Review of fractional epidemic models
The global impact of corona virus (COVID-19) has been profound, and the public health
threat it represents is the most serious seen in a respiratory virus since the 1918 influenza A …
threat it represents is the most serious seen in a respiratory virus since the 1918 influenza A …
A systematic review of studies on forecasting the dynamics of influenza outbreaks
EO Nsoesie, JS Brownstein… - Influenza and other …, 2014 - Wiley Online Library
Forecasting the dynamics of influenza outbreaks could be useful for decision‐making
regarding the allocation of public health resources. Reliable forecasts could also aid in the …
regarding the allocation of public health resources. Reliable forecasts could also aid in the …
Optimization method for forecasting confirmed cases of COVID-19 in China
MAA Al-Qaness, AA Ewees, H Fan… - Journal of clinical …, 2020 - mdpi.com
In December 2019, a novel coronavirus, called COVID-19, was discovered in Wuhan, China,
and has spread to different cities in China as well as to 24 other countries. The number of …
and has spread to different cities in China as well as to 24 other countries. The number of …
Time series modelling to forecast the confirmed and recovered cases of COVID-19
Coronaviruses are enveloped RNA viruses from the Coronaviridae family affecting
neurological, gastrointestinal, hepatic and respiratory systems. In late 2019 a new member …
neurological, gastrointestinal, hepatic and respiratory systems. In late 2019 a new member …
The parable of Google Flu: traps in big data analysis
In February 2013, Google Flu Trends (GFT) made headlines but not for a reason that Google
executives or the creators of the flu tracking system would have hoped. Nature reported that …
executives or the creators of the flu tracking system would have hoped. Nature reported that …
Marine predators algorithm for forecasting confirmed cases of COVID-19 in Italy, USA, Iran and Korea
MAA Al-Qaness, AA Ewees, H Fan… - International journal of …, 2020 - mdpi.com
The current pandemic of the new coronavirus, severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), or COVID-19, has received wide attention by scholars and …
coronavirus 2 (SARS-CoV-2), or COVID-19, has received wide attention by scholars and …
Modeling and forecasting the spread and death rate of coronavirus (COVID-19) in the world using time series models
M Maleki, MR Mahmoudi, MH Heydari, KH Pho - Chaos, Solitons & Fractals, 2020 - Elsevier
Coronaviruses are a huge family of viruses that affect neurological, gastrointestinal, hepatic
and respiratory systems. The numbers of confirmed cases are increased daily in different …
and respiratory systems. The numbers of confirmed cases are increased daily in different …
Forecasting seasonal outbreaks of influenza
J Shaman, A Karspeck - Proceedings of the National …, 2012 - National Acad Sciences
Influenza recurs seasonally in temperate regions of the world; however, our ability to predict
the timing, duration, and magnitude of local seasonal outbreaks of influenza remains limited …
the timing, duration, and magnitude of local seasonal outbreaks of influenza remains limited …
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
Background Mathematical and computational models for infectious diseases are
increasingly used to support public-health decisions; however, their reliability is currently …
increasingly used to support public-health decisions; however, their reliability is currently …
Comparison of filtering methods for the modeling and retrospective forecasting of influenza epidemics
A variety of filtering methods enable the recursive estimation of system state variables and
inference of model parameters. These methods have found application in a range of …
inference of model parameters. These methods have found application in a range of …