[HTML][HTML] What can we learn from previous pandemics to reduce the frequency of emerging infectious diseases like COVID-19?
SL Priyadarsini, M Suresh, D Huisingh - Global transitions, 2020 - Elsevier
… etc along with host factors can also trigger changes in reservoir host populations or
intermediate vectors which can contribute to pathogen evolution and emergence of epidemics or …
intermediate vectors which can contribute to pathogen evolution and emergence of epidemics or …
Preparation for possible sustained transmission of 2019 novel coronavirus: lessons from previous epidemics
DL Swerdlow, L Finelli - Jama, 2020 - jamanetwork.com
… China, applicable lessons from previous experiences with epidemics/pandemics of respiratory
… These plans would be useful to enact during the 2019-nCoV epidemic should the United …
… These plans would be useful to enact during the 2019-nCoV epidemic should the United …
Epidemic model guided machine learning for COVID-19 forecasts in the United States
… a new epidemic model and a machine learning method to … be characterized by the classical
epidemic models such as the … Therefore, we proposed a new epidemic model that takes the …
epidemic models such as the … Therefore, we proposed a new epidemic model that takes the …
[HTML][HTML] Lessons learned from the 2019-nCoV epidemic on prevention of future infectious diseases
X Pan, DM Ojcius, T Gao, Z Li, C Pan, C Pan - Microbes and infection, 2020 - Elsevier
… human traffic, the threat of epidemics on human beings is … epidemic, the process of battling
previous epidemics has brought with it valuable experience for responding to future epidemics…
previous epidemics has brought with it valuable experience for responding to future epidemics…
Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models
… , and control of epidemic dynamics. We discuss different approaches to epidemic modeling,
… of differential equations, which describe the epidemic spreading at the population level, to …
… of differential equations, which describe the epidemic spreading at the population level, to …
DEFSI: Deep learning based epidemic forecasting with synthetic information
… ) as well as the output and the cell state of its previous cell as inputs. We design a two-branch …
on the previous a weeks of within-season state level ILI incidences x1 and the previous b …
on the previous a weeks of within-season state level ILI incidences x1 and the previous b …
[图书][B] Stochastic epidemic models with inference
… reader learn about stochastic epidemic models (… epidemic outbreaks, in particular in Chapter
4 of Part III, where the spread of HIV in Cuba is analysed by means of a network epidemic …
4 of Part III, where the spread of HIV in Cuba is analysed by means of a network epidemic …
Estimation in emerging epidemics: biases and remedies
T Britton, G Scalia Tomba - Journal of the Royal Society …, 2019 - royalsocietypublishing.org
… Consider one infected individual with onset of symptoms at time s that has been traced for
previous infectious contacts and assume that these exposures took place at the time points e 1 …
previous infectious contacts and assume that these exposures took place at the time points e 1 …
Responses to COVID-19: The role of governance, healthcare infrastructure, and learning from past pandemics
… learning from previous pandemics using the number of people infected in two previous …
experts, who are prepared to deal with an epidemic immediately, as well as lists of supplies to be …
experts, who are prepared to deal with an epidemic immediately, as well as lists of supplies to be …
Epideep: Exploiting embeddings for epidemic forecasting
… -trivial deep learning model for epidemic forecasting which … Baselines: While several methods
exist for influenza epidemic … Here, we compute historical average of all previous seasons …
exist for influenza epidemic … Here, we compute historical average of all previous seasons …