LONGPOP | Dissemination-Web Site Longpop
Dissemination - Webpage of the EU Horizon 2020 Marie Sklodowska-Curie MSCA-ITN Project LONGPOP (Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers)
Horizon 2020, H2020, Longitudinal analysis, Demography, Population Studies, Epidemiology, Statistics, Mathematics, Economics, Geography, History, GIS, Big Data, Data Analysis, Quantitative Methods, Public Health.
page,page-id-15609,page-template,page-template-full_width,page-template-full_width-php,ajax_fade,page_not_loaded,,qode-title-hidden,side_area_uncovered_from_content,qode-theme-ver-8.0,wpb-js-composer js-comp-ver-4.9.2,vc_responsive
Databases and catalogues

This section shows the work with catalogues and datasets undertaken by the LONGPOP consortium. It also contains new ways of systematising the information from different health and population registers.


This section will be updated soon.


International Seminar  on ‘Pandemics: Reflections on the Centennial of the 1918 Spanish Influenza Virus’

The seminar will take place from 27 to 29 November 2017 in the Centre for Humanities and Social Sciences of the Spanish National Research Council (CCHS-CSIC), in C/Albasanz, 26-28, Madrid.

The study of infectious disease and mortality lies within the core of research agendas of different scientific fields, from life sciences to historical demography. Among infectious diseases, influenza remains at the center of the debate on international health. Concerns about the appearance of new influenza pandemics make the study of this disease a crucial research area. The upcoming centenary of the 1918 Spanish influenza pandemic offers a timely opportunity for an IUSSP scientific meeting to take stock of the state of what has been learned from 1918 and in the ensuing century and to include the considerable ongoing work on the evolution, dynamics and impact of influenza pandemic.  We aim to connect the research agenda of the IUSSP Scientific Panel on Historical Demography to the work carried out by contemporary demographers and epidemiologists, and we welcome papers approaching the study of influenza and influenza pandemics through different perspectives and research methods.

A total of 23 papers have been accepted for presentation, in topics such as: influenza age mortality patterns and transmission dynamics over space and time, urban/rural disparities in flu mortality, influenza mortality and urban development, newly uncovered archival datasets, preservation and access to historic records, examinations of evidence of early pandemic waves, and studies that characterize patterns of the spread and impact of 1918 pandemic on general and military populations.

The final programme of the seminar will be available in the following days.

This seminar is organized by the IUSSP Scientific Panel on Historical Demography, the Spanish National Research Council (Spain) Fogarty IC/National Institutes of Health (U.S.), University of Copenhagen (Denmark), and University of Castilla-La Mancha (Spain). Moreover, the Seminar counts with the support of the LONGPOP project and it is part of the dissemination activities foreseen in it. 

The Organizing Committe is composed by Diego Ramiro (CSIC), Cecile Viboud (NIH/FIC), Gerardo Chowell (Georgia State U & FIC), Lone Simonsen (University of Copenhagen), Esteban Rodríguez Ocaña (University of Granada), María Isabel Porras Gallo (University of Castilla-La Mancha), Beatríz Echeverry Dávila, Rafael Huertas (CSIC) and Ricardo Campos (CSIC).

One of the LONGPOP Early-Stage Researcher, Laura Cilek, will be presenting two papers: ‘Four Waves of Spanish Influenza in Madrid: Examining strength and timing differences across space ‘ and ‘The Spanish Influenza in Madrid: Excess Mortality by Age in Four Consecutive Waves’.

International Seminar Pandemics Poster

DISCLAIMER: The results published in this website reflect only the author(s)’s view and the Research Executive Agency is not responsible for any use that may be made of the information they contain.