Domingos Alves

Domingos Alves
University of São Paulo | USP · Departamento de Medicina Social (Ribeirão Preto)

PhD

About

225
Publications
46,267
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820
Citations
Introduction
He holds a degree in Physics from the State University of Campinas (1986), a Master's degree in Physics from the State University of Campinas (1993), a PhD in Physics from the University of São Paulo (1999), two postdoctoral fellowships from the University of São Paulo Physics of São Carlos (2000) and one by the Faculty of Pharmaceutical Sciences of Ribeirão Preto (2001). He is currently associate professor in the Department of Social Medicine at the Medical School of Ribeirão Preto, USP. He also works as a Collaborating Professor at the Center for Health Techology and Services Research (CINTESIS), Faculty of Medicine, University of Porto. He is the leader of the "Health Intelligence Laboratory" (LIS) registered and certified in the CNPq group directory.
Additional affiliations
November 2006 - October 2015
University of São Paulo
Position
  • Principal Investigator
January 2004 - October 2010
Universidade Federal de São Paulo
Position
  • Professor (Assistant)
January 2004 - November 2006
Universidade Católica de Santos
Position
  • Professor (Assistant)

Publications

Publications (225)
Article
Full-text available
The Brazilian Policy of Comprehensive Care for People with Rare Diseases (BPCCPRD) was established by the Ministry of Health to reduce morbidity and mortality and improve the quality of life of people with rare diseases (RD). Several laboratory tests, most using molecular genetic technologies, have been incorporated by the Brazilian Public Health S...
Article
Objective: to propose Mental Health Indicators aimed at management of the Mental Health Care Network, starting with convergence of their use, in countries with public health organization. Method: an exploratory analysis of the indicators adopted and used in these countries, from the detailed analysis of their respective normative documents, conside...
Chapter
Unlike the primary condition under investigation, the term comorbidities define coexisting medical conditions that influence patient care during detection, therapy, and outcome. Tuberculosis continues to be one of the 10 leading causes of death globally. The aim of the study is to present the exploration of classic data mining techniques to find re...
Chapter
According to the World Health Organization, rare diseases currently represent a global public health priority. Although it has a low prevalence in the general population, this type of condition collectively affects up to 10% of the entire world population. Therefore, these pathologies are numerous and of a diverse nature, and some factors imply sig...
Preprint
Decision-making and strategies to improve service delivery need to be supported by reliable health data to generate consistent evidence on health status, so the data quality management process must ensure the reliability of the data collected. Thus, through an integrative literature review, the main objective of this work is to identify and evaluat...
Article
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Background: Non-compliance with latent tuberculosis infection (LTBI) treatment is a reality. The objective of this study was to develop and validate an mobile device application for monitoring the treatment of LTBI. Methods: We defined the requirements, elaborated on the application's conceptual map, generated implementation and prototyping alte...
Article
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Extracting information and discovering patterns from a massive dataset is a hard task. In an epidemic scenario, this data has to be integrated providing organization, agility, transparency and, above all, it has to be free of any type of censorship or bias. The aim of this paper is to analyze how coronavirus contamination has evolved in Brazil appl...
Article
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Tuberculosis (TB) is a bacterial infectious disease that mainly affects the lungs and remains as one of the biggest public health problems in the world. The treatment methods currently available can cure almost all cases. Due to the difficulty of bacteriological confirmation of TB in children, the Brazilian Ministry of Health recommended the use of...
Article
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Brazil is a large developing country that requires attention to regionalized behaviors regarding the dissemination of COVID-19. To deal with this complexity, the COVID-19 Brazil observatory was developed. The Portal aims to monitor and analyze data from different sources. Therefore, with a detailed audit, we centralized this information on the evol...
Article
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According to the World Health Organization (WHO), latent tuberculosis occurs through latent infection by Mycobacterium tuberculosis without evidence of active tuberculosis (TB) symptoms. As patients don’t develop the same symptoms as active TB, the treatment is abandoned before the end, as it lasts about six months. This leads to significant treatm...
Article
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We aim to present the use and viability of mental health indicators at a Brazilian reference psychiatric hospital. We elaborated a Business Process Model and Notation based model of the patients’ hospitalization process based on semi-structured interviews with managers and professionals of the hospital. We analyzed the model and selected a set of 6...
Article
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Tuberculosis is an infectious disease that is among the top 10 causes of death in the world and Brazil ranks in the top 30 high TB burden countries. In this scenario, data integration and sharing are crucial to the construction of efficient and effective evidence-based decision-making tools and to enable data-driven research. Through a socio-techni...
