Resumo A pandemia de COVID-19 tem desafiado pesquisadores e gestores a encontrar medidas de saúde pública que evitem o colapso dos sistemas de saúde e reduzam os óbitos. Esta revisão narrativa buscou sistematizar as evidências sobre o impacto das medidas de distanciamento social na epidemia de COVID-19 e discutir sua implementação no Brasil. Foram triados artigos sobre o efeito do distanciamento social na COVID-19 no PubMed, medRXiv e bioRvix, e analisados atos do poder público nos níveis federal e estadual para sumarizar as estratégias implementadas no Brasil. Os achados sugerem que o distanciamento social adotado por população é efetivo, especialmente quando combinado ao isolamento de casos e à quarentena dos contatos. Recomenda-se a implementação de medidas de distanciamento social e de políticas de proteção social para garantir a sustentabilidade dessas medidas. Para o controle da COVID-19 no Brasil, é imprescindível que essas medidas estejam aliadas ao fortalecimento do sistema de vigilância nos três níveis do SUS, que inclui a avaliação e uso de indicadores adicionais para monitorar a evolução da pandemia e o efeito das medidas de controle, a ampliação da capacidade de testagem, e divulgação ampla e transparente das notificações e de testagem desagregadas.

Resumo O objetivo foi mapear evidências sobre a qualidade dos registros do Sistema de Informação sobre Mortalidade (SIM) por meio de revisão de escopo nacional com artigos publicados até abril de 2023 em cinco bases (PubMed, Embase, scopus, LILACS e SciELO). Excluíram-se estudos focados em causas específicas de óbito. Foram avaliadas dimensões como acessibilidade, clareza metodologica, cobertura, completitude, confiabilidade, consistencia, nao-duplicidade, oportunidade, validade e estudos de causas mal definidas/garbage codes.. Dos 33 artigos incluídos, observou-se melhoria geral da qualidade do SIM, com redução de 68,5% nos garbage codes (2000-2015). Contudo, persistem desigualdades regionais no SIM, com cobertura abaixo de 90% no Acre e Maranhão e pior desempenho nas regiões Norte e Nordeste. Um SIM robusto é essencial para estratégias de saúde pública voltadas à prevenção de mortes evitáveis.

OBJECTIVE Summarize the literature on the relationship between composite socioeconomic indicators and mortality in different geographical areas of Brazil. METHODS This scoping review included articles published between January 1, 2000, and August 31, 2020, retrieved by means of a bibliographic search carried out in the Medline, Scopus, Web of Science, and Lilacs databases. Studies reporting on the association between composite socioeconomic indicators and all-cause, or specific cause of death in any age group in different geographical areas were selected. The review summarized the measures constructed, their associations with the outcomes, and potential study limitations. RESULTS Of the 77 full texts that met the inclusion criteria, the study reviewed 24. The area level of composite socioeconomic indicators analyzed comprised municipalities (n = 6), districts (n = 5), census tracts (n = 4), state (n = 2), country (n = 2), and other areas (n = 5). Six studies used composite socioeconomic indicators such as the Human Development Index, Gross Domestic Product, and the Gini Index; the remaining 18 papers created their own socioeconomic measures based on sociodemographic and health indicators. Socioeconomic status was inversely associated with higher rates of all-cause mortality, external cause mortality, suicide, homicide, fetal and infant mortality, respiratory and circulatory diseases, stroke, infectious and parasitic diseases, malnutrition, gastroenteritis, and oropharyngeal cancer. Higher mortality rates due to colorectal cancer, leukemia, a general group of neoplasms, traffic accident, and suicide, in turn, were observed in less deprived areas and/or those with more significant socioeconomic development. Underreporting of death and differences in mortality coverage in Brazilian areas were cited as the main limitation. CONCLUSIONS Studies analyzed mortality inequalities in different geographical areas by means of composite socioeconomic indicators, showing that the association directions vary according to the mortality outcome. But studies on all-cause mortality and at the census tract level remain scarce. The results may guide the development of new composite socioeconomic indicators for use in mortality inequality analysis.

