The Rapid Assessment and Early Warning Models for COVID-19

Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020

(2020) Julien Riou et al.   Eurosurveillance

2019 Novel coronavirus: where we are and what we know

(2020) Zhangkai J. Cheng et al.   INFECTION

Cross‐species transmission of the newly identified coronavirus 2019‐nCoV

(2020) Wei Ji et al.   JOURNAL OF MEDICAL VIROLOGY

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

(2020) Chaolin Huang et al.   LANCET

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

2019_nCoV/SARS‐CoV‐2: rapid classification of betacoronaviruses and identification of Traditional Chinese Medicine as potential origin of zoonotic coronaviruses

(2020) T.M. Wassenaar et al.   LETTERS IN APPLIED MICROBIOLOGY

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

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

RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak

(2020) Liangjun Chen et al.   Emerging Microbes & Infections

Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak

(2020) Shi Zhao et al.   Journal of Clinical Medicine

Real-Time Estimation of the Risk of Death from Novel Coronavirus (COVID-19) Infection: Inference Using Exported Cases

(2020) Sung-mok Jung et al.   Journal of Clinical Medicine

Full-genome evolutionary analysis of the novel corona virus (2019-nCoV) rejects the hypothesis of emergence as a result of a recent recombination event

(2020) D. Paraskevis et al.   INFECTION GENETICS AND EVOLUTION

Simple framework for real-time forecast in a data-limited situation: the Zika virus (ZIKV) outbreaks in Brazil from 2015 to 2016 as an example

(2019) Shi Zhao et al.   Parasites & Vectors

How decision makers can use quantitative approaches to guide outbreak responses

(2019) Oliver Morgan   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Assessment of autoregressive integrated moving average (ARIMA), generalized linear autoregressive moving average (GLARMA), and random forest (RF) time series regression models for predicting influenza A virus frequency in swine in Ontario, Canada

(2018) Tatiana Petukhova et al.   PLoS One

Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection

(2018) Wei Gu et al.   Annual Review of Pathology-Mechanisms of Disease

Host and viral traits predict zoonotic spillover from mammals

(2017) Kevin J. Olival et al.   NATURE

Towards a genomics-informed, real-time, global pathogen surveillance system

(2017) Jennifer L. Gardy et al.   NATURE REVIEWS GENETICS

A preliminary analysis of the epidemiology of influenza A(H1N1)v virus infection in Thailand from early outbreak data, June-July 2009

(2017) U C de Silva et al.   Eurosurveillance

Estimating the risk of Middle East respiratory syndrome (MERS) death during the course of the outbreak in the Republic of Korea, 2015

(2015) Kenji Mizumoto et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

A clustering approach for estimating parameters of a profile hidden Markov model

(2013) Rosa Aghdam et al.   International Journal of Data Mining and Bioinformatics

The Application of the Grey Disaster Model to Forecast Epidemic Peaks of Typhoid and Paratyphoid Fever in China

(2013) Xuejun Shen et al.   PLoS One

Artificial Neural Networks: Theoretical Background and Pharmaceutical Applications: A Review

(2012) Marek Wesolowski et al.   JOURNAL OF AOAC INTERNATIONAL

Ecology of zoonoses: natural and unnatural histories

(2012) William B Karesh et al.   LANCET

Stockpiling prepandemic influenza vaccines: a new cornerstone of pandemic preparedness plans

(2008) Lance C Jennings et al.   LANCET INFECTIOUS DISEASES