Everton Emanuel Campos de Lima
State University of Campinas
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Publication
Featured researches published by Everton Emanuel Campos de Lima.
Cadernos De Saude Publica | 2014
Everton Emanuel Campos de Lima; Bernardo Lanza Queiroz
This paper examines the spatial pattern of ill-defined causes of death across Brazilian regions, and its relationship with the evolution of completeness of the deaths registry and changes in the mortality age profile. We make use of the Brazilian Health Informatics Department mortality database and population censuses from 1980 to 2010. We applied demographic methods to evaluate the quality of mortality data for 137 small areas and correct for under-registration of death counts when necessary. The second part of the analysis uses linear regression models to investigate the relationship between, on the one hand, changes in death counts coverage and age profile of mortality, and on the other, changes in the reporting of ill-defined causes of death. The completeness of death counts coverage increases from about 80% in 1980-1991 to over 95% in 2000-2010 at the same time the percentage of ill-defined causes of deaths reduced about 53% in the country. The analysis suggests that the governments efforts to improve data quality are proving successful, and they will allow for a better understanding of the dynamics of health and the mortality transition.
Revista Brasileira De Epidemiologia | 2017
Bernardo Lanza Queiroz; Flávio Henrique Miranda de Araújo Freire; Marcos Roberto Gonzaga; Everton Emanuel Campos de Lima
Objective: Assess the completeness of the DataSUS SIM death-count registry, by sex and Brazilian state, and estimate the probability of adult mortality (45q15), by sex and state, from 1980 to 2010. Methods: The study was based on mortality data obtained in the DataSUS Mortality Information System, from 1980 to 2010, and on population data from the 1980, 1991, 2000, and 2010 demographic censuses. The quality assessment of the registry data was conducted using traditional demographic and death distribution methods, and death probabilities were calculated using life-table concepts. Results: The results show a considerable improvement in the completeness of the death-count coverage in Brazil since 1980. In the southeast and south, we observed the complete coverage of the adult mortality registry, which did not occur in the previous decade. In the northeast and north, there were still places with a low coverage from 2000 to 2010, although there was a clear improvement in the quality of data. For all Brazilian states, there was a decline in the probability of adult mortality; we observed, however, that the death probability for males is much higher than that for females throughout the whole analysis period. Conclusion: The observed improvements seem to be related to investments in the public health care system and administrative procedures to improve the recording of vital events.
Genus | 2018
Everton Emanuel Campos de Lima; Bernardo Lanza Queiroz; Kryštof Zeman
We provide an analysis of the main sources of data used to estimate fertility schedules in developing countries, giving special attention to Brazil. In addition to the brief history of various data sources, we present several indirect demographic methods, commonly used to estimate fertility and assess the quality of data. From the methods used, the Synthetic Relational Gompertz model gives the most robust estimates of fertility, independent of the data source considered. We conclude that different demographic data sources and methods generate differing estimates of fertility and that the country should invest in quality of birth statistics.
Ecology and Society | 2018
Douglas Sathler; Susana B. Adamo; Everton Emanuel Campos de Lima
We focus here on deforestation and human development dynamics among 211 small and medium-sized municipalities (in terms of population) in the Amazonian arc of deforestation, Brazil. First, we construct a typology of municipalities through principal component analysis and cluster analysis. Using this typology, we seek to identify changing deforestation frontiers in the study area based not only on forest loss levels, but also on sets of socioeconomic and demographic elements associated with human development. We find four well-defined macro-deforestation frontiers that exhibit distinct interactions between forest loss and human development levels. Our results show different levels of demographic and economic pressures in these frontiers while revealing some important trends such as the internalization of investments and demographic growth in the arc of deforestation. In addition, population growth and inmigration and out-migration patterns in the explored municipalities suggest a demographic complementarity among frontiers. Finally, we explore implications for public policies seeking to advance forest recovery and long-term conservation through sustainable development growth at the local and regional levels.
