We analyzed the impact of the efforts to combat the COVID-19 pandemic on the prices of food sold by a food supply center located in the sixth largest city in Brazil. We examined the percentage change in the prices of 20 types of foods, adjusted by market conditions, using municipal contingency plan stages to compare opening and closing of non-essential services, including bars and restaurants (stage 1: first phase of essential services-only; stage 2: flexibilization; and stage 3: second phase of essential services-only with a “pre-pandemic” period [stage 0]). Log-prices were lower in all contingency stages for leafy greens (variation: 42% to 56%) and vegetables (variation: 28% to 40%). Log-prices of eggs and fruit were 20% and 16% lower during stages 1 and 3, respectively. Strategies to combat the COVID-19 pandemic lowered the prices of eggs, fruit, leafy greens, and vegetables regardless of the market conditions. Accordingly, the supply and demand for fresh and minimally processed foods were affected by the economic crisis and difficulties to access and/or buy perishable foods more often. The impacts of efforts to defeat the pandemic must ensure the human right to adequate food, considering that low prices do not necessarily indicate food security.

Socioeconomic factors have exacerbated the impact of COVID–19 worldwide. Brazil, already marked by significant economic inequalities, is one of the most affected countries, with one of the highest mortality rates. Understanding how inequality and income segregation contribute to excess mortality by COVID–19 in Brazilian cities is essential for designing public health policies to mitigate the impact of the disease. This paper aims to fill in this gap by analyzing the effect of income inequality and income segregation on COVID–19 mortality in large urban centers in Brazil. We compiled weekly COVID–19 mortality rates from March 2020 to February 2021 in a longitudinal ecological design, aggregating data at the city level for 152 Brazilian cities. Mortality rates from COVID-19 were compared across weeks, cities and states using mixed linear models. We estimated the associations between COVID-19 mortality rates with income inequality and income segregation using mixed negative binomial models including city and week-level random intercepts. We measured income inequality using the Gini index and income segregation using the dissimilarity index using data from the 2010 Brazilian demographic census. We found that 88.2% of COVID–19 mortality rates variability was between weeks, 8.5% between cities, and 3.3% between states. Higher-income inequality and higher-income segregation values were associated with higher COVID–19 mortality rates before and after accounting for all adjustment factors. In our main adjusted model, rate ratios (RR) per 1 SD increases in income inequality and income segregation were associated with 17% (95% CI 9% to 26%) and 11% (95% CI 4% to 19%) higher mortality. Income inequality and income segregation are long-standing hallmarks of large Brazilian cities. Risk factors related to the socioeconomic context affected the course of the pandemic in the country and contributed to high mortality rates. Pre-existing social vulnerabilities were critical factors in the aggravation of COVID–19, as supported by the observed associations in this study.

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Background: Despite global interest in gender disparities and social determinants of hypertension, research in urban areas and regions with a high prevalence of hypertension, such as Latin America, is very limited. The objective of this study was to examine associations between the individual- and area-level socioeconomic status and hypertension in adults living in 230 cities in eight Latin America countries. Methods: In this cross-sectional study, we used harmonized data from 109,184 adults (aged 18-97 years) from the SALURBAL (Salud Urbana en America Latina/Urban Health in Latin America) project. Hypertension was assessed by self-report. The individual-, sub-city- and city-level education were used as proxies of socioeconomic status. All models were stratified by gender. Results: While individual-level education was positively associated with higher odds of hypertension among men (university education or higher versus less than primary: Odds Ratio [OR] = 1.63; 95% confidence interval [CI] = 1.45-1.83) the reverse was true among women (university education or higher versus lower than primary: OR = 0.66, 95%CI = 0.60-0.73), with both associations showing a dose-response pattern. For both genders, living in sub-city areas with higher educational achievement was associated with higher odds of hypertension (OR per standard deviation [SD] = 1.05, 95%CI = 1.01-1.10; OR = 1.09 per SD, 95%CI = 1.03-1.16, for women and men, respectively). The association of city-level education with hypertension varied across countries. In Peru, there was an inverse association (lower proportion of hypertension with a better education at the city level) in women and men, in other countries, no association was observed. Conclusion: The social patterning of hypertension differs by gender and by the level of analysis highlighting the importance of context- and gender-sensitive approaches and policies to reduce the prevalence of hypertension in Latin America.