Article
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The Minimum Data Set (MDS) can be used for subsidiarity decision-making and health planning. Besides, this strategy allows to identify obligatory points that must be adjusted to achieve sustainable management in the planning and development of relevant Health Information Systems for public health. Specifically, in the context of rare diseases, the...
Article
Resumen Objetivo: proponer indicadores de salud mental para la gestión de la Red de Atención en Salud Mental, a partir de la convergencia de uso en países con organización pública de salud. Método: análisis exploratorio de los indicadores que adoptan y utilizan estos países, a partir del análisis detallado de sus respectivos documentos normativos,...
Article
Objective: to propose Mental Health Indicators aimed at management of the Mental Health Care Network, starting with convergence of their use, in countries with public health organization. Method: an exploratory analysis of the indicators adopted and used in these countries, from the detailed analysis of their respective normative documents, cons...
Preprint
Full-text available
The outcomes of a clinical research directly depend on the correct definition of the research protocol, the data collection strategy and the data management plan. Furthermore, researchers often need to work within challenging contexts, such as in Tuberculosis services, where human and technological resources for research may be rare. The use of Ele...
Article
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Pages: 526-541 Resumo: Este estudo teve como objetivo investigar e analisar as emoções do público frente aos eventos relacionados ao coronavírus no Brasil. A ciência de dados pode ajudar a explicar os fatos e reduzir o ruído que interfere na compreensão do real impacto de surtos virais em nossas vidas. A rede social Twitter foi analisada para verif...
Article
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One of the critical challenges in health information systems is interoperability. The clinical, strategic, and operational decision depends on quality data and the ability to exchange data inter-systems and inter-health organizations. The Semantic Web plays a cornerstone role as a technology to enable functional and semantic interoperability withou...
Chapter
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Background: Intensified research and innovation and rapid uptake of new tools, interventions, and strategies are crucial to fight Tuberculosis, the world's deadliest infectious disease. The sharing of health data remains a significant challenge. Data consumers must be able to verify the consistency and integrity of data. Solutions based on distrib...
Preprint
Full-text available
Background: The outcomes of a clinical research directly depend on the correct definition of the research protocol, the data collection strategy and the data management plan. Furthermore, researchers often need to work within challenging contexts, such as in Tuberculosis services, where human and technological resources for research may be rare. Th...
Article
Background Tuberculosis (TB) is an infectious disease and is among the top 10 causes of death in the world, and Brazil is part of the top 30 high TB burden countries. Data collection is an essential practice in health studies, and the adoption of electronic data capture (EDC) systems can positively increase the experience of data acquisition and an...
Article
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Objective: to identify indicators that can be used in the management of Mental Health Services. Method: an integrative review in which we adopted the Population, Concept, and Context strategy to formulate the following Guiding Question: “Which indicators can be used for the management of mental health services?”. Results: a total of 22 articles w...
Article
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Background: A rare disease is a medical condition with low prevalence in the general population, but these can collectively affect up to 10% of the population. Thus, rare diseases have a significant impact on the health care system, and health professionals must be familiar with their diagnosis, management, and treatment. Objective: This paper aim...
Article
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Line Probe Assay (LPA) is a rapid molecular technique used for the diagnosis of Mycobacterium Tuberculosis (MTB) presence and resistance to first-line drugs such as Rifampicin and Isoniazid. The study presented here is part of an initiative of the Brazilian Tuberculosis Network (REDE-TB) researchers, together with the National Brazilian Tuberculosi...
Article
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Although assessing quality in the health field is a prominent challenge, there is unanimity among managers that it is necessary to select appropriate assessment systems and methods to assist the administration of services and provide decision-making with the least degree of uncertainty possible. Lean, also known as lean philosophy, is a management...
Article
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Introduction: Five months after the first confirmed case of COVID-19 in Brazil, the country has the second highest number of cases in the world. Without any scientifically proven drug or vaccine available combined with COVID-19's high transmissivity, slowing down the spread of the infection is a challenge. In an attempt to save the economy, the Bra...
Preprint
BACKGROUND A rare disease is a medical condition with low prevalence in the general population, but that collectively can affect up to 10% of the population. Thus, rare diseases have a significant impact on the healthcare system, and health professionals must be familiar with the diagnosis, management, and treatment. OBJECTIVE To provide health in...
Preprint
Full-text available
After four months of dealing with the pandemic, the city of Sao Paulo entered a phase of relaxed social-distancing measures in July 2020, and saw its social isolation rate fall at the same time as the number of cases, deaths, and hospital bed occupation declined. We use a calibrated multi-agent model to describe these dynamics. We assert here that...
