Indigenous people & Pandemics

The influenza pandemics of 1918 and 2009, as well as the ongoing COVID-19, show that Indigenous people have extremely high risk of severe disease outcomes, but the reasons for this vulnerability are unclear. This week, the head of PANSOC, Svenn-Erik Mamelund, will hold a talk on Indigenous people & Pandemics for the “Indigenous Peoples and Development Branch, Division for Inclusive Social Development, Department of Economic and Social Affairs, at the United Nations in New York”

The influenza pandemic hit the native communities in Alaska hard. These children in an orphanage in Nushagak, Alaska, lost their parents. Summer of 1919. Source: Alaska Historical Library

The influenza pandemic hit the native communities in Alaska hard. These children in an orphanage in Nushagak, Alaska, lost their parents. Summer of 1919. Source: Alaska Historical Library

In August 2022 to June 2023, Mamelund will also lead a CAS-project on this topic. You can read more here:

Social science meets biology: indigenous people and severe influenza outcomes – CAS

Why do Indigenous people have high risk of severe influenza? – CAS,

Announcing the CAS projects 2022/23: from influenza to peace-and-conflict, and algebra – CAS

Webinar video available

Last week, MSCA fellow Jessica Dimka presented her project on disability as a risk factor during the 1918 pandemic. Watch the video here:

https://hioa365-my.sharepoint.com/:v:/g/personal/jara_oslomet_no/ESZHmya9nFpMkfelP-PGWpgBBDsKDgPGhuAuBbFmgVbhZQ?e=xiwyq6

Jessica noted several sources that helped determine disease values used in her simulation model (and similar models for Newfoundland communities – see work by her PhD supervisor, Lisa Sattenspiel, and their colleagues). These sources include:

“‘An Avalanche of Unexpected Sickness’: Institutions and Disease in 1918 and Today.” Chelsea Chamberlain. June 23, 2020. Society for Historians of the Gilded Age and Progressive Era. https://www.shgape.org/an-avalanche-of-unexpected-sickness/

Ferguson, N. M., Fraser, C., Donnelly, C. A., Ghani, A. C., & Anderson, R. M. (2004). Public health risk from the avian H5N1 influenza epidemic. Science, 304(5673), 968–969. https:// doi.org/10.1126/science.1096898

Mills, C. E., Robins, J. M., & Lipsitch, M. (2004). Transmissibility of 1918 pandemic influenza. Nature, 432, 904–906. https://doi.org/10.1038/nature03063

Please join us for the May 20 (1600-1730 CET) webinar with Jessica Dimka

COVID-19 has shown that people with disabilities are at increased risk of severe illness and death during pandemics. Interacting biological and social factors likely contribute to these differences. For example, risks are especially high for those living in institutions.

Yet, few researchers have studied the experiences and outcomes of disabled people during past pandemics, including the 1918 influenza pandemic. As part of the webinar series of the Centre for Research on Pandemics & Society at Oslo Metropolitan University, Jessica Dimka, Ph.D., will present the main results of her Marie Skłodowska-Curie fellowship in her talk, “Disability, Institutionalization, and the 1918 Flu Pandemic: From Historical Records to Simulation Models.”

Key points of the talk include:

  • A comparison of seven Norwegian psychiatric institutes shows that although a higher percentage of staff became ill, more of the residents who did get sick died.
  • Parish records from Sweden suggest that people with recorded disabilities had a higher chance of death than non-disabled people, but this was more apparent for those who were also institutionalized. People with mental health conditions and intellectual disabilities had a higher chance of death than the non-disabled, while other types of disability were not statistically significant.
  • Rich historical records were used to develop a simulation model of a school for children with disabilities to investigate the spread of epidemics within institutions. The model will be described, and preliminary analyses will be presented. For example, the model shows that the pattern and timing of spread are different for teachers and students.

The talk will conclude with a discussion of the relevance of this work for COVID-19 and future pandemics, including areas of future research, policy implications, and the disabling effects of pandemics.

For a Zoom link, please contact jessicad@oslomet.no or masv@oslomet.no

The talk will be in English, and International Sign interpretation is arranged. For general questions about the webinar including accessibility concerns, please contact jessicad@oslomet.no or ninha@oslomet.no

Image description: Image of the simulation model. Social spaces in the school are shown as rectangles of different colors. They include boarding rooms for staff and students, the dining room, a common room, vocational classrooms for training in work skills, and teaching classrooms, as well as an outdoor green space. At the start of a model run, staff (squares) and students (circles) are in their bedrooms. Two staff members have their own rooms, while all others share with 2 to 3 roommates. There are 10 to 12 students in each of the bedrooms. One student is in the upper right corner, because a small number of students often lived outside of the schools. During a model run, the individuals will jump to different social spaces throughout the day. Disease can spread as a result of being neighbors in the same social space with an infected person.
Image description: Image of the simulation model. Social spaces in the school are shown as rectangles of different colors. They include boarding rooms for staff and students, the dining room, a common room, vocational classrooms for training in work skills, and teaching classrooms, as well as an outdoor green space. At the start of a model run, staff (squares) and students (circles) are in their bedrooms. Two staff members have their own rooms, while all others share with 2 to 3 roommates. There are 10 to 12 students in each of the bedrooms. One student is in the upper right corner, because a small number of students often lived outside of the schools. During a model run, the individuals will jump to different social spaces throughout the day. Disease can spread as a result of being neighbors in the same social space with an infected person.