Evidence map›Paper›PMID 38370318›Full record

ArticleHealth systems (Basingstoke, England)2024

Resilience as a measure of preparedness for pandemic influenza outbreaks.

Daniel Romero Rodriguez, Walter Silva, Alex Savachkin, Tapas Das, Julio Daza

Abstract read
In one paragraph

Article in Health systems (Basingstoke, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Daniel Romero RodriguezIndustrial Engineering Department, Universidad del Norte, Barranquilla, Colombia.
Walter SilvaIndustrial & Management Systems Engineering, University of South Florida, Tampa, Florida, United States.
Alex SavachkinIndustrial & Management Systems Engineering, University of South Florida, Tampa, Florida, United States.
Tapas DasIndustrial & Management Systems Engineering, University of South Florida, Tampa, Florida, United States.
Julio DazaIndustrial Engineering Department Universidad Sergio Arboleda, Bogota, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global crisis generated by COVID-19 has heightened awareness of pandemic outbreaks. From a public health preparedness standpoint, it is essential to assess the impact of a pandemic and also the resilience of the affected communities, which is the ability to withstand and recover quickly after a pandemic outbreak. The infection attack rate has been the common metric to assess community response to a pandemic outbreak, while it focuses on the number of infected it does not capture other dimensions such as the recovery time. The aim of this research is to develop community resilience measures and demonstrate their estimation using a simulated pandemic outbreak in a region in the USA. Three scenarios are analysed with different combinations of virus transmissibility rates and non-pharmaceutical interventions. I The inclusion of the resilience framework in the pandemics outbreak analysis will enable decision makers to capture the multi dimensional nature of community response.

Indexed as

community resiliencepandemic recoveryresilience capacitiesResilience metric

Identifiers

PMID38370318
PMCPMC10868421

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.