Revista Brasileira de Estudos de População | 2015
Douglas Sathler; Susana B. Adamo; Everton Emanuel Campos de Lima
Existe uma mobilização global em prol de iniciativas de mitigação e adaptação às mudanças climáticas, com a intensificação das discussões sobre o tema na academia e nos fóruns internacionais. Diante disso, a preservação das florestas tropicais tem ganhado especial atenção, tendo em vista seu potencial mitigador (BUSCH; FERETTI-GALLON, 2014) e, também, as consequências regionais do desmatamento e da degradação das florestas (NOBRE et al., 2009). Nesse contexto, a REDD+ (Reducing Emissions from Deforestation and Forest Degradation and Enhancement of Carbon Stocks) tem desenvolvido parcerias para disseminar conhecimento e alavancar fundos para a promoção de iniciativas de proteção às florestas dos países em desenvolvimento (ANGELSEN, 2012; UN-REDD, 2015). A inserção do Brasil na REDD+ e as políticas nacionais para a redução do desmatamento na Amazônia Legal1 têm sido largamente discutidas em fóruns domésticos e internacionais.
Cadernos Saúde Coletiva | 2014
Everton Emanuel Campos de Lima; Bernardo Lanza Queiroz; Diana Oya Sawyer
This article aims to present a simple methodology to estimate the coverage of registration of deaths and obtain estimates of mortality for small areas, using the example of Minas Gerais. The proposed methodology combines the structure of indirect standardization of mortality of smaller areas based on the functions of mortality of larger areas and then applying the methods of distribution of deaths for more robust estimates of mortality for smaller areas. The results are robust and suitable compared to government estimates, and using other methods. The estimates produced using the two stages procedure, were robust and reduced cases of over- registration of deaths counts and improved estimates of adult mortality in some areas where data are less reliable.
Cadernos De Saude Publica | 2014
Everton Emanuel Campos de Lima; Bernardo Lanza Queiroz
This paper examines the spatial pattern of ill-defined causes of death across Brazilian regions, and its relationship with the evolution of completeness of the deaths registry and changes in the mortality age profile. We make use of the Brazilian Health Informatics Department mortality database and population censuses from 1980 to 2010. We applied demographic methods to evaluate the quality of mortality data for 137 small areas and correct for under-registration of death counts when necessary. The second part of the analysis uses linear regression models to investigate the relationship between, on the one hand, changes in death counts coverage and age profile of mortality, and on the other, changes in the reporting of ill-defined causes of death. The completeness of death counts coverage increases from about 80% in 1980-1991 to over 95% in 2000-2010 at the same time the percentage of ill-defined causes of deaths reduced about 53% in the country. The analysis suggests that the governments efforts to improve data quality are proving successful, and they will allow for a better understanding of the dynamics of health and the mortality transition.
Cadernos De Saude Publica | 2014
Everton Emanuel Campos de Lima; Bernardo Lanza Queiroz
This paper examines the spatial pattern of ill-defined causes of death across Brazilian regions, and its relationship with the evolution of completeness of the deaths registry and changes in the mortality age profile. We make use of the Brazilian Health Informatics Department mortality database and population censuses from 1980 to 2010. We applied demographic methods to evaluate the quality of mortality data for 137 small areas and correct for under-registration of death counts when necessary. The second part of the analysis uses linear regression models to investigate the relationship between, on the one hand, changes in death counts coverage and age profile of mortality, and on the other, changes in the reporting of ill-defined causes of death. The completeness of death counts coverage increases from about 80% in 1980-1991 to over 95% in 2000-2010 at the same time the percentage of ill-defined causes of deaths reduced about 53% in the country. The analysis suggests that the governments efforts to improve data quality are proving successful, and they will allow for a better understanding of the dynamics of health and the mortality transition.
Population and Development Review | 2018
Everton Emanuel Campos de Lima; Kryštof Zeman; Tomáš Sobotka; Mathias Nathan; Ruben Castro
XXV Congresso de Iniciação Cientifica da Unicamp | 2017
Lara Takigava Acrani; Everton Emanuel Campos de Lima; Tim Riffe; Bernardo Lanza Queiroz
Collaboration
Dive into the Everton Emanuel Campos de Lima's collaboration.
Flávio Henrique Miranda de Araújo Freire
Federal University of Rio Grande do Norte
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