onr:"swepub:oai:gup.ub.gu.se/314090"
Search: onr:"swepub:oai:gup.ub.gu.se/314090" > Prediction models f...
- 1 of 1
- Previous record
- Next record
- To hitlist
Prediction models for planning health care resources. During the first wave of the Covid-19 pandemic 2020
-
- Grimby-Ekman, Anna, 1967 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine
-
- Cronie, Ottmar, 1979 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Department of Mathematical Sciences,Institute of Medicine, School of Public Health and Community Medicine
-
- Bock, David, 1976 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa,Institute of Medicine, School of Public Health and Community Medicine
- show more...
- Palaszewski, Bo (author)
- Norman Kjellström, Anna (author)
- show less...
- (creator_code:org_t)
- ISBN 9789152728116
- Göteborgs universitet, 2022
- English.
- Reports (other academic/artistic)
Abstract
Subject headings
Close
- Due to the Covid-19 pandemic, has emphasized a need for planning health care resources based on only a few aggregated data points and little knowledge of the data-generating process. In the first part of the report, we present the process of our work in spring 2020 during the first wave and especially during the first part with the high demands on health care resources. In the second part of the report, we discuss the logistic growth model (LGM), one of our models used to predict the peak height and the peak timing. We present some different approaches to use the LGM, and compare these to a different data set, Belgium data. For the Swedish regional data, the LGM on raw observations gave a good estimate on the peak height. The adjusted LGM, using cumulative new inpatient beds, fitted the Swedish regional data to a satisfying degree. For the Belgium data, the LGM on raw observations gave a good estimate on peak height and timing. The adjusted LGM, using cumulative new inpatient beds, did not work for the Belgium data as it gave a too early peak time and a too low peak height. The experience from our work, in combination with now existing literature, the process in a similar future situation would include better knowledge on how to find and combine data to get as reliable forecasts as possible and to use creativity in combination with theoretical competence.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Keyword
- Covid-19
- forecasting
- health care resources
Publication and Content Type
- vet (subject category)
- rap (subject category)
Find in a library
- Prediction models for planning health care resources. During the first wave of t... (Search the publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Grimby-Ekman, An ...
- Cronie, Ottmar, ...
- Bock, David, 197 ...
- Palaszewski, Bo
- Norman Kjellströ ...
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Health Sciences
- and Public Health Gl ...
- By the university
- University of Gothenburg
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
