The findings indicate that the mortality by homicide is associated with high levels of poverty and uncontrolled urbanization, which migrates to the peripheries of urban centers.

Objective To assess the presence, pattern and magnitude of socioeconomic inequalities on dengue, chikungunya and Zika in Latin America, accounting for their spatiotemporal distribution. Methods Using longitudinal surveillance data (reported arboviruses) from Fortaleza, Brazil and Medellin, Colombia (2007–2017), we fit Bayesian hierarchical models with structured random effects to estimate: (i) spatiotemporally adjusted incidence rates; (ii) Relative Concentration Index and Absolute Concentration Index of inequality; (iii) temporal trends in RCIs; and (iv) socioeconomic‐specific estimates of disease distribution. The spatial analysis was conducted at the neighbourhood level (urban settings). The socioeconomic measures were the median monthly household income (MMHI) for Brazil and the Socio‐Economic Strata index (SES) in Colombia. Results There were 281 426 notified arboviral cases in Fortaleza and 40 887 in Medellin. We observed greater concentration of dengue among residents of low socioeconomic neighbourhoods in both cities: Relative Concentration Index = −0.12 (95% CI = −0.13, −0.10) in Fortaleza and Relative Concentration Index = −0.04 (95% CI = −0.05, −0.03) in Medellin. The magnitude of inequalities varied over time across sites and was larger during outbreaks. We identified a non‐monotonic association between disease rates and socioeconomic measures, especially for chikungunya, that changed over time. The Relative Concentration Index and Absolute Concentration Index showed few if any inequalities for Zika. The socioeconomic‐specific model showed increased disease rates at MMHI below US$400 in Brazil and at SES‐index below level four, in Colombia. Conclusions We provide robust quantitative estimates of socioeconomic inequalities in arboviruses for two Latin American cities. Our findings could inform policymaking by identifying spatial hotspots for arboviruses and targeting strategies to decrease disparities at the local level.

Background: Physical distancing associated with the COVID-19 pandemic may lead to suboptimal maternal mental health, social support after birth, and infant feeding practices. Research Aims: To compare breastfeeding prevalence in participants who were pregnant at a time when strict physical distancing measures were imposed in Fortaleza, the capital of Ceará state, Brazil, with the pre-pandemic breastfeeding levels, and to assess the association of breastfeeding prevalence with maternal common mental disorders, and sociodemographic and health predictors. Method: A cross-sectional prospective two-group comparison design using two population-based surveys was carried out in Fortaleza before and after the pandemic. Participants ( n = 351) who had a live birth in Fortaleza in July or August 2020, and participants ( n = 222) who had a child younger than 12 months in 2017 were surveyed. Crude and adjusted multinomial logistic regressions with robust variance were used to estimate risk ratios and 95% confidence intervals (CI). Results: Similar prevalence of exclusive breastfeeding were observed in 2021 (8.1%) and 2017 (8.5%; p = .790). An increase in predominant (2.2% vs. 13.4%; p < .001) and a decrease in complementary breastfeeding (64.0% vs. 48.4%; p = .037) was observed in 2021, compared to 2017. The prevalence of maternal common mental disorders also increased in 2021 (17.6% vs. 32.5%, p < .001). No statistically significant associations were found between breastfeeding patterns, maternal common mental disorders, and other predictors in 2017 or 2021. Conclusions: Participants who delivered during the COVID-19 pandemic delayed solid foods introduction and breastfed predominantly longer than participants during the pre-pandemic period. While common mental disorders significantly increased, they were not associated with differences in breastfeeding.

PurposeMaternal and child health and parenting practices during the COVID-19 pandemic in Ceará (Iracema-COVID) is a longitudinal, prospective population-based birth cohort designed to understand the effects of the pandemic and social withdrawal in maternal mental health, child development and parenting practices of mothers and families.ParticipantsA sample of mothers who gave birth in July and August 2020 (n=351) was enrolled in the study in January 2021. Interviews were conducted by telephone. Data were collected through standardised questionnaires that, in addition to sociodemographic and economic data, collected information on breast feeding, mental health status and COVID-19.Findings to dateResults from the first wave show that the majority of participants have 9–11 years of schooling (54.4%; 95% CI 61.0 to 70.9) and are of mixed race (71.5%; 95% CI 66.5 to 76.0). At the time of the survey, 27.9% of the participants were out of the labor force (95% CI 23.5 to 32.9) and 78.6% reported a decrease in family income after restrictions imposed due to the pandemic (95% CI 74.0 to 82.6). The prevalence of maternal common mental disorder symptoms was 32.5% (95% CI 27.8 to 37.6).Future plansFollow-up visits are planned to occur every 6 months for the next five years (2021–2025). Additional topics will be included in future waves (eg, food insecurity and parenting practices). Communication strategies for bonding, such as picture cards, pictures of mothers with their children and phone calls to the participants, will be used to minimise attrition. Results of this prospective cohort will generate novel knowledge on the impact of the COVID-19 pandemic on maternal and child health and parenting practices in a population of women and children living in fifth largest city of Brazil.