Article
Introdução: O ensino na área da saúde, geralmente, ocorre na forma tradicional. O advento das Tecnologias Digitais de Informação e Comunicação tornou-se um meio de transformação do processo de ensino e aprendizagem. Este estudo descreve as publicações sobre o uso de tecnologias digitais no ensino de Parasitologia. Métodos: Revisão bibliográfica int...
Article
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Background: Interoperability of health information systems is a challenge due to the heterogeneity of existing systems at both the technological and semantic levels of their data. The lack of existing data about interoperability disrupts intra-unit and inter-unit medical operations as well as creates challenges in conducting studies on existing dat...
Chapter
One of the purposes of public health databases is to serve as repositories for storing information regarding the treatment of patients. TBWEB (TuBerculose WEB) is an epidemiological surveillance system for tuberculosis cases in the state of São Paulo, Brazil. This paper proposes an analysis of the TBWEB database with the use of clinical pathways mo...
Chapter
Tuberculosis (TB), is an ancient disease that probably affects humans since pre-hominids. This disease is caused by bacteria belonging to the mycobacterium tuberculosis complex and usually affects the lungs in up to 67% of cases. In 2019, there were estimated to be over 10 million tuberculosis cases in the world, in the same year TB was between the...
Chapter
According to the World Health Organization (WHO), mental and behavioral disorders are increasingly common and currently affect on average 1/4 of the world’s population at some point in their lives, economically impacting communities and generating a high social cost that involves human and technological resources. Among these problems, in Brazil, t...
Article
Background Tuberculosis is the leading cause of infectious disease-related death, surpassing even the immunodeficiency virus. Treatment loss to follow up and irregular medication use contribute to persistent morbidity and mortality. This increases bacillus drug resistance and has a negative impact on disease control. Objective This study aims to d...
Article
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Background A systematic review, including 203 studies, estimated that people with mental disorders have a mortality rate 2.2 times higher than the general population or control samples; the majority of these studies were conducted in developed countries. A possibility that underlies this excess mortality is that mental disorders increase the risk f...
Article
The proliferation of electronic health (e-Health) initiatives in Brazil over the last 2 decades has resulted in a considerable fragmentation within health information technology (IT), with a strong political interference. The problem regarding this issue became twofold: 1) there are considerable flaws regarding interoperability and security involvi...
Article
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Objetivo: Construir cenários e analisar o impacto das políticas de distanciamento social na propagação da COVID-19 e a necessidade de leitos de unidades de terapia intensiva (UTI). Métodos: Sobre modelo compartimental de transição dinâmica e simulações de Monte Carlo, construíram-se três cenários de propagação conforme o nível de adesão às medidas...
Article
Background: Interoperability of health information systems is a challenge due to the heterogeneity of existing systems at both the technological and semantic levels of their data. The lack of existing data about interoperability disrupts intra-unit and inter-unit medical operations as well as creates challenges in conducting studies on existing da...
Preprint
BACKGROUND Interoperability of health information systems is a challenge due to the heterogeneity of existing systems at both the technological and semantic levels of their data. The lack of existing data about interoperability disrupts intra-unit and inter-unit medical operations as well as creates challenges in conducting studies on existing data...
Conference Paper
Full-text available
Tuberculosis is an important cause of death worldwide. When properly treated, tuberculosis is curable in almost all cases. If left untreated, can be fatal in 5 years in 50 to 65% of the cases. For many countries, the "end" of tuberculosis as an epidemic and major public health problem is still a distant reality. In 2014 and 2015, all Member States...
Conference Paper
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Mental and behavioral disorders represent a considerable portion of health problems worldwide. The social burden of these disorders is immense, generating high costs of human and technological resources. Furthermore, managers need to interpret data from dispersed and non-integrated databases, which hinders the use of information to generate quality...
Article
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Background: The healthcare system can be understood as the dynamic result of the interaction of hospitals, patients, providers, and government configuring a complex network of reciprocal influences. In order to better understand such a complex system, the analysis must include characteristics that are feasible to be studied in order to redesign it...
Article
Evidence regarding quality indicators in primary health care is a major need for better mental health management, monitoring and decision-making. In this paper, we compared two methods of retrieving quality indicators for mental health in primary care by means of an umbrella review, that included eight systematic reviews, and of grey literature. Fr...
Article
Mental health indicators are essential for monitoring people’s mental health status, developing mental health policies, and evaluating the performance of such policies. The aim of this paper is to describe the development of a web-based tool for mental health indicators capable to support the management of Brazilian mental health care networks. The...
