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

Journals

  1. Salman M. Peer Review of “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study”. JMIRx Med 2021;2(1):e27260 View
  2. De Carvalho E, De Carvalho R. Authors’ Response to Peer Reviews of “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study”. JMIRx Med 2021;2(1):e27537 View
  3. Facente S. Peer Review of “A Framework for a Statistical Characterization of Epidemic Cycles: COVID-19 Case Study”. JMIRx Med 2021;2(1):e27536 View