Evidence map›Paper›PMID 35627470›Full record

ArticleInternational journal of environmental research and public health2022

A Global Sharing Mechanism of Resources: Modeling a Crucial Step in the Fight against Pandemics.

Katinka den Nijs, Jose Edivaldo, Bas D L Châtel, Jeroen F Uleman, Marcel Olde Rikkert, Heiman Wertheim, Rick Quax

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Katinka den NijsComputational Science Lab, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0001-7201-9796
Jose EdivaldoComputational Science Lab, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands.
Bas D L ChâtelRadboud University Medical Center, Department of Geriatric Medicine, 6500 GL Nijmegen, The Netherlands.ORCID 0000-0001-8778-0131
Jeroen F UlemanRadboud University Medical Center, Department of Geriatric Medicine, 6500 GL Nijmegen, The Netherlands.ORCID 0000-0001-5050-8505
Marcel Olde RikkertRadboud University Medical Center, Department of Geriatric Medicine, 6500 GL Nijmegen, The Netherlands.ORCID 0000-0003-1397-1677
Heiman WertheimRadboud Center for Infectious Diseases, Department of Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-5003-5565
Rick QuaxComputational Science Lab, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0002-0299-0074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To face crises like the COVID-19 pandemic, resources such as personal protection equipment (PPE) are needed to reduce the infection rate and protect those in close contact with patients. The increasing demand for those products can, together with pandemic-related disruptions in the global supply chain, induce major local resource scarcities. During the first phase of the COVID-19 pandemic, we witnessed a reflex of 'our people first' in many regions. In this paper, however, we show that a cooperative sharing mechanism can substantially improve the ability to face epidemics. We present a stylized model in which communities share their resources such that each can receive them whenever a local epidemic flares up. Our main finding is that cooperative sharing can prevent local resource exhaustion and reduce the total number of infected cases. Crucially, beneficial effects of sharing are found for a large range of possible community sizes and cooperation combinations, not only for small communities being helped by large communities. Furthermore, we show that the success of sharing resources heavily depends on having a sufficiently long delay between the onsets of epidemics in different communities. These results thus urge for the pairing of a global sharing mechanism with measures to slow down the spread of infections from one community to the other. Our work uses a stylized model to convey an important and clear message to a broad public, advocating that cooperative sharing strategies in international resource crises are the most beneficial strategy for all. It stresses essential underlying principles of and contributes to designing a resilient global supply chain mechanism able to deal with future pandemics by design, rather than being subjected to the coincidental and unequal distribution of opportunities per community that we see at present.

Indexed as

COVID-19PandemicsHumanscollaborationCOVID-19personal protection equipmentresiliencesupply chain

Identifiers

PMID35627470
PMCPMC9141328

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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.