Workshop/Conference Diego Ramiro Fariñas /Dariya Ordanovich (CSIC-Spain)
Conference: El uso de la demografía histórica para medir la interacción entre clima y mortalidad. MADRID 1890_2023
Dr. Diego Ramiro-Fariñas – CSIC/ Spain
Data: 08/04/2024 às 9h
Local: Sala IH 02, no IFCH/Unicamp
Após a conferência, o curso será na sala SI08 no PB
Workshop: Extreme Heat and Human Health: An Emerging Problem Seen from Geographic, Demographic, and Epidemiological Perspectives
Dariya Ordanovich (CSIC-Spain)/ Diego Ramiro Fariñas (CSIC-Spain)
Local: PB, sala SI08
April 8/9 2024
Day 1: Theoretical Foundations (6-7 hours)
Session 1: Introduction to Extreme Heat and its Impact on Human Health (1 hour)
- Physiological effects of extreme temperatures on the human body
- Definition of extreme heat events and their impacts on human health
- Case studies highlighting the severity of heat-related health issues
- Discussion on the importance of considering geographic, demographic, and epidemiological perspectives
- Introduction to the workshop objectives and agenda
Session 2: Epidemiological Perspectives on Heat-Related Mortality (1.5 hours)
- Overview of epidemiological studies linking extreme heat to mortality
- Discussion on heat-mortality relationships and risk factors
- Introduction to Distributed Lag Non-Linear Models (DLNM) for modeling temperature-mortality relationships
Session 3: Demographic Data Sources for Heat-Related Health Studies (1.5 hours)
- Introduction to demographic data sources including longitudinal population registers
- Explanation of how demographic data is leveraged to estimate population vulnerability to extreme heat
- Case studies demonstrating the use of demographic data in heat-health studies
Session 4: Geographic Perspectives on Heat Vulnerability (1.5 hour)
- Overview of geographic information systems (GIS) and their applications in heat-health research
- Introduction to spatial data sources relevant to heat vulnerability assessment
- Case studies demonstrating the use of GIS in analyzing spatial patterns of heat-related health impacts
Session 5: Statistical Methods for Estimating Excess Mortality During Heat Waves (1 hour)
- Introduction to classical statistical methods for estimating excess mortality during heat waves
- Discussion on different approaches and their strengths and limitations
- Case studies demonstrating the application of statistical methods in mortality-due-to-heat estimation
Day 2: Practical Applications (5-6 hours)
Session 6: Data Access and Management in R (1 hour)
- Overview of accessing and managing publicly available data in R
- Demonstrations on retrieving and preparing daily death statistics and temperature estimates from sources like ECMWF
- Hands-on exercises on data manipulation and cleaning using R
Session 7: Modeling Temperature-Mortality Relationships using DLNM in R (2 hours)
- Introduction to DLNM and its implementation in R
- Step-by-step guide on modeling temperature-mortality relationships using DLNM
- Practical exercises on fitting DLNM models to historical data and interpreting results
Session 8: Spatial Analysis of Heat-Related Health Risks with ArcGIS (2 hours)
- Introduction to ArcGIS and its functionalities for spatial analysis
- Demonstrations on importing and managing spatial data in ArcGIS
- Hands-on exercises on conducting spatial analysis to assess heat-related health risks
Session 10: Case Studies and Practical Applications (1 hour)
- Presentation of real-world case studies applying the methods and tools discussed in the workshop
- Group discussions and Q&A session for participants to share insights and challenges
- Summary and conclusion of the workshop, with recommendations for future research and practice
Summary
This workshop provides participants with a comprehensive understanding of the multifaceted impacts of extreme heat on human health, emphasizing the integration of geographic, demographic, and epidemiological perspectives. Through theoretical discussions and practical exercises using R and ArcGIS, participants gain hands-on experience in analyzing historical data to assess heat-related health risks and inform public health interventions. By the end of the workshop, participants will be equipped with the knowledge and skills to conduct their own research on extreme heat and human health using publicly available data sources and advanced analytical methods.
Organização: Ana Silvia Volpi Scott (IFCH/ Nepo/ Unicamp)
Apoio: Programa de Pós-graduação em Demografia (IFCH/Unicamp) e Núcleo de Estudos de População Elza Berquó (Nepo/Unicamp)