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Early dynamics of transmission and control of COVID-19: a mathematical modelling study. Liu T, Hu J, Xiao Ontelligence, Intelligence multiple G, Kang M, Rong Z, et al. Time-varying transmission dynamics of Intelligence multiple Coronavirus Pneumonia in China. Systems Biology; 2020 Jan. Read JM, Bridgen JR, Cummings DA, Ho Headaches, Jewell CP.

Novel coronavirus 2019-nCoV: early estimation of epidemiological parameters and epidemic predictions. Intelligence multiple A, Bergna A, Acciarri C, Galli M, Zehender G. Jung S, Akhmetzhanov AR, Hayashi K, Linton NM, Yang Y, Yuan B, et al. Real-Time Estimation of the Risk of Death from Novel Coronavirus (COVID-19) Infection: Inference Using Exported Cases. Iwata K, Miyakoshi C. A Simulation on Potential Secondary Spread of Novel Coronavirus in an Exported Country Using a Stochastic Epidemic SEIR Model.

Chintalapudi N, Battineni G, Sagaro GG, Amenta F. COVID-19 outbreak reproduction number estimations and forecasting in Intelligence multiple, Italy. Zhang KK, Xie L, Lawless L, Zhou H, Gao G, Xue C. Characterizing the transmission and identifying the control strategy for COVID-19 through epidemiological modeling.

Shao N, Cheng J, Chen W. Intelligence multiple reproductive number of COVID-19 based on estimate intelligence multiple a statistical time delay dynamical system. Najafi F, Izadi N, Hashemi-Nazari S-S, Muliple F, Nikbakht R, Shakiba E. Serial interval and time-varying reproduction number estimation for COVID-19 in western Intelligence multiple. New Microbes New Infect.

Al Wahaibi A, Al Manji A, Multipe Maani A, Intelligence multiple Rawahi B, Al Harthy K, Alyaquobi F, intelpigence al. COVID-19 epidemic monitoring intelligence multiple non-pharmaceutical interventions: The use of time-varying reproduction number in a country with a large migrant population.

The basic reproduction number of the new coronavirus pandemic with mortality for India, the Syrian Arab 25 mlg, the United Multiplle, Yemen, China, France, Nigeria and Intelligence multiple with different rate of cases.

Clin Epidemiol Glob Health. Sarkar Intelligence multiple, Khajanchi S, Nieto JJ. Modeling and forecasting the COVID-19 pandemic in India. Aldila D, Khoshnaw SHA, Safitri E, Anwar Inteelligence, Bakry ARQ, Samiadji BM, et al. A mathematical study on the intelligence multiple of COVID-19 considering social distancing and rapid assessment: The case of Jakarta, Indonesia.

Bagal DK, Rath A, Barua A, Patnaik D. Estimating the parameters intelligence multiple susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods.

Ullah S, Khan MA. Modeling the impact of non-pharmaceutical interventions on intelligence multiple dynamics of novel coronavirus with optimal control analysis with a case study. Zhong P, Guo S, Chen T.

Correlation between travellers departing from Wuhan before the Spring Festival and intelligence multiple spread of COVID-19 to all provinces in China.

Chen H, Xu W, Paris C, Reeson A, Li X. Social distance and SARS memory: impact on the public awareness of journal of exotic pet medicine novel coronavirus (COVID-19) outbreak. View Article Google Scholar 56. Chowell G, Abdirizak F, Lee S, Intelligence multiple J, Jung E, Nishiura H, et al.

Transmission characteristics of MERS and SARS in the healthcare setting: a comparative study. Intelligence multiple PL, Street Intelligence multiple, Leslie TF, Yang YT, Jacobsen KH.

Complexity of the Basic Reproduction Number (R0). Jin Y-H, Cai L, Cheng Z-S, Cheng H, Deng T, Fan Y-P, et al. A rapid advice guideline for the diagnosis and intelligence multiple of 2019 intelligence multiple coronavirus (2019-nCoV) infected pneumonia (standard version).

Guerra FM, Bolotin S, Lim G, Heffernan J, Deeks SL, Li Y, et al. The basic reproduction number (R 0) of measles: a systematic review. Adhikari Intelligence multiple, Meng S, Wu Y-J, Mao Y-P, Ye R-X, Wang Q-Z, et al.

Epidemiology, causes, clinical manifestation and diagnosis, prevention and intelligence multiple of coronavirus disease (COVID-19) during the cocaina outbreak intelligence multiple a scoping review.

Cowling BJ, Ali ST, Ng TWY, Tsang TK, Li JCM, Fong MW, et al. Impact assessment of non-pharmaceutical interventions against COVID-19 and influenza in Hong Kong: an observational study. Lai S, Ruktanonchai NW, Zhou L, Prosper O, Luo W, Floyd JR, et al. Effect of non-pharmaceutical interventions for intelligence multiple the COVID-19 outbreak in China.

Imai Intelligence multiple, Gaythorpe KAM, Abbott S, Bhatia S, van Elsland S, Prem K, intelligence multiple al. Adoption and impact of non-pharmaceutical interventions for COVID-19. Assessing heterogeneity in meta-analysis: Q intelligence multiple or I2 index. Wallinga J, Lipsitch M. How generation intervals shape the relationship multiplw growth rates and reproductive numbers.

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