A5035412894- Regional Economic and Spatial Analysis
- Maternal and Neonatal Healthcare
- Public Health in Brazil
- Socioeconomic and Demographic Analysis
- Health, Nursing, Elderly Care
- Global Public Health Policies and Epidemiology
- Global Maternal and Child Health
- Healthcare Systems and Reforms
- Malaria Research and Control
- COVID-19 Pandemic Impacts
- Mosquito-borne diseases and control
- Global Health Care Issues
- COVID-19 and Mental Health
- COVID-19 epidemiological studies
- Health disparities and outcomes
- Vaccine Coverage and Hesitancy
- Healthcare during COVID-19 Pandemic
- Data-Driven Disease Surveillance
- Geography and Environmental Studies
- Spatial and Panel Data Analysis
- Child Nutrition and Water Access
- Economic Growth and Productivity
- Anomaly Detection Techniques and Applications
- Regional Economics and Spatial Analysis
- Education during COVID-19 pandemic
Centre National de la Recherche Scientifique
2024
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
2024
Fundação Oswaldo Cruz
2019-2024
Université de Montpellier
2024
Laboratório Nacional de Computação Científica
2024
Research Centre Inria Sophia Antipolis - Méditerranée
2023
Institut national de recherche en informatique et en automatique
2023
Faculdades Oswaldo Cruz
2021-2023
Impact
2023
Lógica EM SA (Portugal)
2022
Political, economic, and epidemiological changes in Brazil have affected health the system. We used Global Burden of Disease Study 2016 (GBD 2016) results to understand changing patterns inform policy responses.
This study aimed to develop an algorithm for downloading and preprocessing microdata furnished by the Brazilian Health Informatics Department (DATASUS) various health information systems, using R statistical programming language. The package allows data from with inclusion of labeling categorical fields in files. download function was capable directly accessing reducing workload selection files variables DATASUS, while enabled automatic coding fields. thus enables a continuous workflow same...
Low polio vaccine coverage can result in the spread of Poliovirus to areas free from viral circulation. This study analyzed temporal trends and spatial distribution one year-old children Brazil, between 2011 2021.This was an ecological, time-series (2011 2021) with annual coverages against poliomyelitis, extracted Information System National Immunization Program 26 States Distrito Federal (DF). The percentage reductions vaccination Brazil Regions were calculated. Prais-Winsten regression...
Geographic accessibility to healthcare services is a fundamental component in achieving universal health coverage, the central commitment of Brazilian Unified Health System (SUS). For cancer patients, poor has been associated with inadequate treatment, worse prognosis, and poorer quality life.
Resumo Objetivo: Analisar a adesão da população às medidas de restrição contato físico e disseminação COVID-19 no Brasil. Métodos: Inquérito saúde, realizado pela internet, com amostragem em cadeia, período 24 abril maio 2020. A intensidade à foi analisada segundo características sociodemográficas, utilizando-se modelos regressão logística para investigar associações 'Nenhuma/pouca adesão'. Resultados: Dos 45.161 participantes, 74,2% (73,8-74,6%) relataram intensa medidas. O grupo que não...
Cross-border malaria is a significant obstacle to achieving control and elimination worldwide.This study aimed build cross-border surveillance system that can make comparable qualified data available all parties involved in between French Guiana Brazil.Data reconciliation rules based on expert knowledge were defined applied the heterogeneous provided by existing systems of both countries. Visualization dashboards designed facilitate progressive exploration, analysis, interpretation....
Abstract Background In 2017, inhabitants along the border between French Guiana and Brazil were affected by a malaria outbreak primarily due to Plasmodium vivax ( Pv ). While cases have steadily declined 2005 2016 in this Amazonian region, resurgence was observed 2017. Methods Two investigations performed according different spatial scales information details: (1) local study on border, which enabled thorough investigation of treated at village health center entomological circumstances most...
Resumo: Este estudo busca analisar o fluxo de pacientes oncológicos mama que são atendidos fora seu domicílio residência. Foram considerados as internações hospitalares e os tratamentos por quimioterapia radioterapia para neoplasias malignas na mama, no âmbito do Sistema Único Saúde, entre anos 2014 2016. Foi empregado método análise redes, considerando município residência tratamento como nós um grafo, consiste em “estudo redes organizacionais sistemas saúde”. Além disso, distância tempo...
