Evidence map›Paper›PMID 32954400›Full record

ArticleInternational journal of epidemiology2020

COVID-19 healthcare demand and mortality in Sweden in response to non-pharmaceutical mitigation and suppression scenarios.

Henrik Sjödin, Anders F Johansson, Åke Brännström, Zia Farooq, Hedi Katre Kriit, Annelies Wilder-Smith, Christofer Åström, Johan Thunberg, Mårten Söderquist, Joacim Rocklöv

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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  13. Health economic burden of COVID-19 in Saudi Arabia.Frontiers in public health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 4 countries.

Henrik SjödinDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
Anders F JohanssonDepartment of Clinical Microbiology and the Laboratory for Molecular Infection Medicine Sweden, Umeå University, Umeå, Sweden.
Åke BrännströmDepartment of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.
Zia FarooqDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
Hedi Katre KriitDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
Annelies Wilder-SmithDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Christofer ÅströmDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
Johan ThunbergDepartment of Surgical and Perioperative Sciences, Anesthesiology and Intensive Care Medicine, Umeå University, Umeå Sweden.
Mårten SöderquistDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
Joacim RocklövDepartment of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden.
Umeå University · SEHeidelberg University · DEInternational Institute for Applied Systems Analysis · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the COVID-19 outbreak in China now appears suppressed, Europe and the USA have become the epicentres, both reporting many more deaths than China. Responding to the pandemic, Sweden has taken a different approach aiming to mitigate, not suppress, community transmission, by using physical distancing without lockdowns. Here we contrast the consequences of different responses to COVID-19 within Sweden, the resulting demand for care, intensive care, the death tolls and the associated direct healthcare related costs.

methodsWe used an age-stratified health-care demand extended SEIR (susceptible, exposed, infectious, recovered) compartmental model for all municipalities in Sweden, and a radiation model for describing inter-municipality mobility. The model was calibrated against data from municipalities in the Stockholm healthcare region.

resultsOur scenario with moderate to strong physical distancing describes well the observed health demand and deaths in Sweden up to the end of May 2020. In this scenario, the intensive care unit (ICU) demand reaches the pre-pandemic maximum capacity just above 500 beds. In the counterfactual scenario, the ICU demand is estimated to reach ∼20 times higher than the pre-pandemic ICU capacity. The different scenarios show quite different death tolls up to 1 September, ranging from 5000 to 41 000, excluding deaths potentially caused by ICU shortage. Additionally, our statistical analysis of all causes excess mortality indicates that the number of deaths attributable to COVID-19 could be increased by 40% (95% confidence interval: 0.24, 0.57).

conclusionThe results of this study highlight the impact of different combinations of non-pharmaceutical interventions, especially moderate physical distancing in combination with more effective isolation of infectious individuals, on reducing deaths, health demands and lowering healthcare costs. In less effective mitigation scenarios, the demand on ICU beds would rapidly exceed capacity, showing the tight interconnection between the healthcare demand and physical distancing in the society. These findings have relevance for Swedish policy and response to the COVID-19 pandemic and illustrate the importance of maintaining the level of physical distancing for a longer period beyond the study period to suppress or mitigate the impacts from the pandemic.

Indexed as

Communicable Disease ControlCOVID-19Health Services Needs and DemandEpidemiological MonitoringHealth Care CostsHumansModels, TheoreticalMortalityPatient IsolationPhysical DistancingSARS-CoV-2Swedencare demandcorona virusCOVID-19deathsepidemicepidemiologyexcess mortalityinfectionsintensive care demandmortalityoutbreakpandemicSARS-CoV-2Sweden

Identifiers

PMID32954400
PMCPMC7543571
OpenAlexW3087248956

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.