key: cord-0979166-9dclvkt1 authors: Malta, Deborah Carvalho; de Azeredo Passos, Valéria Maria; Machado, Ísis Eloah; Marinho Souza, Maria de Fatima; Ribeiro, Antonio Luiz P. title: The GBD Brazil network: better information for health policy decision-making in Brazil date: 2020-09-30 journal: Popul Health Metr DOI: 10.1186/s12963-020-00224-1 sha: 4d2960fee9aebb1866f28d3e23fabd267ece0ccf doc_id: 979166 cord_uid: 9dclvkt1 nan researchers, health managers, and technicians from the Ministry of Health and the Health Departments. The aims of this Network are to provide methodological support and evaluate the estimates of the GBD study at national and subnational level, to evaluate and refine the GBD models, to produce evidence using GBD estimates, and to disseminate the culture of using data in decisionmaking processes related to health policy. The GBD Brazil Network conducted several initiatives, both in academia and in health services, to discuss Brazilian health issues and to disseminate tools and metrics developed by the GBD project. These capacity-building and dissemination activities involved face-to-face training and postgraduate courses, lectures, media releases, scientific workshops, and regular meetings of a scientific committee, with participation of researchers from several different Brazilian Institutions and ad hoc participation of researchers from the IHME. A web course in the Portuguese language on GBD methods is being developed to be launched later in 2020. Regarding the scientific production using GBD estimates, the GBD Brazil Network produced analysis that have resulted in the publication of two capstone papers [3, 4] . In 2017, the first set of articles from this group of researchers was published in a supplement to the Brazilian Journal of Epidemiology [2] . This second set of articles that is now being published in Population Health Metrics aims to further discuss and disseminate findings on the burden of disease in Brazil to the international academic and scientific community. In the current supplement, we used the GBD tools and metrics developed by to explore different health conditions and specific populations in Brazil and its federative units, from 1990 to 2017. These studies describe patterns and trends, as well as knowledge gaps and point to © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. The publication covers the life cycle of the Brazilian population, including an evaluation of inequalities in infant mortality and the burden of disease among older people. An emphasis was given to studies on chronic noncommunicable diseases, considering the recent epidemiological transition and including analyses on overall mortality from chronic diseases, and the disease burden of diabetes, hypertension, and breast cancer. Given the triple burden of disease, which continues to challenge the Brazilian health system, communicable diseases were not forgotten, with articles on tuberculosis and malaria. Violence by firearms, one of the main causes of death in the country, is also covered. There is also a comprehensive discussion on the impact of an integrated approach to risk factors for chronic noncommunicable diseases (obesity, physical activity, and smoking). The GBD Brazil network is continuously discussing with IHME, researchers, and analysts the accuracy and reliability of the estimates, and it also monitors data quality in the country. An article on vital statistics data and another on the quality of death certificate completion calls attention to the advances and challenges concerning vital statistics in Brazil. Finally, the article on health-related "Sustainable Development Goals (SDGs)" analyzes the indicators and trends of 41 health-related SDG indicators in Brazil and its States and covers regional inequalities, aiming to leave no one behind. Inequality and inequity have been hallmarks of Brazilian society; access to health care and basic sanitary services varies according to the socio-economical position, race/ skin color, and region. The creation, 30 years ago, of the Brazilian Unified Health System (SUS-from Portuguese Sistema Único de Saúde) and its expansion in the last three decades has allowed Brazil to rapidly address the changing population health needs, with dramatic upscaling of health service coverage. However, the situation has deteriorated in the last 4 years of economic crisis and political instability, especially due to the reduction of investments and expenditures in health. Indeed, fiscal policies implemented in 2016 ushered in austerity measures that, alongside the new environmental, educational, and health policies of the Brazilian government, could reverse the hard-earned achievements of the SUS and threaten its sustainability and ability to fulfil its constitutional mandate of providing health care for all [5] . At present, the consequences of the COVID-19 pandemic are worsened by the health policies of the Brazilian government [6] , leading to unpredictable and worrisome consequences for the health status of the Brazilian population, the health care system, and the Brazilian economy. Maintaining and expanding the GBD Brazil Network will assure that the impact of these changes is estimated and the burden estimates remain available for Brazil to guide decisions and health policies in the future. The GBD Brazil Network intends to use GBD data to provide decision-makers at the local, regional, and national levels with the best and most up-to-date evidence on trends and drivers of population health to support decisions and health policy. Providing sound scientific evidence for local managers is challenging due to data gaps, high variability, and the low quality of data from small municipalities. The importance of using models and assumptions for small numbers must be considered as well. Independent groups of researchers are vital in the analysis of country data, reflecting on current and future challenges, tracing trends, and analyzing the living and health conditions of the Brazilian population, from different perspectives. We are aware of the heterogeneity of the quantity and quality of secondary data among the different health conditions we address. Further research is needed, and we advocate for more resources, in Brazil, not only for health care, but also for research. Knowing the health status pattern and its trends in the last decades allows us to take a critical look at progress and what limits it in addressing disease burden. Improved health policies and a strengthened SUS are needed to build a fairer and more equitable society. Measuring global health: motivation and evolution of the Global Burden of Disease Study Burden of disease and health situation analysis: results of the Global Burden of Disease (GBD) Brazil network Cause-specific mortality for 249 causes in Brazil and states during 1990-2015: a systematic analysis for the global burden of disease study Burden of disease in Brazil, 1990-2016: a systematic subnational analysis for the Global Burden of Disease Study Brazil's unified health system: the first 30 years and prospects for the future COVID-19 in Brazil: "So what Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations All of the authors also acknowledge the contributions provided by the Ministry of Health staff through funding and data exchange with IHME. This article has been published as part of Population Health Metrics, Volume 18 Supplement 1, 2020: The GBD Brazil Network. The full contents of the supplement are available at https://pophealthmetrics.biomedcentral.com/ articles/supplements/volume-18-supplement-1.Authors' contributions DCM, VMSP, IEM, MSFM, and ALPR participated in the conception the work, revised it critically, and approved the version to be published. The authors declare that they have no competing interests.