Literature DB >> 25373654

Models overestimate Ebola cases.

Declan Butler.   

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Year:  2014        PMID： 25373654     DOI： 10.1038/515018a

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  17 in total

1.  Opinion: Mathematical models: a key tool for outbreak response.

Authors:  Eric T Lofgren; M Elizabeth Halloran; Caitlin M Rivers; John M Drake; Travis C Porco; Bryan Lewis; Wan Yang; Alessandro Vespignani; Jeffrey Shaman; Joseph N S Eisenberg; Marisa C Eisenberg; Madhav Marathe; Samuel V Scarpino; Kathleen A Alexander; Rafael Meza; Matthew J Ferrari; James M Hyman; Lauren A Meyers; Stephen Eubank
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-10       Impact factor: 11.205

2.  Ebola: models do more than forecast.

Authors:  Caitlin Rivers
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

3.  Essential information: Uncertainty and optimal control of Ebola outbreaks.

Authors:  Shou-Li Li; Ottar N Bjørnstad; Matthew J Ferrari; Riley Mummah; Michael C Runge; Christopher J Fonnesbeck; Michael J Tildesley; William J M Probert; Katriona Shea
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-15       Impact factor: 11.205

4.  Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity.

Authors:  Elizabeth C Lee; Michael R Kelly; Brad M Ochocki; Segun M Akinwumi; Karen E S Hamre; Joseph H Tien; Marisa C Eisenberg
Journal:  J Theor Biol       Date:  2017-01-24       Impact factor: 2.691

5.  Model-Based Policymaking: A Framework to Promote Ethical "Good Practice" in Mathematical Modeling for Public Health Policymaking.

Authors:  Lisa A Boden; Iain J McKendrick
Journal:  Front Public Health       Date:  2017-04-05

6.  Ebola: the power of behaviour change.

Authors:  Sebastian Funk; Gwenan M Knight; Vincent A A Jansen
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

7.  Beyond crystal balls: crosscutting solutions in global health to prepare for an unpredictable future.

Authors:  Wladimir Jimenez Alonso; Benjamin Joseph James McCormick; Mark A Miller; Cynthia Schuck-Paim; Ghassem R Asrar
Journal:  BMC Public Health       Date:  2015-09-24       Impact factor: 3.295

8.  Detecting Presymptomatic Infection Is Necessary to Forecast Major Epidemics in the Earliest Stages of Infectious Disease Outbreaks.

Authors:  Robin N Thompson; Christopher A Gilligan; Nik J Cunniffe
Journal:  PLoS Comput Biol       Date:  2016-04-05       Impact factor: 4.475

9.  Strong Inference in Mathematical Modeling: A Method for Robust Science in the Twenty-First Century.

Authors:  Vitaly V Ganusov
Journal:  Front Microbiol       Date:  2016-07-22       Impact factor: 5.640

10.  Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example.

Authors:  Christopher E Overton; Helena B Stage; Shazaad Ahmad; Jacob Curran-Sebastian; Paul Dark; Rajenki Das; Elizabeth Fearon; Timothy Felton; Martyn Fyles; Nick Gent; Ian Hall; Thomas House; Hugo Lewkowicz; Xiaoxi Pang; Lorenzo Pellis; Robert Sawko; Andrew Ustianowski; Bindu Vekaria; Luke Webb
Journal:  Infect Dis Model       Date:  2020-07-04
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