This paper is in the following e-collection/theme issue:

#xPublicandGlobalHealth (34) JMIR Theme Issue: COVID-19 Special Issue (2461) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Statistical Methods for Surveillance and Population Health (158) #xEpidemiology (8)

Published on in Vol 2, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.07.13.20153080v1, first published .
A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study

A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study

A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study

Authors of this article:

Eduardo Atem De Carvalho1 Author Orcid Image ;   Rogerio Atem De Carvalho2 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Eduardo Atem De Carvalho   1 * , PhD, MSc, BSc ;   Rogerio Atem De Carvalho   2 * , DSC, MSc, MBA, BSc

1 Center for Science and Technology, Universidade Estadual do Norte Fluminense, Campos, Brazil

2 Innovation Hub, Instituto Federal Fluminense, Campos, Brazil

*all authors contributed equally

Corresponding Author:

  • Rogerio Atem De Carvalho, DSC, MSc, MBA, BSc
  • Innovation Hub
  • Instituto Federal Fluminense
  • R. Cel Walter Kramer, 357
  • Campos, 28080-565
  • Brazil
  • Phone: 55 22-27375692
  • Email: ratem@iff.edu.br