2025 Population Health Metrics Editorial Board Reviewer Award – Q&A with Dr José Peñalvo
Published in Social Sciences, Biomedical Research, and Public Health
Congratulations on receiving the Population Health Metrics Editorial Board Reviewer Award! We appreciate your commitment to reviewing for Population Health Metrics. Were you pleased to accept the award?

Yes, absolutely. Serving as an editor carries significant responsibility in shaping the scientific dialogue of the field, and I take that role seriously. Population Health Metrics plays a critical role in advancing rigorous methodological standards, so contributing to that mission, and being recognized for it, is motivating.
Please tell us about yourself and your research.
I am an epidemiologist and currently serve as Director of the National Center for Epidemiology at the Carlos III Institute of Health (ISCIII) in Spain. Our work spans population health research, public health surveillance, health inequalities, and the application of advanced epidemiological and quantitative methods to inform evidence-based decision-making. Throughout my career, I have been particularly committed to strengthening the methodological foundations of population health research, ensuring that the metrics, models, and causal inferences we generate are robust, transparent, and policy-relevant. Bridging rigorous epidemiological methods with actionable public health strategy remains a central focus of my work.
Do you find it beneficial reviewing/handling manuscripts for Population Health Metrics?
Very much so. Serving as an editor provides a unique view on emerging methodological advances and their application across diverse global contexts. It involves not only assessing scientific quality, but also helping shape constructive dialogue between authors and reviewers to strengthen manuscripts. Editorial work is both a responsibility and a learning opportunity as it exposes one to innovative analytical approaches, and reinforces the importance of rigor in population health research.
Thank you again for your contributions to the journal. Where can people find out more about your research?
More information about my research can be found online at https://cne.isciii.es/en/ and https://www.researchgate.net/profile/Jose-Penalvo. I am always happy to connect with colleagues and collaborators interested in population health methods and metrics.
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Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health.
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Measuring Population Health in the Era of Climate Change
Measuring Population Health in the Era of Climate Change
Climate change is increasingly recognized as a major challenge for population health worldwide. Rising global temperatures, more frequent and severe extreme weather events, and changing seasonal patterns affect mortality, morbidity, and broader population health dynamics across countries and regions. These impacts are not distributed equally across populations, with older adults, socioeconomically disadvantaged populations, people from culturally and linguistically diverse backgrounds, Indigenous populations, and other vulnerable groups often facing disproportionate risks.
A growing body of research has documented the adverse health impacts of climate-related exposures, including heat and cold, floods, droughts, and wildfires. Over recent decades, substantial progress has been made in improving methodologies for assessing climate-health associations, increasing the availability and granularity of environmental, geospatial, and health data, and developing cross-national initiatives aimed at strengthening the evidence base. Nevertheless, important challenges remain in measuring and comparing climate-related health impacts across population subgroups, geographical contexts, and time periods.
This Special Collection seeks contributions that advance the measurement and understanding of climate-related impacts on population health. We welcome ecological and population-level studies, methodological innovations in estimating the burden associated with non-optimal temperatures and extreme weather events, and improved approaches for measuring excess mortality and mortality displacement. We also encourage contributions examining seasonality and temporal dynamics in population health, climate-related impacts on non-communicable diseases and mental health conditions, and the interplay between climatic, behavioural, and socioeconomic determinants of health outcomes. Contributions focusing on low- and middle-income countries are particularly welcomed.
Relevant contributions include, but are not limited to:
- Methodological innovations in measuring and modelling climate-related impacts on non-communicable, mental, and infectious diseases
- Advances in measuring excess mortality and short-term mortality displacement (harvesting) associated with extreme weather events
- Determinants of seasonal variation in mortality and morbidity across climatic zones and population groups
- Small-area estimation and spatial modelling of local climate impacts on population health
- Measuring climate-related health outcomes in data-constrained settings
- Comparative and cross-national studies of the socioeconomic, behavioural, and demographic determinants of climate-related health outcomes
- Population vulnerability, adaptation, and resilience to climate-related health risks
- Healthy ageing in a changing climate
- Forecasting and scenario-based approaches to climate-related population health burdens
This Collection welcomes original research articles, methodological contributions, interdisciplinary studies, comparative analyses, and systematic reviews that align with the scope of Population Health Metrics.
All submissions in this collection undergo the journal’s standard peer review process. Similarly, all manuscripts authored by a Guest Editor(s) will be handled by the Editor-in-Chief. As an open access publication, this journal levies an article processing fee (details here). We recognize that many key stakeholders may not have access to such resources and are committed to supporting participation in this issue wherever resources are a barrier. For more information about what support may be available, please visit OA funding and support, or email OAfundingpolicy@springernature.com or the Editor-in-Chief.
Publishing Model: Open Access
Deadline: Feb 26, 2027
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