Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Chénangnon Frédéric Tovissodé"'
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 10 (2024)
There is a growing interest in the joint modeling of the dynamics of disease and health-related beliefs and attitudes, but coupling mechanisms are yet to be understood. We introduce a model where risk information, which can be delayed, comes in two f
Externí odkaz:
https://doaj.org/article/d3b146c4ec6e43aa944ae673413816f7
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12955-12989 (2023)
Various general and individual measures have been implemented to limit the spread of SARS-CoV-2 since its emergence in China. Several phenomenological and mechanistic models have been developed to inform and guide health policy. Many of these models
Externí odkaz:
https://doaj.org/article/a692a8fc2abb4317b54a5edb90c3e6f8
Autor:
Bruno Enagnon Lokonon, Yvette Montcho, Paul Klingler, Chénangnon Frédéric Tovissodé, Romain Glèlè Kakaï, Martin Wolkewitz
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundThe Efficacy and effectiveness of vaccination against SARS-CoV-2 have clearly been shown by randomized trials and observational studies. Despite these successes on the individual level, vaccination of the population is essential to relievin
Externí odkaz:
https://doaj.org/article/644b8808488f473db811c6d62c9bcd6c
Autor:
Yvette Montcho, Paul Klingler, Bruno Enagnon Lokonon, Chénangnon Frédéric Tovissodé, Romain Glèlè Kakaï, Martin Wolkewitz
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
IntroductionEvaluating the potential effects of non-pharmaceutical interventions on COVID-19 dynamics is challenging and controversially discussed in the literature. The reasons are manifold, and some of them are as follows. First, interventions are
Externí odkaz:
https://doaj.org/article/57a5701f1f9e417d9de12461c9eadfaf
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249604 (2021)
Binary Generalized Linear Mixed Model (GLMM) is the most common method used by researchers to analyze clustered binary data in biological and social sciences. The traditional approach to GLMMs causes substantial bias in estimates due to steady shape
Externí odkaz:
https://doaj.org/article/a9bc3df3e81d45bc833005b9626acfc7
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0240578 (2020)
The initial phase dynamics of an epidemic without containment measures is commonly well modelled using exponential growth models. However, in the presence of containment measures, the exponential model becomes less appropriate. Under the implementati
Externí odkaz:
https://doaj.org/article/4db579073fe3471498c5bc544eea7284
Publikováno v:
Biology, Vol 10, Iss 5, p 365 (2021)
The widely used logistic model for epidemic case reporting data may be either restrictive or unrealistic in presence of containment measures when implemented after an epidemic outbreak. For flexibility in epidemic case reporting data modeling, we com
Externí odkaz:
https://doaj.org/article/add1b491e92c4bb5b45ae39ef055d680
Publikováno v:
Mathematics, Vol 9, Iss 5, p 555 (2021)
Most existing flexible count distributions allow only approximate inference when used in a regression context. This work proposes a new framework to provide an exact and flexible alternative for modeling and simulating count data with various types o
Externí odkaz:
https://doaj.org/article/850f3c0769574af6b26b251e629cb2c3
Publikováno v:
Statistics. 56:823-843
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de0a43da652a36cc1884d33fe2c96328
https://doi.org/10.1080/02331888.2022.2084095
https://doi.org/10.1080/02331888.2022.2084095
The normal and Poisson distribution assumptions in the normal-Poisson mixed effects regression model are often too restrictive for many real count data. Several works have independently relaxed the Poisson conditional distribution assumption for coun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86c6720a76b2c7dff85c221ee568f680
