Thiago Cerqueira-Silva
Dados Biográficos
| ID | 1782517 |
|---|---|
| NOME | Thiago Cerqueira-Silva |
| PRENOMES | Thiago |
| SOBRENOME | Cerqueira-Silva |
| ASSINATURA | CERQUEIRA-SILVA T |
| AFILIAÇÕES | Fundação Oswaldo Cruz |
| ORCID | 0000-0003-4534-2509 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Brazil’s Bolsa Família conditional cash transfer and child malnutrition
INTRODUCTION: Program (BFP)) with child nutrition nationwide in Brazil. METHODS: We used the Centre for Data and Knowledge Integration for Health Birth Cohort (baseline data from the National Registry for Social Programmes (CadÚnico) linked with live births and nutrition registries) to conduct a longitudinal population-based study between 2008 and 2015. This cohort study followed children from birth until 5 years old between 1 January 2008 and 31…
Global, regional and national burden of chikungunya
INTRODUCTION: mosquitoes, causes epidemics in tropical regions with potential risk in higher latitudes. Our aim is to estimate the global, regional and national burden of chikungunya across affected and environmentally suitable at-risk regions. METHODS: We used a random forest model to predict force of infection and estimate chikungunya burden at high spatial resolution (5×5 km) using covariates from climatic, socioeconomic and ecological domains…
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, …
Social support and religiosity in bipolar disorder individuals in euthymic phase
The primary purpose of this study was to evaluate the association between social support and religiosity in bipolar disorder patients in the recovery phase of the disorder. We assessed 180 bipolar outpatients with the Medical Outcomes Study Social Support Scale and the Duke Religion Index. Most of the bipolar disorder outpatients did not attend group activities. We did not find any correlation between total social support and religiosity domains,…
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
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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, …
Social support and religiosity in bipolar disorder individuals in euthymic phase
The primary purpose of this study was to evaluate the association between social support and religiosity in bipolar disorder patients in the recovery phase of the disorder. We assessed 180 bipolar outpatients with the Medical Outcomes Study Social Support Scale and the Duke Religion Index. Most of the bipolar disorder outpatients did not attend group activities. We did not find any correlation between total social support and religiosity domains,…
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…
Brazil’s Bolsa Família conditional cash transfer and child malnutrition
INTRODUCTION: Program (BFP)) with child nutrition nationwide in Brazil. METHODS: We used the Centre for Data and Knowledge Integration for Health Birth Cohort (baseline data from the National Registry for Social Programmes (CadÚnico) linked with live births and nutrition registries) to conduct a longitudinal population-based study between 2008 and 2015. This cohort study followed children from birth until 5 years old between 1 January 2008 and 31…
Global, regional and national burden of chikungunya
INTRODUCTION: mosquitoes, causes epidemics in tropical regions with potential risk in higher latitudes. Our aim is to estimate the global, regional and national burden of chikungunya across affected and environmentally suitable at-risk regions. METHODS: We used a random forest model to predict force of infection and estimate chikungunya burden at high spatial resolution (5×5 km) using covariates from climatic, socioeconomic and ecological domains…
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) · Internal Medicine (5 obras) · Disease (4 obras) · Environmental health (4 obras) · Cohort study (3 obras) · Data-Driven Disease Surveillance (3 obras) · Epidemiology (3 obras) · Medical emergency (3 obras) · Outbreak (3 obras) · Political science (3 obras)