Viviane S Boaventura
Datos Biográficos
| ID | 1782523 |
|---|---|
| NOMBRE | Viviane S Boaventura |
| NOMBRES | Viviane S |
| APELLIDO | Boaventura |
| FIRMA | BOAVENTURA V S |
| AFILIACIONES | Fundação Oswaldo Cruz |
| ORCID | 0000-0002-7241-6844 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Leveraging the power of digital health to fight pandemics
Emerging outbreaks highlight the need for early warning systems, but low-resource centers often face challenges to maintain surveillance capabilities. Administrative data-based systems offer a cost-efficient approach to strengthening surveillance. The present study evaluated whether a primary health care (PHC)-based early warning system could anticipate respiratory outbreak detection, when compared to traditional surveillance. Weekly counts of in…
Early warning system using primary health care data in the post-Covid-19 pandemic era
Syndromic surveillance using primary health care (PHC) data is a valuable tool for early outbreak detection, as demonstrated by the potential to identify COVID-19 outbreaks. However, the potential of such an early warning system in the post-COVID-19 era remains largely unexplored. We analyzed PHC encounter counter of respiratory complaints registered in the database of the Brazilian Unified National Health System from October 2022 to July 2023. W…
Prevalence and risk factors for long Covid after mild disease
Background: There is limited data on the prevalence and risk factors for long COVID and few prospective studies with appropriate control groups and adequate sample sizes. We performed a prospective study to determine the prevalence and risk factors for long COVID. Methods: We recruited individuals aged ≥15 years who were clinically suspected of having an acute SARS-CoV-2 infection from September 2020 to April 2021. We collected nasopharyngeal swa…
Early detection of respiratory disease outbreaks through primary healthcare data
Background: The emergence of coronavirus disease 2019 (COVID-19) in 2020 highlighted the relevance of surveillance systems in detecting early signs of potential outbreaks, thus enabling public health authorities to act before the pathogen becomes widespread. Syndromic digital surveillance through web applications has played a crucial role in monitoring the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. However, …
Vaccine coverage and effectiveness against laboratory-confirmed symptomatic and severe Covid-19 in indigenous people in Brazil
Lower coverage but similar Covid-19 VE among indigenous people than overall Brazilians suggest the need to expand access, timely vaccination, and urgently offer booster doses to achieve a great level of protection among this group
Métodos para avaliação da efetividade de vacinas para Covid-19 com ênfase em abordagens quase-experimentais
A avalição da efetividade de vacinas é feita com dados do mundo real e é essencial para monitorar o desempenho dos programas de vacinação ao longo do tempo bem como frente a novas variantes. Até o momento, a avaliação da efetividade das vacinas para COVID-19 tem sido baseada em métodos clássicos como estudos de coorte e caso controle teste-negativo, que muitas vezes podem não permitir o adequado controle dos vieses intrínsecos da alocação das cam…
Sin obras prominentes en esta página.
Métodos para avaliação da efetividade de vacinas para Covid-19 com ênfase em abordagens quase-experimentais
A avalição da efetividade de vacinas é feita com dados do mundo real e é essencial para monitorar o desempenho dos programas de vacinação ao longo do tempo bem como frente a novas variantes. Até o momento, a avaliação da efetividade das vacinas para COVID-19 tem sido baseada em métodos clássicos como estudos de coorte e caso controle teste-negativo, que muitas vezes podem não permitir o adequado controle dos vieses intrínsecos da alocação das cam…
Prevalence and risk factors for long Covid after mild disease
Background: There is limited data on the prevalence and risk factors for long COVID and few prospective studies with appropriate control groups and adequate sample sizes. We performed a prospective study to determine the prevalence and risk factors for long COVID. Methods: We recruited individuals aged ≥15 years who were clinically suspected of having an acute SARS-CoV-2 infection from September 2020 to April 2021. We collected nasopharyngeal swa…
Early detection of respiratory disease outbreaks through primary healthcare data
Background: The emergence of coronavirus disease 2019 (COVID-19) in 2020 highlighted the relevance of surveillance systems in detecting early signs of potential outbreaks, thus enabling public health authorities to act before the pathogen becomes widespread. Syndromic digital surveillance through web applications has played a crucial role in monitoring the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. However, …
Vaccine coverage and effectiveness against laboratory-confirmed symptomatic and severe Covid-19 in indigenous people in Brazil
Lower coverage but similar Covid-19 VE among indigenous people than overall Brazilians suggest the need to expand access, timely vaccination, and urgently offer booster doses to achieve a great level of protection among this group
Early warning system using primary health care data in the post-Covid-19 pandemic era
Syndromic surveillance using primary health care (PHC) data is a valuable tool for early outbreak detection, as demonstrated by the potential to identify COVID-19 outbreaks. However, the potential of such an early warning system in the post-COVID-19 era remains largely unexplored. We analyzed PHC encounter counter of respiratory complaints registered in the database of the Brazilian Unified National Health System from October 2022 to July 2023. W…
Leveraging the power of digital health to fight pandemics
Emerging outbreaks highlight the need for early warning systems, but low-resource centers often face challenges to maintain surveillance capabilities. Administrative data-based systems offer a cost-efficient approach to strengthening surveillance. The present study evaluated whether a primary health care (PHC)-based early warning system could anticipate respiratory outbreak detection, when compared to traditional surveillance. Weekly counts of in…
Medicine (6 obras) · Disease (4 obras) · Internal Medicine (4 obras) · Data-Driven Disease Surveillance (3 obras) · Environmental health (3 obras) · Medical emergency (3 obras) · Outbreak (3 obras) · Virology (3 obras) · Cohort study (2 obras) · Computer Science (2 obras)