Fuzzy rule base for a COVID-19 surveillance model based on SRAG cases

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Erika Fonseca Camargo Marsico, ANTONIO JOSÉ LEAL COSTA, M S C Lobo, Cláudio Henrique dos Santos Grecco, Fábio Krykhtine, Carlos Alberto Nunes Cosenza
DOI: 10.5281/zenodo.18511603
Cited by: 0

Abstract

This repository contains the complete fuzzy rule base used in a specialist system developed to support COVID-19 epidemiological surveillance. The rules are provided in textual format, including all input variables, linguistic terms, and output classifications. The interpretation of the rules requires the definitions described in the associated manuscript.

Fields of Study & Subjects

Data-Driven Disease Surveillance COVID-19 epidemiological studies Fuzzy Logic and Control Systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Document type
Dataset