Wellington Pinheiro Dos Santos
Biographic Data
| ID | 1683194 |
|---|---|
| NAME | Wellington Pinheiro Dos Santos |
| GIVEN NAMES | Wellington Pinheiro |
| FAMILY NAME | Dos Santos |
| SIGNATURE | DOS SANTOS W P |
| AFFILIATIONS | Universidade Federal de Pernambuco |
| ORCID | 0000-0003-2558-6602 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
LLM-Assisted Scoping Review of Artificial Intelligence in Brazilian Public Health
Artificial intelligence (AI) has become a strategic technology for global health, with increasing relevance amid the climate emergency and persistent digital inequalities. This study examines how AI has been applied in Brazilian healthcare through a scoping review with an in-depth methodological synthesis, focusing on Transfer Learning (TL) and Federated Learning (FL) as approaches to address data scarcity, privacy, and technological dependence. …
Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by Aedes aegypti
Arboviruses spread in urban tropics under climate change. At Aedes aegypti breeding sites in Recife, Brazil, we linked surveillance and climate data from the Pernambuco Water and Climate Agency (APAC), the Brazilian National Institute of Meteorology (INMET), Rapid Survey of Indices for Aedes aegypti (LIRAa), and Recife's Open Data Portal. We modeled 2013-2021 cases and 2009-2017 breeding sites. We generated spatial fields with inverse distance we…
Abordagens regulatórias na proteção de dados em saúde
Objetivo: Identificar a literatura científica acerca das estratégias de regulação das tecnologias de informação aplicadas na área da saúde para proteção dos dados dos usuários. Metodologia: Foi conduzida uma revisão integrativa da literatura, consultando as bases de dados BVS, Scielo e Web of Science, utilizando descritores em português e inglês, delimitando os artigos com ênfase nas tecnologias e LGPD. Resultados: A revisão resultou na identific…
Analysis of the interrelationship between precipitation and confirmed dengue cases in the city of Recife (Brazil) covering climate and public health information
Large-scale epidemics of arboviruses, such as dengue, have heightened societal awareness regarding the necessity of combating the primary transmission vectors. Equally critical is the identification of environmental conditions and variables that influence vector population dynamics. Aedes aegypti , the primary vector of arboviruses such as dengue and Zika in Brazil, is closely associated with the climatic and geographical conditions of urban envi…
Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning
Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they are part of the Neglected Tropical Diseases that pose several public health challenges for countries around the world. The arboviruses' dynamics are governed by a combination of climatic, environmental, and human mobility factors. Arboviruses prediction models can be a support tool for decision-making by public health agents. In this study, we propose a sy…
Mewar
Mosquito surveillance is a crucial process for understanding the population dynamics of mosquitoes, as well as implementing interventional programs for controlling and preventing the spread of mosquito-borne diseases. Environmental surveillance agents who performing routine entomological surveys at properties in areas where mosquito-borne diseases are endemic play a critical role in vector surveillance by searching and destroying mosquito hotspot…
Covid-19 Dynamic Monitoring and Real-Time Spatio-Temporal Forecasting
Background: Periodically, humanity is often faced with new and emerging viruses that can be a significant global threat. It has already been over a century post—the Spanish Flu pandemic, and we are witnessing a new type of coronavirus, the SARS-CoV-2, which is responsible for Covid-19. It emerged from the city of Wuhan (China) in December 2019, and within a few months, the virus propagated itself globally now resulting more than 50 million cases …
Covid-Sgis
Background: The global burden of the new coronavirus SARS-CoV-2 is increasing at an unprecedented rate. The current spread of Covid-19 in Brazil is problematic causing a huge public health burden to its population and national health-care service. To evaluate strategies for alleviating such problems, it is necessary to forecast the number of cases and deaths in order to aid the stakeholders in the process of making decisions against the disease. …
No prominent works on this page.
Covid-Sgis
Background: The global burden of the new coronavirus SARS-CoV-2 is increasing at an unprecedented rate. The current spread of Covid-19 in Brazil is problematic causing a huge public health burden to its population and national health-care service. To evaluate strategies for alleviating such problems, it is necessary to forecast the number of cases and deaths in order to aid the stakeholders in the process of making decisions against the disease. …
Mewar
Mosquito surveillance is a crucial process for understanding the population dynamics of mosquitoes, as well as implementing interventional programs for controlling and preventing the spread of mosquito-borne diseases. Environmental surveillance agents who performing routine entomological surveys at properties in areas where mosquito-borne diseases are endemic play a critical role in vector surveillance by searching and destroying mosquito hotspot…
Covid-19 Dynamic Monitoring and Real-Time Spatio-Temporal Forecasting
Background: Periodically, humanity is often faced with new and emerging viruses that can be a significant global threat. It has already been over a century post—the Spanish Flu pandemic, and we are witnessing a new type of coronavirus, the SARS-CoV-2, which is responsible for Covid-19. It emerged from the city of Wuhan (China) in December 2019, and within a few months, the virus propagated itself globally now resulting more than 50 million cases …
Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning
Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they are part of the Neglected Tropical Diseases that pose several public health challenges for countries around the world. The arboviruses' dynamics are governed by a combination of climatic, environmental, and human mobility factors. Arboviruses prediction models can be a support tool for decision-making by public health agents. In this study, we propose a sy…
Analysis of the interrelationship between precipitation and confirmed dengue cases in the city of Recife (Brazil) covering climate and public health information
Large-scale epidemics of arboviruses, such as dengue, have heightened societal awareness regarding the necessity of combating the primary transmission vectors. Equally critical is the identification of environmental conditions and variables that influence vector population dynamics. Aedes aegypti , the primary vector of arboviruses such as dengue and Zika in Brazil, is closely associated with the climatic and geographical conditions of urban envi…
Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by Aedes aegypti
Arboviruses spread in urban tropics under climate change. At Aedes aegypti breeding sites in Recife, Brazil, we linked surveillance and climate data from the Pernambuco Water and Climate Agency (APAC), the Brazilian National Institute of Meteorology (INMET), Rapid Survey of Indices for Aedes aegypti (LIRAa), and Recife's Open Data Portal. We modeled 2013-2021 cases and 2009-2017 breeding sites. We generated spatial fields with inverse distance we…
Abordagens regulatórias na proteção de dados em saúde
Objetivo: Identificar a literatura científica acerca das estratégias de regulação das tecnologias de informação aplicadas na área da saúde para proteção dos dados dos usuários. Metodologia: Foi conduzida uma revisão integrativa da literatura, consultando as bases de dados BVS, Scielo e Web of Science, utilizando descritores em português e inglês, delimitando os artigos com ênfase nas tecnologias e LGPD. Resultados: A revisão resultou na identific…
LLM-Assisted Scoping Review of Artificial Intelligence in Brazilian Public Health
Artificial intelligence (AI) has become a strategic technology for global health, with increasing relevance amid the climate emergency and persistent digital inequalities. This study examines how AI has been applied in Brazilian healthcare through a scoping review with an in-depth methodological synthesis, focusing on Transfer Learning (TL) and Federated Learning (FL) as approaches to address data scarcity, privacy, and technological dependence. …
Medicine (4 works) · Computer Science (3 works) · Environmental health (3 works) · Mosquito-borne diseases and control (3 works) · Population (3 works) · Public health (3 works) · Anomaly Detection Techniques and Applications (2 works) · COVID-19 epidemiological studies (2 works) · Geography (2 works) · Malaria Research and Control (2 works)