Brazil has been severely hit by COVID-19, with rapid spatial spread of both cases and deaths. We use daily data on reported cases and deaths to understand, measure, and compare the spatiotemporal pattern of the spread across municipalities. Indicators of clustering, trajectories, speed, and intensity of the movement of COVID-19 to interior areas, combined with indices of policy measures show that while no single narrative explains the diversity in the spread, an overall failure of implementing prompt, coordinated, and equitable responses in a context of stark local inequalities fueled disease spread. This resulted in high and unequal infection and mortality burdens. With a current surge in cases and deaths and several variants of concern in circulation, failure to mitigate the spread could further aggravate the burden.

Background Heterogeneity in COVID-19 morbidity and mortality is often associated with a country's health-services structure and social inequality. This study aimed to characterize social inequalities in COVID-19 mortality in São Paulo, the most populous city in Brazil and Latin America. Methods We conducted a population-based study, including COVID-19 deaths among São Paulo residents from March to September 2020. Age-standardized mortality rates and unadjusted rate ratios (RRs) [with corresponding 95% confidence intervals (CIs)] were estimated by race, sex, age group, district of residence, household crowding, educational attainment, income level and percentage of households in subnormal areas in each district. Time trends in mortality were assessed using the Joinpoint model. Results Males presented an 84% increase in COVID-19 mortality compared with females (RR = 1.84, 95% CI 1.79–1.90). Higher mortality rates were observed for Blacks (RR = 1.77, 95% CI 1.67–1.88) and mixed (RR = 1.42, 95% CI 1.37–1.47) compared with Whites, whereas lower mortality was noted for Asians (RR = 0.63, 95% CI 0.58–0.68). A positive gradient was found for all socio-economic indicators, i.e. increases in disparities denoted by less education, more household crowding, lower income and a higher concentration of subnormal areas were associated with higher mortality rates. A decrease in mortality over time was observed in all racial groups, but it started earlier among Whites and Asians. Conclusion Our results reveal striking social inequalities in COVID-19 mortality in São Paulo, exposing structural inequities in Brazilian society that were not addressed by the governmental response to COVID-19. Without an equitable response, COVID-19 will further exacerbate current social inequalities in São Paulo.

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Osteosarcoma (OS) is the most common primary bone tumor in children and adolescents. The etiology of OS is largely unknown but may be informed by comparisons of incidence and trends between geographic regions. Using the Cancer Incidence in Five Continents (CI5) data from 1988 to 2012, we present OS agestandardized incidence rates (ASRs; cases/million) and average annual percent change (AAPC) and 95% confidence interval (CI) by geographic region among the age groups 0-9, 10-19, 20-29, 30-59, 60-79, 0-79. Among the 10-19 age group, we also used the most recent data (2008)(2009)(2010)(2011)(2012) to present the ASRs for each country. We observed little variation in OS incidence between geographic regions in 2008-2012 across all age groups. Overall, the ASR for 0-79 ranged from 2 cases per million in Southern Asia to 4.2 in Sub-Saharan Africa. A bimodal distribution in incidence was observed with peaks in the 10-19 and 60-79 age groups across all regions over time. Overall, OS incidence was relatively stable across 1988-2012 with the only statistically significant increases in the 0-79 age group observed in

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