Benjamin Miranda Tabak
Biographic Data
| ID | 2109014 |
|---|---|
| NAME | Benjamin Miranda Tabak |
| GIVEN NAMES | Benjamin Miranda |
| FAMILY NAME | Tabak |
| SIGNATURE | TABAK B M |
| AFFILIATIONS | Fundação Getulio Vargas |
| ORCID | 0000-0002-7935-3188 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Cash transfer programs: A review of comparative evidence using textometry
This study analyzes the discourse and communication strategies of cash transfer programs in Brazil, Mexico, India, and South Africa, using lexicometric analysis to identify structural differences and policy objectives. First, we provide a brief historical review of each program and present comparative tables highlighting their specific features. Then, we conduct a text mining analysis using the free software Iramuteq, which facilitates lexicometr…
Mapping the Landscape of Environmental Health Literacy: Trends, Gaps, and Future Directions
Environmental Health Literacy (EHL) empowers individuals and communities to understand and make informed decisions about health and the environment. This study uses bibliometric indicators to map the field, identifying patterns, emerging trends, and gaps that offer opportunities for future research. We analyze 152 articles from PubMed, Scopus, and Web of Science databases. The first publication was recorded in 2012, and there was a significant in…
Assessing health literacy and digital health literacy: Evidence from Brazil’s Distrito Federal
Health literacy (HL) is essential for the population to be able to find, understand, and effectively use health information and services, which has an impact on adherence to treatments and preventive care. This study aims to analyze the association between sociodemographic factors and the dimensions of the HL Questionnaire (HLQ), including digital HL. We surveyed 828 adults employing the HLQ and the eHL Scale (eHEALS). Using regression models, we…
Predicting health literacy in Brazil: A machine learning approach
Health literacy is essential for promoting well-being and the ability to make informed decisions. We investigated the level of health literacy in Brazil and identified the predictive factors that influence it. Our data contribute to the international context, with a focus on countries in the Global South and, in particular, Latin America. By analyzing health literacy in Brazil, this study sheds light on the challenges faced by populations with si…
Influence of physical exercise on health improvement in older adult cancer patients: A systematic review
Environmental Health Literacy of Brazilian Indigenous People
Environmental health literacy (EHL) is essential for individuals to protect themselves from environmental health risks. Indigenous populations are particularly vulnerable to these risks, given the historical threats they have suffered from the advance of agricultural frontiers and impacts of deforestation, mining, and extreme weather events. This study investigates the dimensions of EHL among indigenous communities in Brazil, considering the scar…
A short mental health literacy scale: Validation and application in Brazil
The Brazilian adaptation of the MHLS has been effective in gauging mental health literacy levels among Brazilians. Future efforts to enhance mental health literacy should focus on middle-aged people with lower education levels who utilize public services
Public Telemedicine Policy in Brazilian Unified Health System: An Impact Analysis
There are several difficulties in evaluating interventions seeking to promote public health policies. In this article, we analyzed the promotion of the use of telemedicine during COVID-19 in Brazil. Using the random promotion method with instrumental variables, we showed that the policy of promoting telemedicine was adequate, with intense use of this type of care. Our results showed that telemedicine works if it is encouraged in the population. W…
Mental health literacy for public employees
To address MHL challenges, educational actions such as awareness campaigns, training, and consultancy programs are essential
Pro-environmental behavior and its determinants: Evidence for Mato Grosso do Sul
This article investigates the importance of individual characteristics, including a proxy for testosterone levels (using the biological marker 2D:4D ratio as proxy), to explain students' pro-environmental behavior. We employ machine learning modeling from artificial neural networks. We elaborate an environmental score based on 13 questions related to the environmental impact generated by the individuals. We analyzed which profile variables are mo…
Tourism and the economy: Evidence from Brazil
We explore a discontinuity in the incentives created by the Brazilian Tourism Regionalization Program. We employ a research discontinuity design, focussing on municipalities in the transitions between two classes. We observe significant effects of the Program in tourist cities, including an increase in the value-added of services and per capita GDP. Additionally, we find that the value-added in industrial activities increases, implying a spillove…
The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation
In recent decades, health literacy has garnered increasing attention alongside a variety of public health topics. This study aims to explore trends in this area through a bibliometric analysis. A Random Forest Model was utilized to identify keywords and other metadata that predict average citations in the field. To supplement this machine learning analysis, we have also implemented a bibliometric review of the corpus. Our findings reveal signific…
Analysis of the Effectiveness of Public Health Measures on Covid-19 Transmission
In this study, we investigate the COVID-19 epidemics in Brazilian cities, using early-time approximations of the SIR model in networks and combining the VAR (vector autoregressive) model with machine learning techniques. Different from other works, the underlying network was constructed by inputting real-world data on local COVID-19 cases reported by Brazilian cities into a regularized VAR model. This model estimates directional COVID-19 transmis…
Indirect and direct effects of the subprime crisis on the real sector: Labor market migration
No prominent works on this page.
