Modeling the COVID-19 vaccination process using the FRAM Method

Abstract Vaccination is crucial in a primary care unit and relevant for society. This study aimed to map and analyze the COVID-19 vaccination process adopting Resilience Engineering concepts to identify possible sources of failure and recommend improvements. A case study was conducted in a Primary Health Care unit, and data were collected through semi-structured interviews in a cross-sectional study. The vaccination process was analyzed and modeled using the Functional Resonance Analysis Method (FRAM), which provided a greater understanding of the procedural flow and the identification of the system’s primary functions and points of variability. The results pointed out the couplings between functions that can generate high variability, which engineered improvements in the system’s resilience by proposing countermeasures for the situations identified as bottlenecks.

Authors

Institutions

Publication Details

Journal
Ciência & Saúde Coletiva
Published
2025-01-01
DOI
https://doi.org/10.1590/1413-81232025306.03302025en
Citations
1
Primary Topic
Disaster Response and Management
Type
article
Field-Weighted Citation Impact
2.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling the COVID-19 vaccination process using the FRAM Method

Alessandra Barrias Loureiro, Mônica Ferreira da Silva, Nathália Miranda do Nascimento, Cláudia Affonso Silva Araújo et al.
1 citations
Ciência & Saúde Coletiva
Disaster Response and Management
2.52
article

Modeling the COVID-19 vaccination process using the FRAM Method

Alessandra Barrias Loureiro, Mônica Ferreira da Silva, Nathália Miranda do Nascimento, Cláudia Affonso Silva Araújo, Arlindo Souza Amaral Neto, Sildenir Alves Ribeiro, María del Pilar Anto Rubio
article en
1 citations

Abstract

Abstract Vaccination is crucial in a primary care unit and relevant for society. This study aimed to map and analyze the COVID-19 vaccination process adopting Resilience Engineering concepts to identify possible sources of failure and recommend improvements. A case study was conducted in a Primary Health Care unit, and data were collected through semi-structured interviews in a cross-sectional study. The vaccination process was analyzed and modeled using the Functional Resonance Analysis Method (FRAM), which provided a greater understanding of the procedural flow and the identification of the system’s primary functions and points of variability. The results pointed out the couplings between functions that can generate high variability, which engineered improvements in the system’s resilience by proposing countermeasures for the situations identified as bottlenecks.

Ciência & Saúde ColetivaVol. 30(6)
Universidade Federal do Rio de Janeiro (BR), Federal Center for Technological Education Celso Suckow da Fonseca (BR), Universidad San Ignacio de Loyola (PE)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Fundação Oswaldo Cruz
Openalex Percentile: Top 12%
Disaster Response and Management
2.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.