A time series-based statistical approach for outbreak spread forecasting: Application of COVID-19 in Greece

Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

(2020) Shi Zhao et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

(2020) Joseph T Wu et al.   LANCET

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

(2020) Qun Li et al.   NEW ENGLAND JOURNAL OF MEDICINE

Optimization Method for Forecasting Confirmed Cases of COVID-19 in China

(2020) Mohammed A. A. Al-qaness et al.   Journal of Clinical Medicine

Analysis and forecast of COVID-19 spreading in China, Italy and France

(2020) Duccio Fanelli et al.   CHAOS SOLITONS & FRACTALS

Forecasting the novel coronavirus COVID-19

(2020) Fotios Petropoulos et al.   PLoS One

Data-based analysis, modelling and forecasting of the COVID-19 outbreak

(2020) Cleo Anastassopoulou et al.   PLoS One

tsiR: An R package for time-series Susceptible-Infected-Recovered models of epidemics

(2017) Alexander D. Becker et al.   PLoS One

Hand, Foot, and Mouth Disease in China: Modeling Epidemic Dynamics of Enterovirus Serotypes and Implications for Vaccination

(2016) Saki Takahashi et al.   PLOS MEDICINE

Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks

(2014) Michael J Kane et al.   BMC BIOINFORMATICS

Predictability in a highly stochastic system: final size of measles epidemics in small populations

(2014) Q. Caudron et al.   Journal of the Royal Society Interface