Mathematical and Statistical Modelling for Assessing COVID-19 Superspreader Contagion: Analysis of Geographical Heterogeneous Impacts from Public Events
During a pandemic, public discussion and decision-making may be required in face of limited evidence. Data-grounded analysis can support decision-makers in such contexts, contributing to inform public policies. We present an empirical analysis method based on regression modelling and hypotheses test...
Main Authors: | Conceição Leal, Leonel Morgado, Teresa A. Oliveira |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/5/1156 |
Similar Items
-
Superspreading and heterogeneity in transmission of SARS, MERS, and COVID-19: A systematic review
by: Jingxuan Wang, et al.
Published: (2021-01-01) -
A statistical framework for tracking the time-varying superspreading potential of COVID-19 epidemic
by: Zihao Guo, et al.
Published: (2023-03-01) -
Differences in the superspreading potentials of COVID-19 across contact settings
by: Yanji Zhao, et al.
Published: (2022-12-01) -
Characterization of potential superspreader farms for bovine tuberculosis: A review
by: Helen R. Fielding, et al.
Published: (2021-03-01) -
Heterogeneous emotional contagion of the cyber–physical society
by: Heqi Gao, et al.
Published: (2024-10-01)