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DTSTART;TZID=Europe/Paris:20251104T110000
DTEND;TZID=Europe/Paris:20251104T120000
DTSTAMP:20260427T190117
CREATED:20251017T094804Z
LAST-MODIFIED:20251017T094932Z
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SUMMARY:Information Session and Launch ‘How to publish your GREATLEAP COST Action research with Open Research Europe’
DESCRIPTION:We warmly invite you to join us for the launch and information session of the new Open Research Europe Special Collection “Multidisciplinary approaches to historical health inequalities\, 1800–2022”.\n Registration link: Register here\n  \nWhat this Collection is about\nHealth inequalities have persisted across time\, shaped by structural\, socioeconomic\, environmental\, and demographic factors. The GREATLEAP network brings together historians\, demographers\, epidemiologists\, data scientists\, and public health experts to explore how cause-specific mortality data can shed light on the origins\, dynamics\, and transformations of these disparities from 1800 to 2022. The network is committed to creating comparable individual-level historical cause-of-death datasets\, designing analytical tools\, and generating evidence that bridges past findings with present health policy challenges.  \nThis Special Collection welcomes contributions that engage with the broad theme of historical health inequalities\, and is organized into three thematic subcollections: \n\n\nCoding and Classifying Historical Causes-of-Death — methodological work around standardization\, classification\, and coding of historical mortality data. \n\n\nApproaches and Tools for Individual-level Cause-specific Mortality Data — analytical methods\, software\, or computational tools tailored to individual-level cause-specific mortality records. \n\n\nComparisons between Space and Time using Individual-level Cause-of-Death Data — comparative research that spans regions and periods; to qualify\, submissions must involve authors from at least two countries. \n\n\nAccepted article types include research articles\, case studies\, open letters\, essays\, reviews\, data notes\, methodological articles\, software tool presentations\, and brief reports (depending on subcollection) — as long as they align with the thematic goals of the Collection. \nOpen Research Europe\nOpen Research Europe is an open access publishing platform for the publication of research stemming from European Commission funding across all subject areas. The platform makes it easy for European Commission beneficiaries to comply with the open access terms of their funding and offers researchers a publishing venue to share their results and insights rapidly and facilitate open\, constructive research discussion. Open Research Europe operates under a continuous publication schedule. A key benefit of publishing in Open Research Europe is that publication fees are fully covered for all GREATLEAP members\, meaning you can publish free of charge. In addition\, all articles undergo open peer review\, where reviewer reports and author responses are published alongside the article\, ensuring transparency and constructive engagement. See their FAQ here.  \nWhat will happen at the session\n\nPresentation of the Collection’s goals\, scope\, and structure\nWalkthrough of the submission process and author guidelines at Open Research Europe\nQ&A to address any questions from prospective contributors\n\nThis session is ideal for anyone working at the intersection of history\, epidemiology\, demography\, data science\, public health\, or allied disciplines who is interested in contributing to or learning more about the long-term study of health inequality.
URL:https://greatleap.eu/event/information-session-and-launch-how-to-publish-your-greatleap-cost-action-research-with-open-research-europe/
LOCATION:MS Teams
CATEGORIES:GREATLEAP,WG5
ORGANIZER;CN="Dr. Tim Riswick":MAILTO:For inquiries, please contact Dr. Tim Riswick, tim.riswick@ru.nl
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20251107T140000
DTEND;TZID=Europe/Paris:20251107T160000
DTSTAMP:20260427T190117
CREATED:20250929T133615Z
LAST-MODIFIED:20251204T081829Z
UID:6489-1762524000-1762531200@greatleap.eu
SUMMARY:Online lecture 9 – Family reconstitution application in event history models
DESCRIPTION:Lecturers: Dr. Péter Őri\, Hungarian Demographic Research Institute \nContent: The lecture provides an overview of infant and child mortality prior to the demographic transition\, paying particular attention to differences by sex\, age group\, parental socioeconomic status\, historical period\, season\, and the impact of different family settings (e.g. parental loss and remarriage\, the death of a previously born child\, and having siblings). In addition to a theoretical introduction\, it presents results from macro-level statistics and individual longitudinal micro-analyses relating to Hungarian communities. \nObjectives: The lecture provides information on the levels and determinants of pre-modern infant and child mortality\, and the historical sources that enable their analysis. It also explores the application of family reconstitution data in event history models. \nRequirements: Active participation. \nRecommended reading: \n\nEdvinsson\, S.\, & Janssens\, A. (2012). Clustering of deaths in families: Infant and child mortality in historical perspective. Biodemography and Social Biology\, 58(2)\, 75–86. 6. https://doi.org/10.1080/ 19485565.2012.738575\nJaadla\, H.\, & Lust\, K. (2021). The effect of parental loss on child survival in nineteenth century rural Estonia. The History of the Family\, 26(2)\, 336–351. https://doi.org/10.1080/1081602X.2021. 1905022\nOris\, M.\, & Ochiai\, E. (2002). Family crisis in the context of different family systems: Framework and evidence on «When Dad Died». In R. Derosas & M. Oris (Eds.)\, When Dad Died. Individuals and families copying with family stress in past societies (pp. 17–80). Peter Lang.\nOris\, M.\, Derosas\, R.\, & Breschi\, M. (2004). Infant and child mortality. In T. Bengtsson\, C. Campbell\, J. Z. Lee (Eds.)\, Life under pressure. Mortality and living standards in Europe and Asia\, 1700–1900 (pp. 360–398). MIT Press.\nSchacht\, R.\, Meeks\, H.\, Fraser\, A.\, & Smith\, K. R. (2021). Was Cinderella just a fairy tale? Survival differences between stepchildren and their halfsiblings. Philosophical Transactions Royal Society\, 376(1827)\, 20200032. https://doi.org/10.1098/rstb.2020.0032\nSear\, R.\, & Coall\, D. (2011). How much does family matter? Cooperative breeding and the demographic transition. Population and Development Review\, 37(Supplement)\, 81–112. https://doi.org/ 10.1111/j.1728-4457.2011.00379.x\nWillführ\, K. P.\, & Gagnon\, A. (2012). Are stepmothers evil or simply unskilled? Infant death clustering in recomposed families. Biodemography and Social Biology\, 58(2)\, 149–161. https://doi.org/10. 1080/19485565.2012.734745\nWillführ\, K. P.\, & Gagnon\, A. (2013). Are step-parents always evil? Parental death\, remarriage\, and child survival in demographically saturated Krummhörn (1720–1859) and expanding Québec (1670–1750). Biodemography and Social Biology\, 59(2)\, 191–211. https://doi.org/10.1080/ 19485565.2013.833803\n\nYou can find the presentation in .pdf here.
