Economics
  • ISSN: 2155-7950
  • Journal of Business and Economics

Groupings of Registered Hospitalization Establishments in TABNET, São Paulo, in the Year 2020, According to the Evolution of Severe Acute Respiratory Syndrome by Covid-19


Antonio Sergio da Silva, Victor de Godoy Terror, Rodrigo Inácio Nogueira, Cesar Augusto Coutinho Ferreira, Fernanda Kelly Marques de Souza Adriano   
(Prevent Senior Institute, São Paulo, Brazil)


Abstract: This research identified 151 hospitalization establishments registered in TABNET in the city of São Paulo regarding patients hospitalized with Severe Acute Respiratory Syndrome by Covid-19 in the year 2020 to analyze the mortality rate from SARS. The research applied the k-means method to cluster these establishments. The silhouette coefficient suggested that all individuals were correctly allocated within the six generated clusters. Three stability measures indicated a few 6 clusters to group these establishments. The FOM measure indicated the k-means method to apply in the clustering algorithm. It is concluded that the mortality rate from SARS by Covid-19 in 2020 does not differ from the rates described in the literature for these 151 hospitalization establishments in the city of São Paulo.

Key words: Covid-19, SARS, mortality rate, k-means, clusters

        JEL codes: C380, I120





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