Evaluation of statistical process control charts for infant mortality monitoring in Brazilian cities with different population sizes
In this article, we evaluate the effectiveness of the statistical process control chart in the context of Brazilian cities. We present three categories of city groups, divided based on population size and classified according to the quality of the analyses when subjected to the control method: consistent, interpretable, and inconsistent. In cities with a large population, the data in these contexts show a lower noise level and reliable results. However, in intermediate and small-sized cities, the technique becomes limited in detecting deviations from expected behaviors, resulting in reduced reliability of the generated patterns and alerts.
Authors
- Ronaldo Fernandes Santos Alves (ORCID: https://orcid.org/0000-0002-8358-0519)
- Eduardo Bezerra (ORCID: https://orcid.org/0000-0001-9177-5503)
- Eduardo Ogasawara (ORCID: https://orcid.org/0000-0002-0466-0626)
- Kele Belloze (ORCID: https://orcid.org/0000-0001-6257-2520)
- Laís Baroni (ORCID: https://orcid.org/0000-0002-8099-2593)
- Marcel Pedroso (ORCID: https://orcid.org/0000-0002-7323-2107)
- Cristiano Siqueira Boccolini (ORCID: https://orcid.org/0000-0002-4804-5641)
- Jéssica Souza (ORCID: https://orcid.org/0000-0002-6092-8834)
Institutions
- Federal Center for Technological Education of Minas Gerais (BR)
- Fundação Oswaldo Cruz (BR)
Publication Details
- Journal
- BMC Research Notes
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1186/s13104-024-06943-0
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Bill and Melinda Gates Foundation
- 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