Title
Anticipating subsequent waves from first wave parameters in the ongoing covid-19 pandemic
Date Issued
29 July 2021
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
This paper focuses on the mathematical construction of a model that describes the statistical properties of a second wave of infections by Corona Virus Disease 2019 (Covid-19 in short) from the information of a first one. Basically this study is done having as grounds a topological model based at rectangles. Thus, perimeters and distances between rectangles might be encompassed to a real data through valid approximations. A full trapezoid model is also proposed. The two-rectangles model appears that fits well to the Philippines covid-19 data. It is seen that while both rectangles are pretty separated, the the peak of second wave turns out to be high. From this an exponential formulation is derived, and fits well the exponential morphology as seen in Covid-19 data France.
Start page
260
End page
265
Language
English
OCDE Knowledge area
Virología
Ingeniería de sistemas y comunicaciones
Enfermedades infecciosas
Subjects
Scopus EID
2-s2.0-85114477026
ISBN of the container
9781665400961
Conference
Proceedings of the 2021 5th World Conference on Smart Trends in Systems Security and Sustainability, WorldS4 2021
Sources of information:
Directorio de Producción Científica
Scopus