Indirect and direct effects of the subprime crisis on the real sector: Labor market migration
Tourism and the economy: Evidence from Brazil
We explore a discontinuity in the incentives created by the Brazilian Tourism Regionalization Program. We employ a research discontinuity design, focussing on municipalities in the transitions between two classes. We observe significant effects of the Program in tourist cities, including an increase in the value-added of services and per capita GDP. Additionally, we find that the value-added in industrial activities increases, implying a spillove…
The Intersection of Health Literacy and Public Health: A Machine Learning-Enhanced Bibliometric Investigation
In recent decades, health literacy has garnered increasing attention alongside a variety of public health topics. This study aims to explore trends in this area through a bibliometric analysis. A Random Forest Model was utilized to identify keywords and other metadata that predict average citations in the field. To supplement this machine learning analysis, we have also implemented a bibliometric review of the corpus. Our findings reveal signific…
Analysis of the Effectiveness of Public Health Measures on Covid-19 Transmission
In this study, we investigate the COVID-19 epidemics in Brazilian cities, using early-time approximations of the SIR model in networks and combining the VAR (vector autoregressive) model with machine learning techniques. Different from other works, the underlying network was constructed by inputting real-world data on local COVID-19 cases reported by Brazilian cities into a regularized VAR model. This model estimates directional COVID-19 transmis…
Public Telemedicine Policy in Brazilian Unified Health System: An Impact Analysis
There are several difficulties in evaluating interventions seeking to promote public health policies. In this article, we analyzed the promotion of the use of telemedicine during COVID-19 in Brazil. Using the random promotion method with instrumental variables, we showed that the policy of promoting telemedicine was adequate, with intense use of this type of care. Our results showed that telemedicine works if it is encouraged in the population. W…
Mental health literacy for public employees
To address MHL challenges, educational actions such as awareness campaigns, training, and consultancy programs are essential
Pro-environmental behavior and its determinants: Evidence for Mato Grosso do Sul
This article investigates the importance of individual characteristics, including a proxy for testosterone levels (using the biological marker 2D:4D ratio as proxy), to explain students' pro-environmental behavior. We employ machine learning modeling from artificial neural networks. We elaborate an environmental score based on 13 questions related to the environmental impact generated by the individuals. We analyzed which profile variables are mo…
Assessing health literacy and digital health literacy: Evidence from Brazil’s Distrito Federal
Health literacy (HL) is essential for the population to be able to find, understand, and effectively use health information and services, which has an impact on adherence to treatments and preventive care. This study aims to analyze the association between sociodemographic factors and the dimensions of the HL Questionnaire (HLQ), including digital HL. We surveyed 828 adults employing the HLQ and the eHL Scale (eHEALS). Using regression models, we…
Predicting health literacy in Brazil: A machine learning approach
Health literacy is essential for promoting well-being and the ability to make informed decisions. We investigated the level of health literacy in Brazil and identified the predictive factors that influence it. Our data contribute to the international context, with a focus on countries in the Global South and, in particular, Latin America. By analyzing health literacy in Brazil, this study sheds light on the challenges faced by populations with si…
Influence of physical exercise on health improvement in older adult cancer patients: A systematic review
Environmental Health Literacy of Brazilian Indigenous People
Environmental health literacy (EHL) is essential for individuals to protect themselves from environmental health risks. Indigenous populations are particularly vulnerable to these risks, given the historical threats they have suffered from the advance of agricultural frontiers and impacts of deforestation, mining, and extreme weather events. This study investigates the dimensions of EHL among indigenous communities in Brazil, considering the scar…
A short mental health literacy scale: Validation and application in Brazil
The Brazilian adaptation of the MHLS has been effective in gauging mental health literacy levels among Brazilians. Future efforts to enhance mental health literacy should focus on middle-aged people with lower education levels who utilize public services
Cash transfer programs: A review of comparative evidence using textometry
This study analyzes the discourse and communication strategies of cash transfer programs in Brazil, Mexico, India, and South Africa, using lexicometric analysis to identify structural differences and policy objectives. First, we provide a brief historical review of each program and present comparative tables highlighting their specific features. Then, we conduct a text mining analysis using the free software Iramuteq, which facilitates lexicometr…
Mapping the Landscape of Environmental Health Literacy: Trends, Gaps, and Future Directions
Environmental Health Literacy (EHL) empowers individuals and communities to understand and make informed decisions about health and the environment. This study uses bibliometric indicators to map the field, identifying patterns, emerging trends, and gaps that offer opportunities for future research. We analyze 152 articles from PubMed, Scopus, and Web of Science databases. The first publication was recorded in 2012, and there was a significant in…
Public health (8 works) · Health literacy (7 works) · Medicine (7 works) · Environmental health (6 works) · Health care (6 works) · Geography (5 works) · Literacy (5 works) · Nursing (5 works) · Economics (4 works) · Health Literacy and Information Accessibility (4 works)