[HTML][HTML] COVID-19 epidemic prediction and the impact of public health interventions: A review of COVID-19 epidemic models
Y Xiang, Y Jia, L Chen, L Guo, B Shu, E Long - Infectious Disease …, 2021 - Elsevier
The coronavirus disease outbreak of 2019 (COVID-19) has been spreading rapidly to all
corners of the word, in a very complex manner. A key research focus is in predicting the …
corners of the word, in a very complex manner. A key research focus is in predicting the …
COVID-19 surface persistence: a recent data summary and its importance for medical and dental settings
L Fiorillo, G Cervino, M Matarese, C D'Amico… - International journal of …, 2020 - mdpi.com
Recently, due to the coronavirus pandemic, many guidelines and anti-contagion strategies
continue to report unclear information about the persistence of coronavirus disease 2019 …
continue to report unclear information about the persistence of coronavirus disease 2019 …
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
Abstract The novel coronavirus (COVID-19) has significantly spread over the world and
comes up with new challenges to the research community. Although governments imposing …
comes up with new challenges to the research community. Although governments imposing …
A COVID-19 epidemic model with latency period
At the beginning of a COVID-19 infection, there is a period of time known as the exposed or
latency period, before an infected person is capable of transmitting the infection to another …
latency period, before an infected person is capable of transmitting the infection to another …
A new study of unreported cases of 2019-nCOV epidemic outbreaks
nCOV epidemic is one of the greatest threat that the mortality faced since the World War-2
and most decisive global health calamity of the century. In this manuscript, we study the …
and most decisive global health calamity of the century. In this manuscript, we study the …
Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data
We model the COVID-19 coronavirus epidemic in China. We use early reported case data to
predict the cumulative number of reported cases to a final size. The key features of our …
predict the cumulative number of reported cases to a final size. The key features of our …
Multiple ensemble neural network models with fuzzy response aggregation for predicting COVID-19 time series: the case of Mexico
In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
[图书][B] Basics and trends in sensitivity analysis: Theory and practice in R
In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
Temperature decreases spread parameters of the new Covid-19 case dynamics
J Demongeot, Y Flet-Berliac, H Seligmann - Biology, 2020 - mdpi.com
(1) Background: The virulence of coronavirus diseases due to viruses like SARS-CoV or
MERS-CoV decreases in humid and hot weather. The putative temperature dependence of …
MERS-CoV decreases in humid and hot weather. The putative temperature dependence of …
Malaria and COVID-19 co-dynamics: A mathematical model and optimal control
Malaria, one of the longest-known vector-borne diseases, poses a major health problem in
tropical and subtropical regions of the world. Its complexity is currently being exacerbated by …
tropical and subtropical regions of the world. Its complexity is currently being exacerbated by …