Pilar Tavares Veras Florentino
Dados Biográficos
| ID | 1782520 |
|---|---|
| NOME | Pilar Tavares Veras Florentino |
| PRENOMES | Pilar Tavares Veras |
| SOBRENOME | Florentino |
| ASSINATURA | FLORENTINO P T V |
| AFILIAÇÕES | Fundação Oswaldo Cruz |
| ORCID | 0000-0001-8077-8100 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 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…
Public perception of the persistence of Covid-19 symptoms and potential strategies to address Long Covid
Long COVID is characterized by symptoms that persist for more than 12 weeks after a SARS-CoV-2 infection. This study investigated public perceptions of long COVID in Brazil. Interviews were conducted with 1,295 participants selected based on variable quotas, according to the population distribution in each region of the country, using data from the 2021 National Household Sample Survey (PNAD) and the 2010 IBGE Census. The findings revealed that 4…
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…
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, …
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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, …
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…
Public perception of the persistence of Covid-19 symptoms and potential strategies to address Long Covid
Long COVID is characterized by symptoms that persist for more than 12 weeks after a SARS-CoV-2 infection. This study investigated public perceptions of long COVID in Brazil. Interviews were conducted with 1,295 participants selected based on variable quotas, according to the population distribution in each region of the country, using data from the 2021 National Household Sample Survey (PNAD) and the 2010 IBGE Census. The findings revealed that 4…
Disease (4 obras) · Medicine (4 obras) · Data-Driven Disease Surveillance (3 obras) · Environmental health (3 obras) · Medical emergency (3 obras) · Outbreak (3 obras) · Virology (3 obras) · Computer Science (2 obras) · COVID-19 Digital Contact Tracing (2 obras) · COVID-19 epidemiological studies (2 obras)