Evidence map›Paper›PMID 34803199›Full record

ArticleInsurance, mathematics & economics2021

Pandemic risk management: Resources contingency planning and allocation.

Xiaowei Chen, Wing Fung Chong, Runhuan Feng, Linfeng Zhang

Abstract read
In one paragraph

Article in Insurance, mathematics & economics, 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. Minimizing Societal Cost of Epidemics: Optimal Catastrophe Insurance Compensation Allocation.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Disease burden attributable to respiratory syncytial virus outbreaks in long-term care.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    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

4 authors.

Xiaowei ChenSchool of Finance, Nankai University, China.
Wing Fung ChongDepartment of Mathematics and Department of Statistics, University of Illinois at Urbana-Champaign, United States of America.
Runhuan FengDepartment of Mathematics, University of Illinois at Urbana-Champaign, United States of America.
Linfeng ZhangDepartment of Mathematics, University of Illinois at Urbana-Champaign, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The repeated history of pandemics, such as SARS, H1N1, Ebola, Zika, and COVID-19, has shown that pandemic risk is inevitable. Extraordinary shortages of medical resources have been observed in many parts of the world. Some attributing factors include the lack of sufficient stockpiles and the lack of coordinated efforts to deploy existing resources to the locations of greatest need. This paper investigates contingency planning and resources allocation from a risk management perspective, as opposed to the prevailing supply chain perspective. The key idea is that the competition for limited critical resources is not only present in different geographical locations but also at different stages of a pandemic. This paper draws on an analogy between risk aggregation and capital allocation in finance and pandemic resources planning and allocation for healthcare systems. The main contribution is to introduce new strategies for optimal stockpiling and allocation balancing spatio-temporal competition for medical supply and demand.

Indexed as

Contingency planningCOVID-19Emergency responsePandemic risk managementRationingResources allocationStockpiling

Identifiers

PMID34803199
PMCPMC8593845

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.