Project deliverable Open Access

Case Study 2 "Temperature-related human mortality in European regions": Product Development Report (D5.8)

Martínez-Solanas, Erica; Ballester, Joan; Petrova, Desislava; Quijal, Marcos; Cunha Lopes, Nuno; Dionísio, Sara

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.3559472</identifier>
      <creatorName>Martínez-Solanas, Erica</creatorName>
      <affiliation>Barcelona Institute for Global Health</affiliation>
      <creatorName>Ballester, Joan</creatorName>
      <affiliation>Barcelona Institute for Global Health</affiliation>
      <creatorName>Petrova, Desislava</creatorName>
      <affiliation>Barcelona Institute for Global Health</affiliation>
      <creatorName>Quijal, Marcos</creatorName>
      <affiliation>Barcelona Institute for Global Health</affiliation>
      <creatorName>Cunha Lopes, Nuno</creatorName>
      <familyName>Cunha Lopes</familyName>
      <affiliation>City Council of Almada</affiliation>
      <creatorName>Dionísio, Sara</creatorName>
      <affiliation>City Council of Almada</affiliation>
    <title>Case Study 2 "Temperature-related human mortality in European regions":  Product Development Report (D5.8)</title>
    <date dateType="Issued">2019-11-30</date>
  <resourceType resourceTypeGeneral="Text">Project deliverable</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3559471</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;In order to describe and model the relationship between ambient temperature and mortality, there are several different statistical and epidemiological methodologies. The objective of this deliverable is to describe the &lt;strong&gt;methodology that we are going to use to develop and implement a prototype of integrated heat health early warning system for Europe&lt;/strong&gt;.&amp;nbsp;&lt;/p&gt;


&lt;p&gt;The definition of the risk of death associated with temperature depends on the intensity of the exposure (temperature) for a range of days leading to the health outcome. This has been described as the exposure-lag-response association. In this report we briefly describe the &lt;strong&gt;Distributed Lag-Non Linear Model (DLNM)&lt;/strong&gt; framework, which is here used for the analysis of the delayed short-terms association between temperatures and mortality.&lt;/p&gt;


&lt;p&gt;In order to develop the statistical temperature-mortality association, we calibrated the DLNM model with&lt;strong&gt; two different datasets. &lt;/strong&gt;On the one hand, we used our own database of mortality, which contains information on daily mean temperature and daily counts of all-cause mortality for the period 1998-2012 in 147 regions from 16 European countries, representing around 420 million people. This mortality dataset is of restricted use and is not being made open, neither to project partners nor to the general public. On the other hand, our partners from the City Council of Almada provided a dataset with information on daily mean temperature and daily counts of all-cause mortality in Almada for the period 2000-2015. By using these two sources of information, we calibrated the temperature-mortality model that is going to be used to predict the temperature-attributable mortality in Europe as a part of the heat health early warning system.&lt;strong&gt; This prototype of early warning system will use weather forecasts with lead times up to 15 days to predict the temperature-attributable mortality in Europe at the regional scale&lt;/strong&gt;.&lt;/p&gt;


&lt;p&gt;As a result of the research involved in the case study (CS2), we published several scientific articles which validate the methodology (DLNM) to be used in the temperature-mortality predictions (next step of CS2). The results we here report also &lt;strong&gt;highlights the importance of implementing public health preventive measures, such as heat health early warning systems, that have a positive impact on reducing heat-related mortality&lt;/strong&gt;.&lt;/p&gt;


    <description descriptionType="Other">The Blue-Action project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 727852.</description>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/727852/">727852</awardNumber>
      <awardTitle>Arctic Impact on Weather and Climate</awardTitle>
All versions This version
Views 5757
Downloads 3636
Data volume 27.2 MB27.2 MB
Unique views 5353
Unique downloads 3434


Cite as