The EnviroHealth Podcast

著者: Dr. Joseph Levermore
  • サマリー

  • Examining associations of the environment of human health. Have you ever wondered how scientists go about understanding environmental health? From measurement to mathematics, data to diagrams, publication to policy. Join us as we sit down with researchers to explore the causes and effects that the environment can have on our health.
    October 2021
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あらすじ・解説

Examining associations of the environment of human health. Have you ever wondered how scientists go about understanding environmental health? From measurement to mathematics, data to diagrams, publication to policy. Join us as we sit down with researchers to explore the causes and effects that the environment can have on our health.
October 2021
エピソード
  • The risk environmentally present chemicals pose to human and environmental health
    2022/11/28

    In the eighth episode of the Envirohealth podcast, Joseph Levermore spoke with Dr. Leon Barron, Dr. Andrew Prentis, and Professor Guy Woodward about the risk environmentally present chemicals pose to biotic life and human health.

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    35 分
  • The diabetes epidemic and the impact of lifestyle interventions
    2022/11/21

    In the seventh episode of the Envirohealth podcast, Emily spoke with Professor Edward Gregg about his work uncovering the factors driving recent trends in the diabetes epidemic and the impact of lifestyle inventions in the United Kingdom. In this interview, we explore how Professor Gregg champions the role of epidemiology for public health decision-making through diverse disciplines, including population surveillance, effectiveness trials, natural experiments, and health impact modelling.

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    52 分
  • Mathematical and statistical modelling of disease
    2022/11/14

    In the sixth episode of the Envirohealth podcast, Emily spoke with Dr. Tim Lucas about his work using mathematical and statistical modelling of disease incidence. This interview explores his involvement in the Malaria Atlas Project, where he and others developed disaggregation regression models for predicting malaria incidence.

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    51 分
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