Literature DB >> 33144506

Predicting an epidemic trajectory is difficult.

Claus O Wilke1, Carl T Bergstrom2.   

Abstract

Mesh：

Year:  2020        PMID： 33144506      PMCID： PMC7682412          DOI： 10.1073/pnas.2020200117

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN： 0027-8424            Impact factor:   11.205


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  5 in total

Review 1.  The quiet revolution of numerical weather prediction.

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Journal:  Nature       Date:  2015-09-03       Impact factor: 49.962

2.  How generation intervals shape the relationship between growth rates and reproductive numbers.

Authors:  J Wallinga; M Lipsitch
Journal:  Proc Biol Sci       Date:  2007-02-22       Impact factor: 5.349

3.  Superspreading and the effect of individual variation on disease emergence.

Authors:  J O Lloyd-Smith; S J Schreiber; P E Kopp; W M Getz
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

4.  Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering.

Authors:  Jessica Hullman; Paul Resnick; Eytan Adar
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

5.  The turning point and end of an expanding epidemic cannot be precisely forecast.

Authors:  Mario Castro; Saúl Ares; José A Cuesta; Susanna Manrubia
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-01       Impact factor: 11.205
  5 in total
  6 in total

1.  Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide.

Authors:  Ekaterina Krymova; Benjamín Béjar; Dorina Thanou; Tao Sun; Elisa Manetti; Gavin Lee; Kristen Namigai; Christine Choirat; Antoine Flahault; Guillaume Obozinski
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-03       Impact factor: 12.779

2.  Enhancing long-term forecasting: Learning from COVID-19 models.

Authors:  Hazhir Rahmandad; Ran Xu; Navid Ghaffarzadegan
Journal:  PLoS Comput Biol       Date:  2022-05-19       Impact factor: 4.779

3.  Commentary on "Transparent modeling of influenza incidence": Because the model said so.

Authors:  Robert Moss
Journal:  Int J Forecast       Date:  2021-02-26

4.  Modeling the evolution of SARS-CoV-2 under non-pharmaceutical interventions and testing.

Authors:  Yael Gurevich; Yoav Ram; Lilach Hadany
Journal:  Evol Med Public Health       Date:  2022-04-18

5.  Bayesian sequential data assimilation for COVID-19 forecasting.

Authors:  Maria L Daza-Torres; Marcos A Capistrán; Antonio Capella; J Andrés Christen
Journal:  Epidemics       Date:  2022-04-22       Impact factor: 5.324

6.  COVIDHunter: COVID-19 Pandemic Wave Prediction and Mitigation via Seasonality Aware Modeling.

Authors:  Mohammed Alser; Jeremie S Kim; Nour Almadhoun Alserr; Stefan W Tell; Onur Mutlu
Journal:  Front Public Health       Date:  2022-06-17
  6 in total

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