Abstract Climate trends and weather indicators are used in several research fields due to their importance statistical modeling, frequently as covariates. Usually, climate available grid files with different spatial time resolutions. The availability of a series compatible administrative boundaries is scattered Brazil, not fully for years, produced diverse methodologies. In this paper, we propose the Brazilian municipalities using zonal statistics derived from ERA5-Land reanalysis...
This study addressed health regionalization on various spatial scales based patient flow. The article analyzed data through linkage the origin and destination of admissions at municipal level in Brazil 2016. analysis is graph theory uses a modularity algorithm that seeks to group municipalities communities with large number interlinks. optimizes hospital discharges, taking flow into account. results are shown, considering different political administrative structures. Considering without...
Resumo Introdução O letramento funcional em saúde (LFS) diz respeito à habilidade dos indivíduos compreender as informações relacionadas e está relacionado a diversos desfechos de saúde. Objetivo Investigar associação do LFS com fatores sociodemográficos, apoio social, autoavaliação estado perfil acesso aos serviços mulheres assistidas pela Estratégia Saúde da Família (ESF). Método Estudo transversal, conduzido 2015-2016, duas Unidades Atenção Primária cobertas ESF, um município região...
Abstract The COVID-19 pandemic had a significant impact on the living and working conditions of entire population Brazil, having different more intense effect groups considered to be vulnerable. objective this article is present an overview evolution in country according bulletins Covid-19 Fiocruz Observatory period between declarations beginning end Public Health Emergency National Concern (ESPIN, Portuguese), February 2020 April 2022. Several indicators adopted 69 published for analysis...
Our objective is to describe the differences in sampling plans of two editions Brazilian National Health Survey (PNS 2013 and 2019) evaluate how changes affected coefficient variation (CV) design effect (Deff) some estimated indicators. Variables from different parts questionnaire were analyzed cover proportions with magnitudes. The prevalence obesity was included analysis since anthropometry measurement 2019 survey performed a subsample. value point estimate, CV, Deff calculated for each...
Abstract Background In 2017, inhabitants along the border between French Guiana and Brazil were affected by a malaria outbreak primarily due to Plasmodium vivax ( Pv ). While cases have steadily declined 2005-2016 in this Amazonian region, resurgence was observed 2017. Methods Two investigations performed according two different spatial scales type of information details. Firstly, local study on border, which enabled thorough investigation treated at village health center entomological...
The success of machine learning (ML) systems depends on data availability, volume, quality, and efficient computing resources. A challenge in this context is to reduce computational costs while maintaining adequate accuracy the models. This paper presents a framework address challenge. idea identify “subdomains” within input space, train local models that produce better predictions for samples from specific subdomain, instead training single global model full dataset. We experimentally...
Abstract Objectives Neonatal mortality is a global public health problem, and the efforts to reduce child one of goals 2030 Agenda for Sustainable Development, launched in 2015 by United Nations. The availability historical neonatal rates (NMR) data Brazilian municipalities crucial evaluate trends at local, regional national level, identifying gaps vulnerable territories. Therefore, objective this article offer an integrated dataset containing monthly series from 1996 2017 with information...
INTRODUCTION: Monitoring coronavirus disease (COVID-19)-related infections and deaths in Brazil is controversial, with increasing pressure to ease social distance measures. However, no evidence of a sustained, widespread fall cases exists. METHODS We used segmented (joinpoint) regression analysis describe the behavior COVID-19 Brazilian capital cities. RESULTS All capitals showed an exponential or near-exponential increase through May. A decline reported was subsequently noted 20 cities but...
Abstract Objectives This article presents the process of extraction and treatment two datasets from General Ombudsman Brazilian Unified Health System (OUVSUS). The resulting allow analysis manifestation characteristics sociodemographic profile citizens that performed these manifestations. Data description first dataset depicts manifestations registered by Ombudsman. Each row represents an individual contains information such as registration date, classification, input channel, subject, among...
Abstract Objective : Hospital admissions data is an important source of information for health surveillance and policy makers. The Brazilian Health Ministry offers access to this in scattered files using a legacy format, justifying the effort work present unique, coherent comprehensible format infrastructure, suitable its big dimension importance. Data Description produced dataset covers hospital Universal System as whole, keeping characteristics original additional new variables with...
Abstract Background Despite contemporaneous declines in neonatal mortality, recent studies show the existence of left-behind populations that continue to have higher mortality rates than national averages. Additionally, many these deaths are from preventable causes. This reality creates need for more precise methods identify high-risk births so policymakers can precisely target them. study fills this gap by developing unbiased machine-learning approaches accurately with a high risk Methods...