Adaptive Bayesian learning and forecasting of epidemic evolution—Data analysis of the COVID-19 outbreak
Since the beginning of 2020, the outbreak of a new strain of Coronavirus has caused
hundreds of thousands of deaths and put under heavy pressure the world's most advanced …
hundreds of thousands of deaths and put under heavy pressure the world's most advanced …
Quantifying the impact of early-stage contact tracing on controlling ebola diffusion
Recent experience of the Ebola outbreak in 2014 highlighted the importance of immediate
response measure to impede transmission in the early stage. To this aim, efficient and …
response measure to impede transmission in the early stage. To this aim, efficient and …
Inference of stochastic disease transmission models using particle-MCMC and a gradient based proposal
State-space models have been widely used to model the dynamics of communicable
diseases in populations of interest by fitting to time-series data. Particle filters have enabled …
diseases in populations of interest by fitting to time-series data. Particle filters have enabled …
COVID-19 outbreak in Greece has passed its rising inflection point and stepping into its peak
HV Georgiou - medRxiv, 2020 - medrxiv.org
Since the beginning of 2020, COVID-19 is the most urgent and challenging task for the
international scientific community, in order to identify its behaviour, track its progress and …
international scientific community, in order to identify its behaviour, track its progress and …
Mobility analytics and COVID-19 in Greece
H Georgiou, C Theodoridis, Y Theodoridis - The Science behind the …, 2022 - Springer
This work is focused on multi-aspect analytics of epidemic data, using Greece as the use
case for assessing the national outbreak and estimating the general trends and outlook of it …
case for assessing the national outbreak and estimating the general trends and outlook of it …
Disease Surveillance Using Bayesian Methods
C Rosato - 2023 - search.proquest.com
Abstract Developing Markov Chain Monte Carlo (MCMC) algorithms has been an active
area of research. Extensions of the original Metropolis-Hastings random walk (MHRW) …
area of research. Extensions of the original Metropolis-Hastings random walk (MHRW) …
A method for parameters estimation in a dynamical model of Ebola virus transmission in Sierra Leone
L Li, LX Du, Z Yan, J Zhang, YP Wu - Complexity, 2020 - Wiley Online Library
Ebola is an infectious virus that causes Ebola hemorrhagic fever in primates and humans,
which was first found in 1976. The Ebola virus outbreak in West Africa in 2014 was the …
which was first found in 1976. The Ebola virus outbreak in West Africa in 2014 was the …
Short-term forecast and dual state-parameter estimation for Japanese Encephalitis transmission using ensemble Kalman filter
We formulate an ensemble Kalman filter (EnKF) that provides dual state-parameter
estimates for the transmission of Japanese Encephalitis (JE)-a vector-borne disease. A short …
estimates for the transmission of Japanese Encephalitis (JE)-a vector-borne disease. A short …
[PDF][PDF] Information Processing Methodologies to Combat the COVID-19 Pandemic
Information and signal processing tools are crucial for interpreting coronavirus disease 2019
(COVID-19) pandemic data. These tools allow us to extract, synthesize, and interpret …
(COVID-19) pandemic data. These tools allow us to extract, synthesize, and interpret …
Estimation of parameters and basic reproductive ratio for japanese encephalitis transmission in the philippines using a sequential monte carlo filter
MH Riad, CM Scoglio, DS McVey… - … IEEE Conference on …, 2017 - ieeexplore.ieee.org
We developed a sequential Monte Carlo filter to estimate the states and the parameters in a
stochastic model of Japanese Encephalitis (JE) spread in the Philippines. This method is …
stochastic model of Japanese Encephalitis (JE) spread in the Philippines. This method is …