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COVID answers in Scientific Journals all over the world

Publishing House: Institute of Mathematical Statistics

35 Results       Page 1

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  original article Journal Date Title Authors All Authors
1 [GO] The Annals of Applied Statistics 2025―May―28 Temporal network influence model with application to the COVID-19 population flow network Dongxue Zhang, Long Feng, Yujia Wu, Wei Lan, Jing Zhou
2 [GO] The Annals of Applied Statistics 2025―Mar―18 Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk Justin J. Slater, Patrick E. Brown, Jeffrey S. Rosenthal, Jorge Mateu
3 [GO] The Annals of Applied Statistics 2025―Mar―18 A three-state coupled Markov switching model for COVID-19 outbreaks across Q based on hospital admissions Dirk Douwes-Schultz, Alexandra M. Schmidt, Yannan Shen, David L. Buckeridge
4 [GO] The Annals of Applied Statistics 2025―Mar―18 Has the Covid-19 outbreak capsized the predictive performance of Bayesian VAR models with cointegration and time-varying volatility? Anna Pajor, Łukasz Kwiatkowski, Justyna Wróblewska
5 [GO] The Annals of Applied Statistics 2024―Oct―31 Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses Genya Kobayashi, Shonosuke Sugasawa, Yuki Kawakubo, Dongu Han, Taeryon Choi
6 [GO] The Annals of Applied Statistics 2024―Oct―31 Multisite disease analytics with applications to estimating COVID-19 undetected cases in Canada Matthew R. P. Parker, Jiguo Cao, Laura L. E. Cowen, Lloyd T. Elliott, Junling Ma
7 [GO] The Annals of Applied Statistics 2024―Aug―06 A nonparametric mixed-effects mixture model for patterns of clinical measurements associated with COVID-19 Xiaoran Ma, Wensheng Guo, Mengyang Gu, Len Usvyat, Peter Kotanko, Yuedong Wang
8 [GO] The Annals of Applied Statistics 2024―Aug―06 Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data Damon Bayer, Isaac H. Goldstein, Jonathan Fintzi, Keith Lumbard, Emily Ricotta, Sarah Warner, et al. (+10)
9 [GO] Brazilian Journal of Probability and Statistics 2024―Mar―05 Some estimation procedures for Covid-19 suspected persons in a locality using randomized response model G. N. Singh, D. Bhattacharyya, A. Bandyopadhyay
10 [GO] The Annals of Applied Statistics 2024―Jan―31 Nonnegative tensor completion for dynamic counterfactual prediction on COVID-19 pandemic Yaoming Zhen, Junhui Wang
11 [GO] The Annals of Applied Statistics 2024―Jan―31 Change point detection in dynamic Gaussian graphical models: The impact of COVID-19 pandemic on the U.S. stock market Beatrice Franzolini, Alexandros Beskos, Maria De Iorio, Warrick Poklewski Koziell, Karolina Grzeszkiewicz
12 [GO] The Annals of Applied Statistics 2023―Oct―31 Addressing selection bias and measurement error in COVID-19 case count data using auxiliary information Walter Dempsey
13 [GO] The Annals of Applied Statistics 2023―Oct―31 Modeling racial/ethnic differences in COVID-19 incidence with covariates subject to nonrandom missingness Rob Trangucci, Yang Chen, Jon Zelner
14 [GO] The Annals of Applied Statistics 2023―Oct―31 Estimating Covid-19 transmission time using Hawkes point processes Frederic Schoenberg
15 [GO] The Annals of Applied Statistics 2023―Oct―31 Estimating COVID-19 vaccine protection rates via dynamic epidemiological models-a study of 10 countries Yuru Zhu, Jia Gu, Yumou Qiu, Song Xi Chen
16 [GO] The Annals of Applied Statistics 2023―Oct―31 Bayesian learning of Covid-19 vaccine safety while incorporating adverse events ontology Bangyao Zhao, Yuan Zhong, Jian Kang, Lili Zhao
