Evidence map›Paper›PMID 36688141›Full record

ArticleEuropean journal of operational research2023

A multiple criteria approach for building a pandemic impact assessment composite indicator: The case of COVID-19 in Portugal.

José Rui Figueira, Henrique M Oliveira, Ana Paula Serro, Rogério Colaço, Filipe Froes, Carlos Robalo Cordeiro, António Diniz, Miguel Guimarães

Open access · hybridAbstract read
In one paragraph

Article in European journal of operational research, 2023. 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
3.5field-weighted citation impact, top 7% of its field
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, 16 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

José Rui FigueiraCEGIST, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1, Lisboa 1049-001, Portugal.
Henrique M OliveiraCAMGSD, Instituto Superior Técnico, Universidade de Lisboa, Portugal.
Ana Paula SerroCQE, Instituto Superior Técnico, Universidade de Lisboa, Portugal.
Rogério ColaçoIDMEC, Instituto Superior Técnico, Universidade de Lisboa, Portugal.
Filipe FroesGCOM, Ordem dos Médicos, Portugal.
Carlos Robalo CordeiroGCOM, Ordem dos Médicos, Portugal.
António DinizGCOM, Ordem dos Médicos, Portugal.
Miguel GuimarãesGCOM, Ordem dos Médicos, Portugal.
Ordem dos Médicos · PTUniversity of Lisbon · PTInstituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has caused major damage and disruption to social, economic, and health systems (among others). In addition, it has posed unprecedented challenges to public health and policy/decision-makers who have been responsible for designing and implementing measures to mitigate its strong negative impact. The Portuguese health authorities have used decision analysis techniques to assess the impact of the pandemic and implemented measures for counties, regions, or across the entire country. These decision tools have been subject to some criticism and many stakeholders requested novel approaches. In particular, those which considered the dynamic changes in the pandemic's behaviour due to new virus variants and vaccines. A multidisciplinary team formed by researchers from the COVID-19 Committee of Instituto Superior Técnico at the University of Lisbon (CCIST analyst team) and physicians from the Crisis Office of the Portuguese Medical Association (GCOM expert team) collaborated to create a new tool to help politicians and decision-makers to fight the pandemic. This paper presents the main steps that led to the building of a pandemic impact assessment composite indicator applied to the specific case of COVID-19 in Portugal. A multiple criteria approach based on an additive multi-attribute value theory aggregation model was used to build the pandemic assessment composite indicator. The parameters of the additive model were devised based on an interactive socio-technical and co-constructive process between the CCIST and GCOM team members. The deck of cards method was the adopted technical tool to assist in the assessment the value functions as well as in the assessment of the criteria weights. The final tool was presented at a press conference and had a powerful impact on the Portuguese

Indexed as

Composite indicatorDeck of cards methodMulti-attribute value theory (MAVT)Multiple criteria analysisRobustness and validation analyses

Identifiers

PMID36688141
PMCPMC9847371
OpenAlexW4317378065

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.