Impact of COVID-19 Pandemic on Cancer-Related Hospitalizations in Brazil.

BACKGROUND: Alongside the SARS-CoV-2 (COVID-19) pandemic, Brazil also faces an ongoing rise in cancer burden. In 2020, there were approximately 592 000 new cancer cases and 260 000 cancer deaths. Considering the heterogeneities across Brazil, this study aimed to estimate the impact of the COVID-19 pandemic on cancer-related hospital admissions at a national and regional level. METHODS: The national, regional, and state-specific monthly average of cancer-related hospital admission rates per 100 000 inhabitants and 95% confidence intervals (95% CIs) were calculated from March to July (2019: pre-COVID-19; and 2020: COVID-19 period). Thematic maps were constructed to compare the rates between periods and regions. RESULTS: Cancer-related hospital admissions were reduced by 26% and 28% for clinical and surgical purposes, respectively. In Brazil, the average hospitalization rates decreased from 13.9 in 2019 to 10.2 in 2020 per 100,000 inhabitants, representing a rate difference of -3.7 (per 100,000 inhabitants; 95% CI: -3.9 to -3.5) for cancer-related (clinical) hospital admissions. Surgical hospital admissions showed a rate decline of -5.8 per 100,000 (95% CI: -6.0 to -5.5). The reduction in cancer-related admissions for the surgical procedure varies across regions ranging between -2.2 and -10.8 per 100 000 inhabitants, with the most significant decrease observed in the south and southeastern Brazil. CONCLUSIONS: We observed a substantial decrease in cancer-related hospital admissions during the COVID-19 pandemic with marked differences across regions. Delays in treatment may negatively impact cancer survival in the future; hence, cancer control strategies to mitigate the impact are needed.

Risk of cardiovascular mortality, stroke and coronary heart mortality associated with aircraft noise around Congonhas airport, São Paulo, Brazil: a small-area study.

BACKGROUND: Noise pollution is increasingly recognised as a public health hazard, yet limited evidence is available from low- and middle-income countries (LMIC), particularly for specific sources. Here, we investigated the association between day-night average (Ldn) aircraft noise and the risk of death due to cardiovascular disease (CVD), stroke and coronary heart disease (CHD) at small-area level around São Paulo's Congonhas airport, Brazil during the period 2011-2016. METHODS: We selected 3259 census tracts across 16 districts partially or entirely exposed to ≥50 dB aircraft noise levels around the Congonhas airport, using pre-modelled 5 dB Ldn noise  bands (≤50 dB to > 65 dB). We estimated the average noise exposure per census tract using area-weighting. Age, sex and calendar year-specific death counts for CVD, stroke and CHD were calculated by census tract, according to the residential address at time of death. We fitted Poisson regression models to quantify the risk associated with aircraft noise exposure, adjusting for age, sex, calendar year and area-level covariates including socioeconomic development, ethnicity, smoking and road traffic related noise and air pollution. RESULTS: After accounting for all covariates, areas exposed to the highest levels of noise (> 65 dB) showed a relative risk (RR) for CVD and CHD of 1.06 (95% CI: 0.94; 1.20) and 1.11 (95%CI: 0.96; 1.27), respectively, compared to those exposed to reference noise levels (≤50 dB). The RR for stroke ranged between 1.05 (95%CI: 0.95;1.16) and 0.91 (95%CI: 0.78;1.11) for all the noise levels assessed. We found a statistically significant positive trend for CVD and CHD mortality risk with increasing levels of noise (p = 0.043 and p = 0.005, respectively). No significant linear trend was found for stroke. Risk estimates were generally higher after excluding road traffic density, suggesting that road traffic air and noise pollution are potentially important confounders. CONCLUSIONS: This study provides some evidence that aircraft noise is associated with increased risk of CVD and CHD mortality in a middle-income setting. More research is needed to validate these results in other LMIC settings and to further explore the influence of residual confounding and ecological bias. Remarkably, 60% of the study population living near the Congonhas airport (~ 1.5 million) were exposed to aircraft noise levels > 50 dB, well above those recommended by the WHO (45 dB), highlighting the need for public health interventions.

Incidence and mortality risk for respiratory tract cancer in the city of São Paulo, Brazil: Bayesian analysis of the association with traffic density.

BACKGROUND: There is evidence that exposure to traffic-related air pollution is related to the incidence of and mortality associated with lung cancer. The aim of this study was to perform a spatial analysis, with a Bayesian approach, to test the hypothesis that high traffic density is associated with increased respiratory tract cancer incidence and mortality risk among individuals over 20 years of age residing in the city of São Paulo, Brazil. METHODS: We employed data from two different databases: the São Paulo Municipal Population-Based Cancer Registry (2002-2011 cancer incidence data); and the Mortality Database of the São Paulo Municipal Health Department (2002-2013 cancer mortality data). The relationships between the number of cases of respiratory tract cancer in each area analyzed and the standardized covariates-traffic density and the Municipal Human Development Index (MHDI)-were evaluated with a Besag-York-Mollié ecological model with relative risks (RRs) estimates. RESULTS: Per 1-unit standard-deviation increase in traffic density and in the MHDI, the RR for respiratory tract cancer incidence was 1.07 (95% CI: 1.02-1.13) and 1.25 (95% CI: 1.18-1.32), respectively, whereas the RR for mortality was 1.04 (95% CI: 0.99-1.09) and 1.23 (95% CI: 1.16-1.30), respectively. CONCLUSION: Our findings support the hypothesis that residing in areas with high traffic density is associated with increased respiratory tract cancer incidence and mortality risk in the city of São Paulo.