Evidence map›Paper›PMID 40476948›Full record

ArticlePravention und Gesundheitsforderung2020

[Challenges in infectious disease control and the current pandemic by skewed distributions].

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
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 pandemic phase 3-mitigation-by the SARS-Coronavirus‑2 is currently taking on speed in Germany. Skewed distributions of key epidemiological parameters of the virus and patient care are a challenge for the control of the outbreak as well as keeping the system functional. Methods: The skewed parameters-pre-patency period, incubation period, duration of viral shedding and time to admission to hospital-are analyzed in regard to their impact and possible countermeasures. Results: The skewed distributions are exclusively time related variables. They are a handicap for outbreak control as well patient management. Optimization between residual open flanks and the efforts to close them is difficult. The main stakeholders are the local health departments, the diagnostic laboratories, the health care infrastructure and finally the citizens in regard to the burden due to non-pharmaceutical interventions including quarantine and isolation. The duration of quarantine and isolation should urgently be shortened for health care workers (HCW) as well as people in critical infrastructure by ready (re-) testing. Calculated risks have to be taken within a phase 3 of a pandemic to keep a system going. Conclusions: The skewed distributions are a special challenge for infectious disease control. In the case of ending quarantine and isolation in phase 3 of the pandemic, they should be judged specifically in regard to the client/patient. Cumulative distribution functions are very helpful in this regard.

Indexed as

Case managementDistribution functionHospitalizationIncubation periodPre-patency periodViral shedding

Identifiers

PMID40476948
PMCPMC7149270

What OpenQuestion holds

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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.