The Life with Corona survey

Bibliographic Data

ID4595096
AuthorsWolfgang Stojetz (0000-0001-8769-3097, Humboldt-Universität zu Berlin, corresponding author), Neil T N Ferguson (0000-0001-8363-433X, International Security and Development Center), Ghassan Baliki (0000-0002-3070-0222, Leibniz Institute of Vegetable and Ornamental Crops), Óscar Díaz (0000-0001-7271-9469), Oswaldo Diaz Diaz (0000-0002-5268-3320, International Security and Development Center), Jan Elfes (0000-0001-8185-0012, International Security and Development Center), Damir Esenaliev (0000-0002-4578-7180, International Security and Development Center), Hanna Freudenreich (0000-0003-2255-7996, Leibniz Institute of Vegetable and Ornamental Crops), Anke Koebach (0000-0002-8666-9586, University of Konstanz), Liliana Abreu (0000-0003-1110-6508, University of Konstanz), Laura Peitz (0000-0003-4495-591X, International Security and Development Center), Ani Todua (International Security and Development Center), Monika Schreiner (0000-0002-5629-4429, Leibniz Institute of Vegetable and Ornamental Crops), Anke Hoeffler (0000-0002-0684-6096, University of Konstanz), Patricia Justino (0000-0001-9282-8945, United Nations University World Institute for Development Economics Research), Thalita Bruck (0000-0002-8344-8948, International Security and Development Center)
Year2022
Volume306
Pages115109
Publication date2022-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2022.115109
PMID35724582
OpenAlexW4281649396
LanguageEN
Citations received2
References cited15

The COVID-19 pandemic is a global crisis affecting everyone. Yet, its challenges and countermeasures vary significantly over time and space. Individual experiences of the pandemic are highly heterogeneous and its impacts span and interlink multiple dimensions, such as health, economic, social and political impacts. Therefore, there is a need to disaggregate "the pandemic": analysing experiences, behaviours and impacts at the micro level and from multiple disciplinary perspectives. Such analyses require multi-topic pan-national survey data that are collected continuously and can be matched with other datasets, such as disease statistics or information on countermeasures. To this end, we introduce a new dataset that matches these desirable properties - the Life with Corona (LwC) survey - and perform illustrative analyses to show the importance of such micro data to understand how the pandemic and its countermeasures shape lives and societies over time

Coronavirus disease 2019 (COVID-19 · Data science · Disease · Geography · Pandemic · Political science · Politics · Regional science · Statistics · Survey data collection · Computer Science · COVID-19 and Mental Health · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Mathematics · Medicine

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