URL:https://greatleap.eu/event/online-lecture-9-family-reconstitution-application-in-event-history-models/
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DTSTART;TZID=Europe/Paris:20251121T140000
DTEND;TZID=Europe/Paris:20251121T160000
DTSTAMP:20260427T190117
CREATED:20251007T124731Z
LAST-MODIFIED:20251127T092352Z
UID:6502-1763733600-1763740800@greatleap.eu
SUMMARY:Online lecture 10: Retrospective modelling of epidemics using historical mortality data
DESCRIPTION:Lecturer: Dr. Katarina Matthes\, University of Zurich \nContent: \nThe aim of this lecture is to provide an introduction to how mortality data can be used for retrospective modelling of an epidemic. The session will cover the concept of excess mortality\, methods for analysing and visualizing spatial patterns of mortality to identify regional variations\, and will show how to estimate the reproduction number (transmissibility) to understand epidemic disease spread. \nObjectives: \n\nIntroduction to the concept of excess mortality and methods for its application\nIntroduction to methods for showing spatial patterns\nPresentation of the reproduction number (transmissibility) \n\nRecommended reading: \nMatthes\, K.L.\, Floris\, J.\, Merzouki\, A.\, Junker\, C.\, Weitkunat\, R.\, Rühli\, F.\, Keiser\, O.\, Staub\, K.\, 2024. Spatial pattern of all cause excess mortality in Swiss districts during the pandemic years 1890\, 1918 and 2020. Spat Spatiotemporal Epidemiol 51\, 100697. https://doi.org/10.1016/J.SSTE.2024.100697 \nMatthes\, K.L.\, Le Vu\, M.\, Staub\, K.\, 2025. Fertility dynamics through historical pandemics and COVID-19 in Switzerland\, 1871–2022. Popul Stud (NY). https://doi.org/10.1080/00324728.2025.2462291 \nMourits\, R.J.\, Schalk\, R.\, Meroño-Peñuela\, A.\, Raad\, J.\, Rijpma\, A.\, van den Hout\, B.\, Zijdeman\, R.L.\, 2021. Retracing Hotbeds of the 1918–19 Influenza Pandemic. Spatial Differences in Seasonal Excess Mortality in the Netherlands. Hist Life Course Stud 10\, 145–150. https://doi.org/10.51964/HLCS9584 \nStaub\, K.\, Panczak\, R.\, Matthes\, K.L.\, Floris\, J.\, Berlin\, C.\, Junker\, C.\, Weitkunat\, R.\, Mamelund\, S.E.\, Zwahlen\, M.\, Riou\, J.\, 2022. Historically High Excess Mortality During the COVID-19 Pandemic in Switzerland\, Sweden\, and Spain. https://doi.org/10.7326/M21-3824 175\, 523–532. https://doi.org/https://doi.org/10.7326/M21-3824 \nSuter\, J.\, Devos\, I.\, Matthes\, K.L.\, Staub\, K.\, 2024. The health and demographic impacts of the “Russian flu” pandemic in Switzerland in 1889/1890 and in the years thereafter. Epidemiol Infect 1–24. https://doi.org/10.1017/S0950268824001651 \nZiegler\, E.\, Matthes\, K.L.\, Middelkamp\, P.W.\, Schuenemann\, V.J.\, Althaus\, C.L.\, Rühli\, F.\, Staub\, K.\, 2025. Retrospective modelling of the disease and mortality burden of the 1918–1920 influenza pandemic in Zurich\, Switzerland. Epidemics 50\, 100813. https://doi.org/https://doi.org/10.1016/j.epidem.2025.100813. \nYou can find the presentation in .pdf here. \n\n 
URL:https://greatleap.eu/event/online-lecture-10-retrospective-modelling-of-epidemics-using-historical-mortality-data/
LOCATION:Zoom
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