Article
Full-text available
Tuberculosis (TB) represents a global challenge in terms of prevention, care and control. Decision support systems (DSS) can supply the necessary knowledge basis to underpin investigators, policy makers and health personnel actions and to provide crucial elements that can help reducing TB burden. Thus, the objectives of this work are to present the...
Article
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Data sharing, information exchange, knowledge acquisition and health intelligence are the basis of an efficient and effective evidence-based decision-making tool. A decentralized blockchain architecture is a flexible solution that can be adapted to institutional and managerial culture of organizations and services. Blockchain can play a fundamental...
Article
Background: The All Patient-Refined Diagnosis-Related Groups (APR-DRGs) system has adjusted the basic DRG structure by incorporating four severity of illness (SOI) levels, which are used for determining hospital payment. A comprehensive report of all relevant diagnoses, namely the patient's underlying co-morbidities, is a key factor for ensuring t...
Article
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This article presents a computational tool that calculates the risk of death, based on the study of comorbidity. The data represent patients hospitalized in general hospitals of the region of Ribeirao Preto, Brazil. The risk of death was estimated by calculating the Charlson comorbidity index (CCI) and age-adjusted Charlson comorbidity index (ACCI)...
Article
Full-text available
Although tuberculosis is a curable disease and, in most cases, with low cost drugs, its mortality still is a global concern. This facts turns our attention to management issues and the difficulties related to retrieving data of interest that are powdered on many applications. This work presents a semantic web approach to achieve functional and sema...
Article
Full-text available
Epidemiological surveillance of Tuberculosis (TB) requires a strong integration of different health services, programs and levels of care. The deepening and broadening of data management techniques must be constantly carried out to increase the integrality of healthcare. Otherwise, knowledge extraction and clinical and administrative decision-makin...
Article
Full-text available
Tuberculosis (TB) was responsible for approximately 1.6 million deaths in 2017 and it is the deadliest among the infectious diseases, killing more than Acquired Immunodeficiency Syndrome (AIDS) related diseases. One of the most lethal forms of this disease is the central nervous system TB. The clinical and microbiological diagnosis of tuberculous m...
Article
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Tuberculosis (TB) is a curable disease, although it still kills thousands of people every year. There are several information systems and applications developed to assist the TB treatment, but many of these systems are isolated and are not able to exchange relevant information. In this way, a set of interoperable applications and decision support m...
Article
Full-text available
Tuberculosis (TB) is an infectious-contagious disease that affects mainly the lungs, ranking in the 10 main causes of death in the world. Non-adherence or non-treatment of TB may prolong transmissibility, increase the risk of drug resistance and lead to patient death. One step forward is the use of smartphones for monitoring the medication intake v...
Chapter
Healthcare software evaluation is a complex process. Specifically, in the health information systems, focusing on the patients' health and on the healthcare professionals' motivation is particularly important. Doctors, nurses, and other healthcare professionals use software that indirectly affects the patients. Does software improve the patients' h...
Conference Paper
Full-text available
The treatment of tuberculosis, an infectious disease caused by the Mycobacterium tuberculosis bacillus, lasts in most of the cases at least 6 months but, in cases of multidrug-resistant TB, the minimum duration is 2 years. Many patients usually face significant challenges in taking daily medication, which requires professional supervision (directly...
Conference Paper
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Tuberculosis (TB) is a serious health problem in Brazil and in the world, affecting mainly developing countries. In order to improve this situation, we still need research that looks at operational points of view on the treatment of the disease and that contemplates changes and improvements in the technologies used. This article aims to describe th...
Conference Paper
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This article presents a mobile-based expert system for drug interaction analysis in order to support the professionals of health area and to reduce the possibility of errors in prescription of these drugs. The rules of drug interactions were based on the RXNorm web platform, developed by the US National Library of Medicine. The Intermed app has two...
Conference Paper
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Congenital anomaly (CA) is caused by morphological and/or functional changes in embryonic or fetal development. Some authors affirm that in Brazil they are the second cause of infant mortality, with 11.
Article
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Mental illness represent a large part of public health problems worldwide. Additionally, mental health managers need to make decisions based on complex data from dispersed sources with low levels of standardization and integration. This generally hinders knowledge extraction and its use as a reference to provide useful indicators and reports for ef...
Article
Full-text available
Introduction. Health Observatories have gained global popularity and have been established worldwide since the 1970s. With the advent of the Semantic Web, machines can process, reuse, integrate and understand the meaning (semantics) of the information and knowledge on the World Wide Web to perform complex tasks. Objective. To propose a health obser...