An international research program on the associations between weather and health

Research

Research within the MCC network is based on the premise of collaborative work and data sharing. The program is organized in separate sub-projects that address different research questions and are led by one or more research teams in collaboration with the others. The aim is to offer epidemiological evidence to deepen our knowledge on the relationships between weather and heath and to promote evidence

The work consists of both the development of analytical methods and study design, and substantive analyses on specific research topics. The efforts have already produced peer-reviewed publications in major epidemiological and medical journals and conferences. Among a list of completed or ongoing sub-projects, the following main topics have been investigated:

  • Global assessment of the health effects of temperature on mortality, exploring the increased health risks and impact associated with both high and low temperature across various climates and populations;
  • Climate change projections of temperature-related health impacts under various scenarios of climate change and different assumptions of adaptation and population changes, coupled with the assessment of the potential effects of alternative mitigation strategies.
  • Analysis of the geographical variation of risks, characterising the heterogeneity of the risks associated to heat and cold and across populations and differential vulnerability of specific sub-groups;
  • Analysis of the temporal changes in temperature-health relationships, either in the long period (decades) and within seasons, to identify factors responsible for adaptation and/or acclimatization;
  • Assessment of the effects of temperature variability on mortality, using indices of changes in temperature both within and between days;
  • Analysis of the effects on multiple health outcomes of episodes of extreme weather, using various definitions of either heat waves and cold spells;
  • Evaluation of the optimal temperature, identified and the value corresponding to the lowest mortality risk, across populations and climates, and its variation along space and time.

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