Fernando Xavier

• Doctor of Computer Engineering
• University of São Paulo

OBJECTIVE This study aims to integrate the concepts of planetary health and big data into the Donabedian model to evaluate the Brazilian dengue control program in the state of São Paulo. METHODS Data science methods were used to integrate and analyze dengue-related data, adding context to the structure and outcome components of the Donabedian mode...

A dengue é uma doença que atinge milhões de pessoas anualmente no mundo. O Brasil, que tinha erradicado a doença, voltou a lidar com alto número de casos e epidemias sazonais. A despeito das ações executadas pelo poder público, não se observa uma evolução no programa de combate à dengue. A falta de compreensão das razões desse insucesso torna a den...

O artigo apresenta alguns dos principais aspectos da revolução pela qual o campo da Inteligência Artificial (IA) está passando – especificamente no subcampo do processamento de linguagem natural – devido ao aprendizado de máquina. O objetivo é demonstrar como grandes modelos de linguagem – como aqueles que sustentam o ChatGPT – são passos decisivos...

The main characteristic of what is called Digital Agriculture, or Agriculture 4.0, is the intensive use of data. It can be said that Digital Agriculture is data-driven. In other words, data, which are becoming increasingly available with spatial and temporal attributes, at high frequencies and on an unprecedented scale, have become essential inputs...

The COVID-19 pandemic affected all countries worldwide, causing big changes in people's routines due to public policies for disease spreading control. Among the most impacting measures were social distancing policies and lockdown, leading to an intense discussion by the population. To describe this discussion in Brazil, this research applied data s...

The COVID-19 pandemic has affected the entire world, causing millions of deaths. In addition to this disease, many countries also periodically face outbreaks of other diseases, such as dengue. Although the two diseases have their specific characteristics, there may be common factors affecting them. Knowing these factors is essential for governments...

During the COVID-19 pandemic many people used social media to seek information about the disease. In addition, these platforms were used to share news and opinions on issues related to COVID-19, such as vaccines and isolation policies. Extracting useful information for public health from these platforms efficiently poses some challenges due to the...

The heterogeneous data produced in agricultural supply chains can be divided into three main systems: (i) product identification and traceability, related to identifying production batches and locations of the product throughout the supply chain; (ii) environmental monitoring, considering environmental variables in production, storage and transport...

In the last decade, there has been a great insertion of bots in several social media. Among the potentially harmful effects of these software agents, there are: the spread of computer viruses and different internet scams, and the spread of fake news, with emphasis on political-electoral and public health-related news. This work presents a new appro...

Background With the continuous spreading of SARS-CoV-2 globally, the probability for interactions between humans who are infected and wildlife tends to grow intensely, as well as the likelihood of viral spillover from humans to biodiversity. This aspect is of great concern for wildlife conservation and human health, because the list of highly susce...

Durante a pandemia de COVID-19, diversas formas de tratamento têm sido testadas por pesquisadores. Dentre elas, destaca-se a cloroquina, que ganhou grande repercussão após declarações favoráveis feitas pelos presidentes do Brasil e dos Estados Unidos. Com o objetivo de analisar a opinião pública a respeito da cloroquina, esta pesquisa tem como obje...

Epidemics have severe impacts on people's health. The COVID-19 has infected more than 3 million people in 3 months. In this work, we explore the use of unsupervised machine learning to evaluate and monitor the disease spread worldwide in three points in time: January, February, and March of 2020. Besides the features related to the disease spread,...

The COVID-19 pandemics will impact the demand for healthcare severely. It is essential to continually monitor and predict the expected number of new cases for each country. We explored the use of econometrics, machine learning, and ensemble models to predict the number of new cases per day for Brazil, China, Italy, and South Korea. These models can...

O atual formato de desenvolvimento humano gera severos impactos ambientais, os quais repercutem negativamente na saúde; dentre eles, a intensificação da transmissão de doenças infecciosas, epidemias e pandemias, como a Covid-19. A forma como lidamos com a biodiversidade e os ecossistemas, em conjunto com as mudanças climáticas, viabiliza interfaces...

The large volume of data generated on social networks is used by companies to monitor public opinion about their products and services. These data may contain useful information for health surveillance, such as in assessing the impact of public policies or identifying fake news. This work presents results of studies that demonstrate how analysis of...

Bots sociais são usuários automatizados que utilizam redes sociais e aplicativos de troca de mensagens para interagir com usuários reais. Estes bots podem servir para o compartilhamento de notí cias importantes, como informações sobre o clima ou situações de emergência. Porém, podem também ser utilizados com objetivos maliciosos, como a propagação...

Crop suitability evaluation plays an essential role on strategic planning for agricultural activities. Due to future climate change scenarios, there is a possibility that areas previously suitable for certain crops may become inadequate. The rules-based method used to evaluate crop suitability depends on costly field experiments. This paper propose...

In Water Resources area, data are obtained from various sources, such as measuring instruments and satellites. Often such data may contain patterns that are not easily identified, either because of the large volume of data sets or because the analysis requires the use of several data dimensions. In this way, this study proposes the application of m...

In Water Resources area, data are obtained from various sources, such as measuring instruments and satellites. Often such data may contain patterns that are not easily identified, either because of the large volume of data sets or because the analysis requires the use of several data dimensions. In this way, this study proposes the application of m...

The studies related to water resources have great relevance in many areas such as irrigation, water supply and power generation. The efficient use of these resources depends on many factors, like the correct estimation of certain variables related to the hydrological cycle, such as evapotranspiration. However, the most precise models currently appl...

The evaporation is defined as the sum of the evaporated water with the water transpired from the vegetation. It has great importance in irrigation, that represents 75% of global water consumption and, therefore, its estimate is crucial to better management of this resource. Currently, this estimate is made by mathematical methods, using data obtain...

With the growing volume of data in various areas such as Hydrology, there is a need for using information systems to aid in handling such data. This article is a report of an experiment that used knowledge discovery techniques to estimate an important component of the hydrological cycle: evapotranspiration. The experiment reported in this article w...

Com o crescimento do volume de dados em diversas áreas, como a Hidrologia, aumenta a necessidade do uso de sistemas de informação para auxílio na manipulação desses dados. Este artigo é um relato de um experimento que usou técnicas de descoberta de conhecimento para a estimativa de um importante componente do ciclo hidrológico: a evapotranspiração....

In times of big business competition, technology can be a very important tool for companies to get an advantage over their competitors. One example is a Radio-Frequency Identification (RFID) technology is getting more investments from companies around world. In Brazil, this technology is getting more investments from companies, universities and the...