17 [GO] The Annals of Applied Statistics 2023―Sep―07 Real-time mechanistic Bayesian forecasts of COVID-19 mortality Graham C. Gibson, Nicholas G. Reich, Daniel Sheldon
18 [GO] The Annals of Applied Statistics 2023―May―01 Estimating global and country-specific excess mortality during the Covid-19 pandemic Victoria Knutson, Serge Aleshin-Guendel, Ariel Karlinsky, William Msemburi, Jon Wakefield
19 [GO] The Annals of Applied Statistics 2023―Jan―24 Bayesian clustering of spatial functional data with application to a human mobility study during COVID-19 Bohai Zhang, Huiyan Sang, Zhao Tang Luo, Hui Huang
20 [GO] The Annals of Applied Statistics 2023―Jan―24 Social distancing and COVID-19: Randomization inference for a structured dose-response relationship Bo Zhang, Siyu Heng, Ting Ye, Dylan S. Small
21 [GO] Bayesian Analysis 2022―Oct―03 Regularised B-splines Projected Gaussian Process Priors to Estimate Time-trends in Age-specific COVID-19 Deaths Mélodie Monod, Alexandra Blenkinsop, Andrea Brizzi, Yu Chen, Carlos Cardoso Correia Perello, Vidoushee Jogarah, et al. (+4)
22 [GO] The Annals of Applied Statistics 2022―Sep―27 Causal inference for the effect of mobility on COVID-19 deaths Matteo Bonvini, Edward H. Kennedy, Valerie Ventura, Larry Wasserman
23 [GO] The Annals of Applied Statistics 2022―Sep―27 Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak Chih-Li Sung
24 [GO] Statistical Science 2022―May―17 Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting Bin Yu, Chandan Singh
25 [GO] Statistical Science 2022―May―17 Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion Maria Jahja, Andrew Chin, Ryan J. Tibshirani
26 [GO] Statistical Science 2022―May―17 Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic Saskia Comess, Hannah Wang, Susan Holmes, Claire Donnat
27 [GO] Statistical Science 2022―May―17 Lessons Learned from the COVID-19 Pandemic: A Statistician’s Reflection Xihong Lin
28 [GO] Statistical Science 2022―May―17 Learning and Predicting from Dynamic Models for COVID-19 Patient Monitoring Zitong Wang, Mary Grace Bowring, Antony Rosen, Brian Garibaldi, Scott Zeger, Akihiko Nishimura
29 [GO] Statistical Science 2022―May―17 Statistical Challenges in Tracking the Evolution of SARS-CoV-2 Lorenzo Cappello, Jaehee Kim, Sifan Liu, Julia A. Palacios
30 [GO] Statistical Science 2022―May―17 Being a Public Health Statistician During a Global Pandemic Bhramar Mukherjee
31 [GO] Statistical Science 2022―May―17 Data Science in a Time of Crisis: Lessons from the Pandemic Chiara Sabatti, John M. Chambers
32 [GO] Statistical Science 2022―May―17 Interoperability of Statistical Models in Pandemic Preparedness: Principles and Reality George Nicholson, Marta Blangiardo, Mark Briers, Peter J. Diggle, Tor Erlend Fjelde, Hong Ge, et al. (+9)
33 [GO] The Annals of Applied Statistics 2022―Mar―29 Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic Harlan Campbell, Perry de Valpine, Lauren Maxwell, Valentijn M. T. de Jong, Thomas P. A. Debray, Thomas Jaenisch, Paul Gustafson
34 [GO] The Annals of Applied Statistics 2021―Mar―19 BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic Qingyuan Zhao, Nianqiao Ju, Sergio Bacallado, Rajen D. Shah
35 [GO] The Annals of Applied Statistics 2020―Apr―16 Efficient real-time monitoring of an emerging influenza pandemic: How feasible? Paul J. Birrell, Lorenz Wernisch, Brian D. M. Tom, Leonhard Held, Gareth O. Roberts, Richard G. Pebody, Daniela De Angelis
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35 Results       Page 1



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