Evidence map›Paper›PMID 40476956›Full record

ArticlePravention und Gesundheitsforderung2020

[Assessment of the pandemic phase 3 - mitigation - from the endpoint hospitalization].

Josef Weigl

Abstract readEnglish Abstract
In one paragraph

Article in Pravention und Gesundheitsforderung, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Josef WeiglGesundheitsamt Plön, Schleswig-Holstein, Hamburgerstr. 17/18, 24306 Plön, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The phase 3-"mitigation"-of the current pandemic by SARS-CoV‑2 is now imminent also in Germany. Given the high complexity many issues have to be taken into account. Simplification is urgently warranted not to loose focus of the important things to be done. Methods: To look at phase 3 from the endpoint-in this case hospital admission-should facilitate the focus on key variables upstream. Based on a simplified model of approximated and plausible parameters for the overall attack rate (AR), the AR(hospitalization) and the AR(ICU admission), the resources needed are compared with the available resources i.e. number of beds available in general and beds in ICU in particular. The calculations are carried out population-based for Ploen County as well as regionally together with the Kiel metropolitan area. Results: Since the ARs in the up do date available cohorts are overestimated, considerably lower AR(hospitalization) and AR(ICU) should be expected. An AR(hospitalization) of 10% could not be materialized in Ploen County; one with 5% could. In the regional analysis together with the University Hospital Kiel (UKSH) an AR(hospitalization) of up to 10% is feasible, as also an AR(ICU) of 3%. The kinetics of hospital admissions is, however, dependent from countermeasures in public health as well as admission habits of the family physicians. The available number of beds is determined by beds made available and by the mean duration of hospitalization. The latter depends from the age and underlying conditions of the patients. Conclusions: System failure has to be averted by clarity in regard to the key parameters and their independent variables. The regional management is crucial and should be coordinated by a so-called bed-coordinator. Close cooperation allover the health care system is needed in alliance with the local health departments.

Indexed as

Attack rateBed coordinatorBedsHospitalizationSARS-CoV‑2

Identifiers

PMID40476956
PMCPMC7149024

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.