Ana Clara Gomes da Silva
Biographic Data
| ID | 7906189 |
|---|---|
| NAME | Ana Clara Gomes da Silva |
| GIVEN NAMES | Ana Clara Gomes |
| FAMILY NAME | da Silva |
| SIGNATURE | DA SILVA A C G |
| AFFILIATIONS | Universidade Federal de Pernambuco |
| ORCID | 0000-0002-2823-5763 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
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…
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…
Avaliação de reincidência de ofensa sexual em adolescentes de 16-18 anos
Este texto refere-se a uma pesquisa exploratória realizada com adolescentes que cometeram ofensa sexual na faixa etária de 16 a 18 anos e que foram atendidos em um programa de assistência a famílias em situação de violência. O objetivo é investigar o risco de reincidência sexual desses participantes nesta faixa etária, por meio do instrumento ERASOR 2.0 (versão portuguesa). Trata-se de pesquisa documental, com informações colhidas dos prontuários…
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…
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. …
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 …
Avaliação de reincidência de ofensa sexual em adolescentes de 16-18 anos
Este texto refere-se a uma pesquisa exploratória realizada com adolescentes que cometeram ofensa sexual na faixa etária de 16 a 18 anos e que foram atendidos em um programa de assistência a famílias em situação de violência. O objetivo é investigar o risco de reincidência sexual desses participantes nesta faixa etária, por meio do instrumento ERASOR 2.0 (versão portuguesa). Trata-se de pesquisa documental, com informações colhidas dos prontuários…
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…
Medicine (3 works) · Anomaly Detection Techniques and Applications (2 works) · Computer Science (2 works) · Environmental health (2 works) · Geography (2 works) · Mosquito-borne diseases and control (2 works) · Outbreak (2 works) · Population (2 works) · Public health (2 works) · Virology (2 works)