Evidence map›Paper›PMID 32394997›Full record

ArticleInternational journal of information management2020

Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China.

Shan L Pan, Miao Cui, Jinfang Qian

Abstract readCase Reports
In one paragraph

Article in International journal of information management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  13. Planetary health & COVID-19: A multi-perspective investigation.One health (Amsterdam, Netherlands) · 2022
    Review
  14. Interaction between Health and Financial Status on Coping Behaviors during the COVID-19 Pandemic.International journal of environmental research and public health · 2022
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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.

Shan L PanSchool of Information Systems and Technology Management, UNSW Business School, University of New South Wales (UNSW), Room 2015, West Wing, Quadrangle, Sydney, 2052, Australia.
Miao CuiSchool of Economics and Management, Dalian University of Technology, Room D622, School of Economics and Management, 2#Linggong Road, Dalian 116024, China.
Jinfang QianSchool of Economics and Management, Dalian University of Technology, Room E411, School of Economics and Management, 2#Linggong Road, Dalian 116024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the COVID-19 pandemic has created significant challenges for people worldwide. To combat the virus, one of the most dramatic measures was the lockdown of 4 billion people in what is believed to be the largest quasi-quarantine in human history. As a response to the call to study information behavior during a global health crisis, we adopted a resource orchestration perspective to investigate six Chinese families who survived the lockdown. We explored how elderly, young and middle-aged individuals and children resourced information and how they adapted their information behavior to emerging online technologies. Two information resource orchestration practices (information resourcing activities and information behavior adaptation activities) and three mechanisms (online emergence and convergence in community resilience, the overcoming of information flow impediments, and the application of absorptive capacity) were identified in the study.

Indexed as

COVID-19Information behaviorLockdownResource orchestration

Identifiers

PMID32394997
PMCPMC7211621

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.