The COVID-19 pandemic may accentuate existing problems, hindering access to legal abortion, with a consequent increase in unsafe abortions. This scenario may be even worse in low- and middle-income countries, especially in Latin America, where abortion laws are already restrictive and access to services is already hampered. Our objective was to understand how different countries, with an emphasis on Latin Americans, have dealt with legal abortion services in the context of the COVID-19. Thus, we conducted a narrative review on abortion and COVID-19. The 75 articles included, plus other relevant references, indicate that the pandemic affects sexual and reproductive health services by amplifying existing problems and restricting access to reproductive rights, such as legal abortion. This impact may be even stronger in low- and middle-income countries, especially in Latin America, where access to legal abortion is normally restricted. The revision of sources in this article underlines the urgent need to maintain legal abortion services, both from women’s perspective, in support of their reproductive rights, but also from that of the international commitment to achieving the Millennium Development Goals. Thereby, Latin American countries must place reproductive rights as a priority on their agendas and adapt legislation to accommodate alternative models of abortion care. Furthermore, our results underscore the need for clear information on the functioning of sexual and reproductive health services as essential for understanding the impact of the pandemic on legal abortion and to identify the groups most affected by the changes.

Background: Cesarean section (CS) rates are increasing worldwide and are associated with negative maternal and child health outcomes when performed without medical indication. However, there is still limited knowledge about the association between high CS rates and early-term births. This study explored the association between CSs and early-term births according to the Robson classification. Methods: A population-based, cross-sectional study was performed with routine registration data of live births in Brazil between 2012 and 2019. We used the Robson classification system to compare groups with expected high and low CS rates. We used propensity scores to compare CSs to vaginal deliveries (1:1) and estimated associations with early-term births using logistic regression. Results: A total of 17,081,685 live births were included. Births via CS had higher odds of early-term birth (OR 1.32; 95% CI 1.32–1.32) compared to vaginal deliveries. Births by CS to women in Group 2 (OR 1.50; 95% CI 1.49–1.51) and 4 (OR 1.57; 95% CI 1.56–1.58) showed the highest odds of early-term birth, compared to vaginal deliveries. Increased odds of an early-term birth were also observed among births by CS to women in Group 3 (OR 1.30, 95% CI 1.29–1.31), compared to vaginal deliveries. In addition, live births by CS to women with a previous CS (Group 5 - OR 1.36, 95% CI 1.35–1.37), a single breech pregnancy (Group 6 - OR 1.16; 95% CI 1.11–1.21, and Group 7 - OR 1.19; 95% CI 1.16–1.23), and multiple pregnancies (Group 8 - OR 1.46; 95% CI 1.40–1.52) had high odds of an early-term birth, compared to live births by vaginal delivery. Conclusions: CSs were associated with increased odds of early-term births. The highest odds of early-term birth were observed among those births by CS in Robson Groups 2 and 4.

OBJECTIVE To compare the death counts from three sources of information on mortality available in Brazil in 2010, the Mortality Information System (SIM - Sistema de Informações sobre Mortalidade ), Civil Registration Statistic System (RC - Sistema de Estatísticas de Resgistro Civil ), and the 2010 Demographic Census at various geographical levels, and to confirm the association between municipal socioeconomic characteristics and the source which showed the highest death count. METHODS This is a descriptive and comparative study of raw data on deaths in the SIM, RC and 2010 Census databases, the latter held in Brazilian states and municipalities between August 2009 and July 2010. The percentage of municipalities was confirmed by the database showing the highest death count. The association between the source of the highest death count and socioeconomic indicators - the Índice de Privação Brasileiro (IBP – Brazilian Deprivation Index) and Índice de Desenvolvimento Humano Municipal (IHDM – Municipal Human Development Index) - was performed by bivariate choropleth and Moran Local Index of Spatial Association (LISA) cluster maps. RESULTS Confirmed that the SIM is the database with the highest number of deaths counted for all Brazilian macroregions, except the North, in which the highest coverage was from the 2010 Census. Based on the indicators proposed, in general, the Census showed a higher coverage of deaths than the SIM and the RC in the most deprived (highest IBP values) and less developed municipalities (lowest IDHM values) in the country. CONCLUSION The results highlight regional inequalities in how the databases chosen for this study cover death records, and the importance of maintaining the issue of mortality on the basic census questionnaire.