contribution/s of demography during the pandemic (Covid-19)
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Answer:
Explanation:
Between mid-March to mid-June 2020, we collected the articles below in response to the coronavirus pandemic. This is a comprehensive list of what our partner institutes and experts wrote on the topic during this time. We thank the Population Europe community for their contributions to this valuable collection of early research on demography and the COVID-19 crisis.
In light of the spread of the COVID-19, see what our experts are doing to investigate and address this issue. Demography can help us understand how this pandemic has spread and has had a disproportionate effect on certain age groups, as well as why its spread affects everyone. Check out the articles below for more information:
Monitoring life expectancy levels during the COVID-19 pandemic: Example of the unequal impact in Spanish regions, by Sergi Trias-Llimos (London School of Hygiene & Tropical Medicine), Tim Riffe (Max Planck Institute for Demographic Research) and Usama Bilal (Drexel University). Using data from the Spanish Daily Mortality Surveillance System, the authors find drops in weekly life expectancy compared to the same weeks last year. [05/06/2020]
Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world, by Per Block, Marion Hoffman, Isabel J. Raabe, Jennifer Beam Dowd, Charles Rahal, Ridhi Kashyap & Melinda C. Mills of the Leverhulme Centre for Demographic Science, University of Oxford. The authors model the effects of three social distancing strategies on the spread of COVID-19, providing scientific evidence for the positive public health effects of these strategies. [04/06/2020]
Socio-demographic risk factors of COVID-19 deaths in Sweden: A nationwide register study, by Sven Drefahl, Matthew Wallace, Eleonora Mussino, Siddartha Aradhya, Martin Kolk, Maria Brandén, Bo Malmberg & Gunnar Andersson of the Stockholm University Demography Unit (SUDA). Using official Swedish data, the authors find that being male, having less disposable income, a lower education level, not being married, and being an immigrant from a low- or middle-income country all independently predict a higher risk of death from COVID-19. [03/06/2020]
The Human Mortality Database from the Max Planck Institute for Demographic Research, French Institute for Demographic Studies / Institut national d'études démographiques (INED) and University of California, Berkeley has established a new data resource in response to the pandemic. They report weekly death counts, which could be the most objective & comparable way of evaluating excess mortality from COVID-19, for 15 countries. [02/06/2020]
International remittance flows and the economic and social consequences of COVID-19, by Guy J. Abel (Shanghai University, Wittgenstein Centre (IIASA, VID/ÖAW, WU) & International Institute for Applied Systems Analysis, Austria) and Stuart Gietel-Basten (Hong Kong University of Science and Technology). The authors analyse the impact of the pandemic on international remittance flows, showing the global consequences of COVID-19 for migrants participating in the 'global economy of work.' [28/05/2020]
Age, gender and COVID-19 infections, by Tomáš Sobotka, Raya Muttarak, Kryštof Zeman, Vanessa di Lego (all Wittgenstein Centre for Demography and Global Human Capital) and Zuzanna Brzozowska (Masaryk University). Using data from ten European countries, the authors found that among people of working age, women infected with COVID-19 substantially outnumber infected men. After retirement, however, this pattern is reversed, and the male disadvantage in infection rates peaks at ages 70-79. [26/05/2020]