The latest news, research, and other resources produced by members of the IIASA community who are working to provide decision-makers with the information they need to address the COVID-19 crisis.
News
24 January 2023
How has the COVID-19 pandemic affected immigration?
New research finds a high variation between how pandemic mitigation measures affected immigration to different destination countries, from a slight increase to huge reductions.
24 November 2022
How COVID-19 school closures will affect inequalities in adult skills
School closures due to the COVID-19 pandemic affected learning to varying degrees in different countries. A new study sheds light on what this learning loss will mean for countries' human capital in the decades to come.
23 November 2022
What was the true human cost of the pandemic in Russia?
A new study assesses the number of lives lost to the COVID-19 pandemic in Russia and introduces a novel methodology that will help to get a clearer view of pandemics in the future.
Events
Blog
20 May 2021
How has the COVID-19 pandemic affected the urban poor?
Benigna Boza-Kiss, Shonali Pachauri, and Caroline Zimm explain how COVID-19 has impacted the poor in cities and what can be done to increase the future resilience of vulnerable populations.
15 April 2021
Using the COVID-19 pandemic to transform the energy sector
The IIASA-ISC Rethinking Energy Solutions Report identifies the negative and positive lessons learnt from the ongoing COVID-19 pandemic in relation to energy consumption and demand, and recommends several immediate actions.
08 April 2021
Restructuring the food system after COVID-19
The IIASA-ISC Resilient Food Systems report looks at the vulnerabilities in the food system and recommends changes to move forward through COVID-19 recovery plans that prioritize society’s least protected.
Publications
Joshi, M., Weber, D. , & Goujon, A. (2026). Transitions in and out of Loneliness During the COVID‐19 Pandemic: A Latent Class Analysis of Older Adults in England. Sociology of Health & Illness 48 (1) e70138. 10.1111/1467-9566.70138.
Mir, K.A., Purohit, P. , Hayat, M., Witi, J., Ali, B., & Mehmood, S. (2026). COVID-19 impacts and post-pandemic rebound in Pakistan’s sectoral greenhouse gas emissions (2018–2023). Environmental Science and Pollution Research 33 177-192. 10.1007/s11356-025-37322-2.
Radhuber, I. , Fiske, A., & Prainsack, B. (2025). Health in a changing climate: Perceptions of 'broken relationships' during COVID-19 in Austria. SSM - Qualitative Research in Health 8 e100582. 10.1016/j.ssmqr.2025.100582.
Żebrowski, P. , Boyarshinov, G., Odintsova, A., & Rovenskaya, E. (2025). Explaining COVID-19 dynamics through user activity data from digital platforms with Yandex’s self-isolation index as a case study. Scientific Reports 15 (1) e40709. 10.1038/s41598-025-24240-z.
Ghio, Daniela, Goujon, Anne , & Bosco, Claudio (2024). Mobility patterns in Austrian and Italian municipalities in the decade before and during the COVID‐19 era. Population, Space and Place e2848. 10.1002/psp.2848.
Lu, C., Huang, Y., Yu, Y., Hu, J., Mo, H., Li, Y., Huo, D., Song, X., Huang, X., Sun, Y., Liu, K., Zhang, S. , Morrissey, K., Hong, J., Deng, Z., Du, Z., Creutzig, F., & Liu, Z. (2024). Health co-benefits of post-COVID-19 low-carbon recovery in Chinese cities. Nature Cities 1 (10) 695-705. 10.1038/s44284-024-00115-8.
Atoyev, K., Bogdanov, O., Knopov, P., & Korkhin, A. (2024). Some Approaches of Using Stochastic Models of Epidemiology to the Problem of COVID-19. In: Nexus of Sustainability. Eds. Zagrorodny, A., Bogdanov, V., & Zaporozhets, A., pp. 211-227 Springer. 10.1007/978-3-031-66764-0_10.
González-Leonardo, M., Rowe, F., Potančoková, M. , & Goujon, A. (2024). Assessing the Differentiated Impacts of COVID-19 on the Immigration Flows to Europe. International Migration Review e01979183241242445. 10.1177/01979183241242445.
Klimek, P., Ledebur, K., Gyimesi, M., Ostermann, H., & Thurner, S. (2024). Forecasting the Early Impact of COVID-19 on Physician Supply in EU Countries. International Journal of Health Policy and Management 13 (1) 1-11. 10.34172/ijhpm.2024.7555.
Sokolov, A., Royzenson, G., Komendantova, N. , & Ekenberg, L. (2024). Technology for Creating Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects (on the Example of the Covid-19 Epidemic). In: 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). Eds. Aliev, R., Yusupbekov, N., Kacprrzk, J., Pedrycz, W., Babanli, M., Sadikoglu, F., & Turabdjanov, S., pp. 202-209 Springer. 10.1007/978-3-031-51521-7_26.