Tatiana S Gregianini
Biographic Data
| ID | 1333407 |
|---|---|
| NAME | Tatiana S Gregianini |
| GIVEN NAMES | Tatiana S |
| FAMILY NAME | Gregianini |
| SIGNATURE | GREGIANINI T S |
| AFFILIATIONS | Secretaria de Saúde do Estado do Rio Grande do Sul, Brasil |
| ORCID | 0000-0002-9912-9060 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Machine learning in predicting severe acute respiratory infection outbreaks
Severe acute respiratory infection (SARI) outbreaks occur annually, with seasonal peaks varying among geographic regions. Case notification is important to prepare healthcare networks for patient attendance and hospitalization. Thus, health managers need adequate resource planning tools for SARI seasons. This study aims to predict SARI outbreaks based on models generated with machine learning using SARI hospitalization notification data. In this …
Influenza A(H3N2) infection followed by separate Covid-19 infection
This study describes the case of a health professional infected first by influenza virus A(H3N2) and then by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 11 days later. Respiratory samples and clinical data were collected from the patient and from close contacts. RNA was extracted from samples and reverse transcription–quantitative polymerase chain reaction (RT-qPCR) was used to investigate the viruses. The patient presented with …
Low prevalence of influenza A strains with resistance markers in Brazil during 2017–2019 seasons
The influenza A virus (IAV) is of a major public health concern as it causes annual epidemics and has the potential to cause pandemics. At present, the neuraminidase inhibitors (NAIs) are the most widely used anti-influenza drugs, but, more recently, the drug baloxavir marboxil (BXM), a polymerase inhibitor, has also been licensed in some countries. Mutations in the viral genes that encode the antiviral targets can lead to treatment resistance. W…
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Low prevalence of influenza A strains with resistance markers in Brazil during 2017–2019 seasons
The influenza A virus (IAV) is of a major public health concern as it causes annual epidemics and has the potential to cause pandemics. At present, the neuraminidase inhibitors (NAIs) are the most widely used anti-influenza drugs, but, more recently, the drug baloxavir marboxil (BXM), a polymerase inhibitor, has also been licensed in some countries. Mutations in the viral genes that encode the antiviral targets can lead to treatment resistance. W…
Influenza A(H3N2) infection followed by separate Covid-19 infection
This study describes the case of a health professional infected first by influenza virus A(H3N2) and then by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 11 days later. Respiratory samples and clinical data were collected from the patient and from close contacts. RNA was extracted from samples and reverse transcription–quantitative polymerase chain reaction (RT-qPCR) was used to investigate the viruses. The patient presented with …
Machine learning in predicting severe acute respiratory infection outbreaks
Severe acute respiratory infection (SARI) outbreaks occur annually, with seasonal peaks varying among geographic regions. Case notification is important to prepare healthcare networks for patient attendance and hospitalization. Thus, health managers need adequate resource planning tools for SARI seasons. This study aims to predict SARI outbreaks based on models generated with machine learning using SARI hospitalization notification data. In this …
Medicine (3 works) · Disease (2 works) · Influenza Virus Research Studies (2 works) · Respiratory viral infections research (2 works) · Virology (2 works) · Virus (2 works) · Amino acid substitution (1 works) · Artificial neural network (1 works) · Attendance (1 works) · Biology (1 works)