Publications by authors named "Marco Aurelio O Goes"

The COVID-19 pandemic has severely affected global health, leading to the suspension of numerous routine healthcare services and posing challenges in efforts to control other diseases, such as HIV/AIDS. This study aimed to assess the impact of the COVID-19 pandemic on HIV/AIDS diagnoses and mortality rates in Brazil during 2020 and 2021. The percentage change was calculated to determine whether there was an increase or decrease in HIV/AIDS diagnoses and mortality, considering the average numbers from the last 5 years.

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Currently, the world is facing a severe pandemic caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Although the WHO has recommended preventive measures to limit its spread, Brazil has neglected most of these recommendations, and consequently, our country has the second largest number of deaths from COVID-19 worldwide. In addition, recent studies have shown the relationship between socioeconomic inequalities and the risk of severe COVID-19 infection.

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Article Synopsis
  • This ecological study analyzes prostate cancer mortality data in Sergipe, Brazil from 2000 to 2015, revealing significant trends and geographic distribution of deaths.
  • The analysis utilized temporal methods through Joinpoint Regression Program and spatial methods including empirical Bayesian modeling and Kernel analysis.
  • Findings indicate 1,986 deaths primarily in individuals over 60, with identified hotspots in northeastern and central regions, highlighting high-risk clusters in specific municipalities such as Amparo do São Francisco and Poço Verde.
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The process of population aging is a worldwide reality becoming a global public health challenge. Although population aging is especially noticeable in more developed regions, there has also been a significant advance in the quantity of elderly people in areas with unfavourable socioeconomic indicators, and a rapid growth in countries with a low level of economic development. This article presents an analysis based on spatial autocorrelation of the relationship between life expectancy and social determinants in a north-eastern region of Brazil.

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