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List of bibliographic references indexed by rate

Number of relevant bibliographic references: 36.
[0-20] [0 - 20][0 - 36][20-35][20-40]
Ident.Authors (with country if any)Title
000249 (2020) Yang Liu [Royaume-Uni] ; Rosalind M. Eggo [Royaume-Uni] ; Adam J. Kucharski [Royaume-Uni]Secondary attack rate and superspreading events for SARS-CoV-2.
000406 (2020) Rui Liu [République populaire de Chine] ; Huan Han [République populaire de Chine] ; Fang Liu [République populaire de Chine] ; Zhihua Lv [République populaire de Chine] ; Kailang Wu [République populaire de Chine] ; Yingle Liu [République populaire de Chine] ; Yong Feng [République populaire de Chine] ; Chengliang Zhu [République populaire de Chine]Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020
000700 (2020) Shu Yang [République populaire de Chine] ; Peihua Cao [République populaire de Chine] ; Peipei Du [République populaire de Chine] ; Ziting Wu [République populaire de Chine, États-Unis] ; Zian Zhuang [République populaire de Chine] ; Lin Yang [République populaire de Chine] ; Xuan Yu [République populaire de Chine] ; Qi Zhou [République populaire de Chine] ; Xixi Feng [République populaire de Chine] ; Xiaohui Wang [République populaire de Chine] ; Weiguo Li [République populaire de Chine] ; Enmei Liu [République populaire de Chine] ; Ju Chen [République populaire de Chine] ; Yaolong Chen [République populaire de Chine] ; Daihai He [République populaire de Chine]Early estimation of the case fatality rate of COVID-19 in mainland China: a data-driven analysis
000800 (2020) Chu-Wen Yang [Taïwan] ; Mei-Fang Chen [Taïwan]Composition of human-specific slow codons and slow di-codons in SARS-CoV and 2019-nCoV are lower than other coronaviruses suggesting a faster protein synthesis rate of SARS-CoV and 2019-nCoV.
000C93 (2018) Xiao-Ting Lin [Taïwan] ; Nai-Yun Hsu [Taïwan] ; Jen-Ren Wang [Taïwan] ; Nai-Tzu Chen [Taïwan] ; Huey-Jen Su [Taïwan] ; Ming-Yeng Lin [Taïwan]Development of an efficient viral aerosol collector for higher sampling flow rate.
001242 (2015) Shu Yuan [Oman]Statins May Decrease the Fatality Rate of Middle East Respiratory Syndrome Infection.
001260 (2015) Allison L. Totura [États-Unis] ; Ralph S. Baric [États-Unis]Reply to "Statins may decrease the Fatality Rate of MERS Infection".
001323 (2015) Rebecca M. Mingo [États-Unis] ; James A. Simmons [États-Unis] ; Charles J. Shoemaker [États-Unis] ; Elizabeth A. Nelson [États-Unis] ; Kathryn L. Schornberg [États-Unis] ; Ryan S. D'Souza [États-Unis] ; James E. Casanova [États-Unis] ; Judith M. White [États-Unis]Ebola virus and severe acute respiratory syndrome coronavirus display late cell entry kinetics: evidence that transport to NPC1+ endolysosomes is a rate-defining step.
001447 (2015) Rachel Fox [Royaume-Uni] ; David Stuckey [Royaume-Uni]MS‐2 and T4 phage removal in an anaerobic membrane bioreactor (AnMBR): effect of gas sparging rate
001525 (2014) Yanan Zhu [République populaire de Chine] ; Juanjuan Zhang [République populaire de Chine] ; Jingjing Han [République populaire de Chine] ; Huilin Chen [République populaire de Chine] ; Zihang Lu [République populaire de Chine] ; Zheng Chen [République populaire de Chine][Estimation and application of case fatality rate, using the summarizing data].
001653 (2014) Maimuna S. Majumder ; Caitlin Rivers ; Eric Lofgren ; David FismanEstimation of MERS-Coronavirus Reproductive Number and Case Fatality Rate for the Spring 2014 Saudi Arabia Outbreak: Insights from Publicly Available Data
001A82 (2013) Wenbin Wang [République populaire de Chine] ; Ziniu Wu [République populaire de Chine] ; Chunfeng Wang [République populaire de Chine] ; Ruifeng Hu [République populaire de Chine]Modelling the spreading rate of controlled communicable epidemics through an entropy-based thermodynamic model
001C90 (2012) Hiroshi Yoshikura [Japon]On case-fatality rate: review and hypothesis.
001E18 (2012) Anna Mummert [États-Unis]Studying the recovery procedure for the time-dependent transmission rate(s) in epidemic models
002100 (2011) Sudhir Singh Soam [Inde] ; Bharat Bhasker ; Bhartendu Nath MishraImproved prediction of MHC class I binders/non-binders peptides through artificial neural network using variable learning rate: SARS corona virus, a case study.
002158 (2011) Hiroshi Yoshikura [Japon]A new method for monitoring and forecasting the case-fatality rate in ongoing epidemics and its evaluation using published data of SARS in 2003, H1N1 pandemic in 2009/2010, hand-foot-mouth disease in China in 2009/2010, and cholera in Haiti in 2010.
002264 (2011) R. J. Piso [Suisse] ; Y. Albrecht [Suisse] ; P. Handschin [Suisse] ; S. Bassetti [Suisse]Low transmission rate of 2009 H1N1 Influenza during a long-distance bus trip
002821 (2010) Lorenzo Pellis [Royaume-Uni] ; Neil M. Ferguson [Royaume-Uni] ; Christophe Fraser [Royaume-Uni]Epidemic growth rate and household reproduction number in communities of households, schools and workplaces
002A88 (2009) Yi Jiang [République populaire de Chine] ; Bin Zhao [République populaire de Chine] ; Xiaofeng Li [République populaire de Chine] ; Xudong Yang [République populaire de Chine] ; Zhiqin Zhang [République populaire de Chine] ; Yufeng Zhang [République populaire de Chine]Investigating a safe ventilation rate for the prevention of indoor SARS transmission: An attempt based on a simulation approach.
003382 (2008) F C K. Li [Canada] ; B C K. Choi [Canada] ; T. Sly [Canada] ; A W P. Pak [Canada]Finding the real case-fatality rate of H5N1 avian influenza
003440 (2008) K. F. Lam [Hong Kong] ; J. V. Deshpande [Inde] ; E. H. Y. Lau [Hong Kong] ; U. V. Naik-Nimbalkar [Inde] ; P. S. F. Yip [Hong Kong] ; Ying Xu [Hong Kong]A Test for Constant Fatality Rate of an Emerging Epidemic: With Applications to Severe Acute Respiratory Syndrome in Hong Kong and Beijing

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