7 research outputs found

    Maternal age at first birth and adolescent education in Brazil

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    BACKGROUND Brazil has witnessed dramatic changes in its fertility patterns in recent decades. The decline to below-replacement fertility has been accompanied by increases in the proportion of children born to young mothers. Yet we know little about the well-being of children born to young mothers in Brazil. OBJECTIVE Using data from the 2006 Pesquisa Nacional de Demografia e Saúde and a quasi-natural experimental approach, this study examines the implications of maternal age at first birth for the education of Brazilian adolescents. RESULTS We find that being born to a young mother is associated with educational disadvantages in adolescence, but that these disadvantages are attenuated once we account for mothers' selection into early childbearing. We also find that, in southern Brazil, adolescents born to young mothers have poorer educational outcomes compared with their peers born to older mothers, but that in northern Brazil no such disparities exist. CONCLUSIONS Adolescent educational disadvantages associated with being born to a young mother are not an artifact of selectivity, at least in southern Brazil. Regional variation in the effect of maternal age at first birth on adolescent education suggests the important role of the extended family and the father's presence as mechanisms through which disadvantages operate

    Scars from a Previous Epidemic: Social Proximity to Zika and Fertility Intentions during the COVID-19 Pandemic

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    We examine whether women’s social proximity to Zika during the Zika epidemic predicts intentions to avoid a pregnancy because of the COVID-19 pandemic either directly or indirectly via subjective assessments of the pandemic. We apply path models on unique microdata from Brazil, the country most affected by Zika and an epicenter of COVID-19, to understand whether a novel infectious disease outbreak left lasting imprints shaping fertility intentions during a subsequent novel infectious disease outbreak. Findings show that Zika social proximity is associated with fertility intentions through an indirect path related to subjective assessment of the COVID-19 pandemic. These findings emerged regardless of whether a woman herself had or suspected she had Zika and speak to the transformative consequences of novel infectious disease outbreaks that go beyond mortality and health

    Identifying hidden Zika hotspots in Pernambuco, Brazil: a spatial analysis

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    Northeast Brazil has the world's highest rate of Zika-related microcephaly. However, Zika case counts cannot accurately describe burden because mandatory reporting was only established when the epidemic was declining in the region.To advance the study of the Zika epidemic, we identified hotspots of Zika in Pernambuco state, Northeast Brazil, using Aedes-borne diseases (dengue, chikungunya and Zika) and microcephaly data. We used Kulldorff's Poisson purely spatial scan statistic to detect low- and high-risk clusters for Aedes-borne diseases (2014–2017) and for microcephaly (2015–2017), separately. Municipalities were classified according to a proposed gradient of Zika burden during the epidemic, based on the combination of cluster status in each analysis and considering the strength of the evidence.We identified 26 Aedes-borne diseases clusters (11 high-risk) and 5 microcephaly clusters (3 high-risk) in Pernambuco. According to the proposed Zika burden gradient, our results indicate that the northeast of Pernambuco and the Sertão region were hit hardest by the Zika epidemic. The first is the most populous area of Pernambuco, while the second has one of the highest rates of social and economic inequality in Brazil.We successfully identified possible hidden Zika hotspots using a simple methodology combining Aedes-borne diseases and microcephaly information.This research was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (https://www.nichd.nih.gov/): grant R01HD091257 awarded to LJM (PI: LJM, co-investigator: MD), and grants P2CH042849 and T32HD007081 awarded to the Population Research Center at the University of Texas at Austin. RL was supported by a Royal Society Dorothy Hodgkin Fellowship(https://royalsociety.org/grants-schemes-awards/grants/dorothy-hodgkin-fellowship/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer ReviewedPostprint (author's final draft
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