Publications by authors named "Joventino de Oliveira Campos"

Premature birth poses a challenge to public health, with one in ten babies being born prematurely worldwide. The pathological distension of the uterus can create tension in the uterine wall, triggering contractions that may lead to birth, including premature birth. While there has been an increase in the use of computational models to study pregnancy in recent years, ethical challenges have limited research on the mechanical properties of the uterus during gestation.

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Over the last months, mathematical models have been extensively used to help control the COVID-19 pandemic worldwide. Although extremely useful in many tasks, most models have performed poorly in forecasting the pandemic peaks. We investigate this common pitfall by forecasting four countries' pandemic peak: Austria, Germany, Italy, and South Korea.

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Article Synopsis
  • By April 2020, COVID-19 had infected 1.5 million people globally, leading to over 80,000 deaths across 209 countries, causing significant strain on health systems.
  • Different countries have varied responses to the pandemic, with successful measures in South Korea, contrasting with the struggles seen in Italy and the early phases in Brazil, highlighting the effectiveness of policies like social distancing.
  • Mathematical models indicate South Korea's strong isolation efforts and case reporting, while Brazil and Italy face high underreporting and less effective isolation, emphasizing the need for robust mitigation strategies, especially in economically vulnerable nations.
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