Evidence map›Paper›PMID 34002395›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2021

Global Systemic Risk and Resilience for Novel Coronavirus and COVID-19.

Desheng Dash Wu, Jade Mitchell, James H Lambert

Abstract readEditorial
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2021. 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. Article
  2. Article
  3. Article
  4. Global systemic risk and resilience for novel coronavirus in postpandemic era.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    Article
  5. 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

3 authors.

Desheng Dash WuUniversity of Chinese Academy of Sciences, No.80, Zhongguancun East Road Haidian District, Beijing, China, 100190.
Jade MitchellDepartment of Biosystems Engineering, Michigan State University, and Chair, SRA Specialty Group on Microbial Risk Analysis, East Lansing, MI, USA.
James H LambertUniversity of Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Special Issue is dedicated to issues and challenges related to pandemic risk and resilience, with a focus on policy and operations of global systems in the COVID-19 pandemic. The cascading effects of emerging and reemerging infectious diseases to the global economy are a critical interest. Measures to confront the ongoing pandemic are an urgent need. Data analysis at regional and global scales is helping to prioritize response and resilience across locations of high risks. The risk sciences are available for addressing human health and infection risks; the evaluation of risk management strategies and tradeoffs; risk perception as it relates to information processing and receiving risk communication; and tracking system resilience as it relates to various imposed measures.

Indexed as

COVID-19HumansPandemicsRisk AssessmentSARS-CoV-2artificial intelligencecascading effectsData analyticsengineering systemspandemicresiliencerisk analysis

Identifiers

PMID34002395
PMCPMC8206847

What OpenQuestion holds

Textmetadata
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.