that standardized protocols be developed for the use of
real-time PCR in arbovirus diagnosis. This would help to ensure the quality and reliability of
the test results.
Conclusion
The use of real-time PCR in arbovirus diagnosis is a promising area of research. The
method has the potential to improve the diagnosis and management of these diseases,
which are a major public health issue.
I hope this English translation is accurate and helpful! Please let me know if you have any
other questions.
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